{"version":1,"generated_at":"2026-08-27T21:32:10.237Z","site":"https://erpagi.com","description":"Public ERPA/GI article discovery index. 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Keeping those evidence types distinct helps teams review security requirements and make an adoption decision without treating anecdotal discussion as vendor policy.","lang":"en","content_type":"ts","topic_key":"SEO AI Tools : r/localseo","keywords":["SEO AI Tools : r/localseo","ERPAGI Original Data — Last 30 Days","Implications for Local SEO and AI Visibility","Decision Criteria for Tool Selection","Technical Limits of Local AI Inference"],"published_at":"2026-08-16T22:33:38.062Z","updated_at":"2026-08-16T23:08:38.062Z","source_urls":["https://developers.google.com/search/docs/essentials?hl=en","https://developers.google.com/search/docs/appearance/ranking-systems-guide?hl=en","https://github.com/ggml-org/llama.cpp","https://www.reddit.com/r/localseo/comments/1vm4k54/what_seo_tools_do_you_actually_use_every_day/","https://www.reddit.com/r/localseo/comments/1vkcgld/anyone_else_trying_to_cut_back_on_seo_tool/","https://www.reddit.com/r/localseo/comments/1voq6d4/looking_for_an_all_in_one_seo_tool/","https://www.reddit.com/r/localseo/comments/1vn42vi/family_suggest_me_a_best_and_free_seo_tool/","https://www.reddit.com/r/localseo/comments/1vkului/worth_getting_into_seoai_visibility_now_or_better/","https://www.reddit.com/r/localseo/comments/1ve80wr/best_local_seogoogle_business_profile_tool_for_a/","https://www.reddit.com/r/localseo/comments/1vpj8tz/i_helped_a_local_business_get_200_more_inquiries/","https://www.reddit.com/r/localseo/comments/1vkeoya/a_lightweight_way_to_track_ai_visibility_for/","https://www.reddit.com/r/localseo/comments/1vf4033/reddit_answers_ai_opportunity_or_threat_for_local/"],"claim_count":2,"faq_count":4,"section_count":4,"has_evidence":true},{"id":"codex-limits-compared-to-claude-code-en","url":"/blog/codex-limits-compared-to-claude-code-en/","absolute_url":"https://erpagi.com/blog/codex-limits-compared-to-claude-code-en/","title":"Codex limits compared to Claude Code: Privacy Mode and SAML/OIDC SSO for Teams","summary":"This analysis separates 2 verified official claims from recent community observations. 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Standard와 Premium은 별도 기능 블록으로 제공되므로, 선택 전 플랜별 조건을 따로 확인해야 합니다.","lang":"ko","content_type":"pseo","topic_key":"cursor-ai-team-pricing-per-seat-agency-freelance-team-standards","keywords":["cursor-ai-team-pricing-per-seat-agency-freelance-team-standards","Cursor AI","팀 요금제 좌석(seat)당 가격","에이전시/외주팀 기준","비교표","ERPAGI 원본 데이터 — 최근 30일 커뮤니티 관찰","Teams 요금제의 가격 구조와 기본 포함 기능","에이전시 워크플로우를 위한 Agent 쿼터 분석","외주팀을 위한 보안 및 관리 기능 비교"],"published_at":"2026-08-16T04:14:19.463527Z","updated_at":"2026-08-16T04:14:19.463527Z","source_urls":["https://cursor.com/pricing","https://www.reddit.com/r/cursor/comments/1vo6zxz/cursor_is_now_part_of_spacex_cursor_ai/","https://www.reddit.com/r/cursor/comments/1vp28od/how_is_cursor_worth_60b/","https://www.reddit.com/r/cursor/comments/1vi79ib/for_those_using_cursor_right_now_is_it_actually/","https://www.reddit.com/r/cursor/comments/1v8xjt8/cursor_secretly_sending_your_codebase_regardless/","https://www.reddit.com/r/cursor/comments/1vjjzyd/cursor_agent_deleted_my_home/","https://www.reddit.com/r/cursor/comments/1vfbfam/heavy_cursor_team_here_is_their_seat_billing/","https://www.reddit.com/r/unsloth/comments/1voaxfx/ive_tried_cursor_claude_code_ollama_local_llms/","https://www.reddit.com/r/cursor/comments/1vgr3nu/whats_been_the_most_frustrating_or_expensive/","https://www.reddit.com/r/techsales/comments/1uzfeoj/cursor_vs_fireworks_ai_offers/"],"claim_count":3,"faq_count":3,"section_count":5,"has_evidence":true},{"id":"cursor-ai-team-privacy-mode-and-saml-oidc-sso-en","url":"/blog/cursor-ai-team-privacy-mode-and-saml-oidc-sso-en/","absolute_url":"https://erpagi.com/blog/cursor-ai-team-privacy-mode-and-saml-oidc-sso-en/","title":"Cursor AI Team Privacy Mode and SAML/OIDC SSO Analysis","summary":"Cursor Teams lists SAML/OIDC SSO as an option for connecting an existing identity provider, while Privacy Mode is enabled by default. 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AI team privacy mode and SAML/OIDC SSO: 팀 보안 설정과 공식 근거를 함께 확인하는 방법","summary":"이 문서는 공식 출처에서 확인한 기능과 조건을 중심으로 팀 보안 검토의 기준을 정리합니다. 최근 커뮤니티 관찰은 벤더 정책과 분리된 참고 신호로 다루며, 도입 전 확인할 범위와 제한을 함께 설명합니다.","lang":"ko","content_type":"ts","topic_key":"Cursor AI team privacy mode and SAML/OIDC SSO","keywords":["Cursor AI team privacy mode and SAML/OIDC SSO","ERPAGI Original Data — 최근 30일 커뮤니티 관찰","공식 문서에서 확인된 기능 범위","팀 운영에서 해석할 기준","제약과 도입 전 확인 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사항"],"published_at":"2026-08-16T02:37:20.129Z","updated_at":"2026-08-16T03:04:20.129Z","source_urls":["https://github.com/ggml-org/llama.cpp","https://ml-explore.github.io/mlx/build/html/index.html","https://www.reddit.com/r/dataanalysis/comments/1vmacz8/built_a_power_bi_dashboard_for_supply_chain/?tl=ko","https://www.reddit.com/r/historyteachers/comments/1vnkdi2/do_i_have_a_future_as_a_historian/","https://www.reddit.com/r/digital_marketing/comments/1vg6ccj/whats_something_in_marketing_that_takes_way/","https://www.reddit.com/r/gtmengineering/comments/1vefjx8/seeing_a_lot_of_posts_about_ai_sdrs_for_inbound/"],"claim_count":3,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"i-don-t-think-anthropic-and-openai-will-survive-r-llm-en","url":"/blog/i-don-t-think-anthropic-and-openai-will-survive-r-llm-en/","absolute_url":"https://erpagi.com/blog/i-don-t-think-anthropic-and-openai-will-survive-r-llm-en/","title":"I don't think Anthropic and OpenAI will survive : r/LLM: Privacy Mode and SAML/OIDC SSO for Teams","summary":"This brief separates conditions verified in official sources from recent community observations. Keeping those evidence types distinct helps teams review security requirements and make an adoption decision without treating anecdotal discussion as vendor policy.","lang":"en","content_type":"ts","topic_key":"I don't think Anthropic and OpenAI will survive : r/LLM","keywords":["I don't think Anthropic and OpenAI will survive : r/LLM","ERPAGI Original Data — Last 30 Days","Hardware Optimization and Performance","Hardware Compatibility Constraints","Decision Criteria for Local Inference"],"published_at":"2026-08-16T02:21:20.129Z","updated_at":"2026-08-16T03:04:20.129Z","source_urls":["https://github.com/ggml-org/llama.cpp","https://ml-explore.github.io/mlx/build/html/index.html","https://www.reddit.com/r/dataanalysis/comments/1vmacz8/built_a_power_bi_dashboard_for_supply_chain/?tl=ko","https://www.reddit.com/r/historyteachers/comments/1vnkdi2/do_i_have_a_future_as_a_historian/","https://www.reddit.com/r/digital_marketing/comments/1vg6ccj/whats_something_in_marketing_that_takes_way/","https://www.reddit.com/r/gtmengineering/comments/1vefjx8/seeing_a_lot_of_posts_about_ai_sdrs_for_inbound/"],"claim_count":2,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"2026-08-11-github-copilot-en","url":"/blog/2026-08-11-github-copilot-en/","absolute_url":"https://erpagi.com/blog/2026-08-11-github-copilot-en/","title":"GitHub Copilot Student Discount: Free AI Coding Assistant with the GitHub Student Developer Pack","summary":"GitHub provides GitHub Copilot Student for free to verified students. The Student Developer Pack includes a GitHub Pro account, Codespaces minutes, storage, and more. [General guidance] You can gain hands-on project experience through GitHub Campus Experts and the Community Exchange.","lang":"en","content_type":"pseo","topic_key":"github-copilot","keywords":["github-copilot","GitHub Copilot","학생/비영리 할인 여부","학생","Comparison","Key Benefits of the Student Developer Pack","Eligibility and Application Process"],"published_at":"2026-08-11T05:46:12.697589Z","updated_at":"2026-08-11T05:46:12.697589Z","source_urls":["https://github.com/education/students"],"claim_count":3,"faq_count":3,"section_count":3,"has_evidence":true},{"id":"2026-08-11-github-copilot-ko","url":"/blog/2026-08-11-github-copilot-ko/","absolute_url":"https://erpagi.com/blog/2026-08-11-github-copilot-ko/","title":"GitHub Copilot 학생 할인: GitHub Student Developer Pack으로 무료 제공하는 AI 코딩 도우미","summary":"GitHub는 검증된 학생에게 GitHub Copilot Student을 무료로 제공합니다. 학생 개발자 팩에는 GitHub Pro 계정, Codespaces 시간, 저장소 등이 포함됩니다. [일반 가이드] GitHub Campus Experts 및 Community Exchange를 통해 실무 프로젝트를 경험할 수 있습니다.","lang":"ko","content_type":"pseo","topic_key":"github-copilot","keywords":["github-copilot","GitHub Copilot","학생/비영리 할인 여부","학생","비교표","학생 개발자 팩의 주요 혜택","활용을 위한 자격 및 절차"],"published_at":"2026-08-11T05:44:07.475284Z","updated_at":"2026-08-11T05:44:07.475284Z","source_urls":["https://github.com/education/students"],"claim_count":3,"faq_count":3,"section_count":3,"has_evidence":true},{"id":"i-run-4-ai-coding-agents-at-once-claude-code-cursor-opencode-en","url":"/blog/i-run-4-ai-coding-agents-at-once-claude-code-cursor-opencode-en/","absolute_url":"https://erpagi.com/blog/i-run-4-ai-coding-agents-at-once-claude-code-cursor-opencode-en/","title":"AI Coding Agents Pricing and Usage Analysis","summary":"Cursor offers a free tier with limited agent requests and composer access, while its individual plan costs $20/month. Other agents like Claude Code are not detailed in this pack.","lang":"en","content_type":"ts","topic_key":"I run 4 AI coding agents at once (Claude Code, Cursor, OpenCode ...","keywords":["I run 4 AI coding agents at once (Claude Code, Cursor, OpenCode ...","ERPAGI Original Data — Last 30 Days","Usage Implications","Decision Criteria"],"published_at":"2026-08-11T02:53:41.109Z","updated_at":"2026-08-11T03:08:41.109Z","source_urls":["https://cursor.com/pricing","https://www.reddit.com/r/LLMDevs/comments/1vefdfu/what_is_your_goto_coding_harness_these_days/","https://x.com/EntelligenceAI/article/2079623464043049135","https://www.linkedin.com/posts/dmorais92_10-tips-for-running-four-ai-coding-agents-activity-7487824194798481408-bVEg","https://www.youtube.com/watch?v=5XJNgyLL108","https://www.reddit.com/r/ClaudeCode/comments/1vkl0a7/whats_the_best_ai_coding_agents_that_wont_bleed/","https://x.com/incrypted/article/2080298207330898328","https://www.morphllm.com/best-ai-coding-agents-2026","https://www.youtube.com/watch?v=xJEFjE88wdw","https://www.reddit.com/r/AI_Agents/comments/1uvl9ym/if_you_were_starting_an_ai_project_from_scratch/","https://x.com/JulianGoldieSEO/status/2084695069765095869","https://mightybot.ai/blog/coding-ai-agents-for-accelerating-engineering-workflows/","https://www.youtube.com/watch?v=c4WnIWhnxdk","https://www.reddit.com/r/AI_Agents/comments/1vi7e9b/routing_coding_agent_sessions_across_claude_code/","https://x.com/gippp69/status/2085717437119439342","https://www.firecrawl.dev/blog/best-ai-coding-agents","https://www.youtube.com/watch?v=Rdxo4Drwh10","https://www.reddit.com/r/cursor/comments/1v6y7sd/has_anyone_actually_replaced_claude_as_their_main/","https://x.com/nuux_tv","https://www.codeagentswarm.com/en/guides/claude-code-vs-cursor-vs-codex","https://www.youtube.com/watch?v=1q_exUwzkVg","https://www.reddit.com/r/aiagents/comments/1v96nht/i_run_4_ai_coding_agents_at_once_claude_code/","https://x.com/Sumanth_077/status/2079207813038149772","https://www.instagram.com/reel/DbbIyyaPYId/","https://www.youtube.com/watch?v=zxQKxZqYLjc"],"claim_count":3,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"i-run-4-ai-coding-agents-at-once-claude-code-cursor-opencode-ko","url":"/blog/i-run-4-ai-coding-agents-at-once-claude-code-cursor-opencode-ko/","absolute_url":"https://erpagi.com/blog/i-run-4-ai-coding-agents-at-once-claude-code-cursor-opencode-ko/","title":"AI 코딩 에이전트 운영 시스템 분석","summary":"Cursor는 무료 체험을 제공하지만, 에이전트 요청 횟수에 제한이 있다. 이로 인해 고부하 사용에는 제약이 있을 수 있다. 반면, 개인 이용 요금은 월 20달러이다. 이러한 요금 구조를 고려하면 여러 AI 코딩 에이전트를 동시에 운영하는 전략을 세울 때 각 서비스의 무료 및 유료 정책을 반드시 고려해야 한다.","lang":"ko","content_type":"ts","topic_key":"I run 4 AI coding agents at once (Claude Code, Cursor, OpenCode ...","keywords":["I run 4 AI coding agents at once (Claude Code, Cursor, OpenCode ...","ERPAGI Original Data — 최근 30일 커뮤니티 관찰","사용자 선택 기준","제약 요소 분석","FAQ 답변"],"published_at":"2026-08-11T02:47:41.109Z","updated_at":"2026-08-11T03:08:41.109Z","source_urls":["https://cursor.com/pricing","https://www.reddit.com/r/LLMDevs/comments/1vefdfu/what_is_your_goto_coding_harness_these_days/","https://x.com/EntelligenceAI/article/2079623464043049135","https://www.linkedin.com/posts/dmorais92_10-tips-for-running-four-ai-coding-agents-activity-7487824194798481408-bVEg","https://www.youtube.com/watch?v=5XJNgyLL108","https://www.reddit.com/r/ClaudeCode/comments/1vkl0a7/whats_the_best_ai_coding_agents_that_wont_bleed/","https://x.com/incrypted/article/2080298207330898328","https://www.morphllm.com/best-ai-coding-agents-2026","https://www.youtube.com/watch?v=xJEFjE88wdw","https://www.reddit.com/r/AI_Agents/comments/1uvl9ym/if_you_were_starting_an_ai_project_from_scratch/","https://x.com/JulianGoldieSEO/status/2084695069765095869","https://mightybot.ai/blog/coding-ai-agents-for-accelerating-engineering-workflows/","https://www.youtube.com/watch?v=c4WnIWhnxdk","https://www.reddit.com/r/AI_Agents/comments/1vi7e9b/routing_coding_agent_sessions_across_claude_code/","https://x.com/gippp69/status/2085717437119439342","https://www.firecrawl.dev/blog/best-ai-coding-agents","https://www.youtube.com/watch?v=Rdxo4Drwh10","https://www.reddit.com/r/cursor/comments/1v6y7sd/has_anyone_actually_replaced_claude_as_their_main/","https://x.com/nuux_tv","https://www.codeagentswarm.com/en/guides/claude-code-vs-cursor-vs-codex","https://www.youtube.com/watch?v=1q_exUwzkVg","https://www.reddit.com/r/aiagents/comments/1v96nht/i_run_4_ai_coding_agents_at_once_claude_code/","https://x.com/Sumanth_077/status/2079207813038149772","https://www.instagram.com/reel/DbbIyyaPYId/","https://www.youtube.com/watch?v=zxQKxZqYLjc"],"claim_count":1,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"20-budget-codex-vs-claude-code-vs-cursor-r-githubcopilot-en","url":"/blog/20-budget-codex-vs-claude-code-vs-cursor-r-githubcopilot-en/","absolute_url":"https://erpagi.com/blog/20-budget-codex-vs-claude-code-vs-cursor-r-githubcopilot-en/","title":"20 Budget | Codex vs Claude Code vs Cursor: r/GithubCopilot","summary":"Cursor provides agent-based automation features and a $20/month individual plan, with a free tier that limits agent requests. The free tier of Cursor restricts usage for users requiring high volumes of agent requests due to its limited access to automation features.","lang":"en","content_type":"ts","topic_key":"20 Budget | Codex vs Claude Code vs Cursor : r/GithubCopilot","keywords":["20 Budget | Codex vs Claude Code vs Cursor : r/GithubCopilot","Feature Set","Pricing Structure"],"published_at":"2026-08-10T22:48:07.628Z","updated_at":"2026-08-10T23:09:07.628Z","source_urls":["https://cursor.com/docs","https://cursor.com/pricing"],"claim_count":2,"faq_count":2,"section_count":2,"has_evidence":true},{"id":"20-budget-codex-vs-claude-code-vs-cursor-r-githubcopilot-ko","url":"/blog/20-budget-codex-vs-claude-code-vs-cursor-r-githubcopilot-ko/","absolute_url":"https://erpagi.com/blog/20-budget-codex-vs-claude-code-vs-cursor-r-githubcopilot-ko/","title":"$20 예산 기반 AI 코딩 도구 분석: Cursor의 기능과 요금제 구조","summary":"Cursor는 에이전트 기반 코드베이스 관리 자동화를 제공하며, 월 $20 개인 요금제로 제한 없는 컴포저 접근이 가능합니다.","lang":"ko","content_type":"ts","topic_key":"20 Budget | Codex vs Claude Code vs Cursor : r/GithubCopilot","keywords":["20 Budget | Codex vs Claude Code vs Cursor : r/GithubCopilot","기능 구조와 자동화 수준의 의미","예산 대비 선택 기준","사용 제약과 한계"],"published_at":"2026-08-10T22:26:07.628Z","updated_at":"2026-08-10T23:09:07.628Z","source_urls":["https://cursor.com/docs","https://cursor.com/pricing"],"claim_count":3,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"2026-08-11-github-copilot-vs-1-en","url":"/blog/2026-08-11-github-copilot-vs-1-en/","absolute_url":"https://erpagi.com/blog/2026-08-11-github-copilot-vs-1-en/","title":"GitHub Copilot Annual vs Monthly Billing Discount Rate: What Solo Developers Need to Know","summary":"[General guidance] When comparing plans, please verify each feature and condition separately in the official description for that specific plan. [General guidance] Solo developers should base their cost planning on monthly billing or directly check annual payment details on the vendor's official guide page.","lang":"en","content_type":"pseo","topic_key":"github-copilot-vs-1","keywords":["github-copilot-vs-1","GitHub Copilot","연간 결제 vs 월간 결제 할인율","1인 개발자","Comparison","Overview of GitHub Copilot Plans and Pricing Policy","Selection Criteria and Considerations for Solo Developers","FAQ"],"published_at":"2026-08-10T21:43:30.004760Z","updated_at":"2026-08-10T21:43:30.004760Z","source_urls":["https://github.com/features/copilot/plans"],"claim_count":3,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"2026-08-11-github-copilot-vs-1-ko","url":"/blog/2026-08-11-github-copilot-vs-1-ko/","absolute_url":"https://erpagi.com/blog/2026-08-11-github-copilot-vs-1-ko/","title":"GitHub Copilot 연간 결제 vs 월간 결제 할인율: 1인 개발자가 알아야 할 것","summary":"[일반 가이드] 플랜을 함께 비교할 때는 각 기능과 조건을 해당 플랜의 공식 설명에서 따로 확인하세요. [일반 가이드] 1인 개발자는 월별 요금제를 기준으로 비용 계획을 세우거나, 벤더의 공식 안내 페이지에서 연간 결제 관련 정보를 직접 확인해야 합니다.","lang":"ko","content_type":"pseo","topic_key":"github-copilot-vs-1","keywords":["github-copilot-vs-1","GitHub Copilot","연간 결제 vs 월간 결제 할인율","1인 개발자","비교표","GitHub Copilot 요금제 개요 및 가격 정책","1인 개발자를 위한 선택 기준 및 고려 사항","FAQ"],"published_at":"2026-08-10T21:41:16.625877Z","updated_at":"2026-08-10T21:41:16.625877Z","source_urls":["https://github.com/features/copilot/plans"],"claim_count":3,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"2026-08-10-ollama-1-en","url":"/blog/2026-08-10-ollama-1-en/","absolute_url":"https://erpagi.com/blog/2026-08-10-ollama-1-en/","title":"Hardware Requirements and Model Selection Guide for Running Ollama Locally: A Practical Analysis for Solo Developers","summary":"To run Ollama locally, you must use models in Q4_K_M or Q8_0 format as specified in the official documentation, and model names must follow the 'model:tag' convention. If a loading error occurs, developers should refresh the page or navigate to the latest location of the API documentation. [General guidance] Solo developers should be aware that they can manage model versions via tags, with 'latest' applied by default. Local execution is performed by communicating directly with the API server, which helps reduce cloud dependency.","lang":"en","content_type":"pseo","topic_key":"ollama-1","keywords":["ollama-1","Ollama","로컬/오프라인 실행 시 하드웨어 요구사항","1인 개발자","Comparison","Local Execution Environment Setup and Model Management","API Communication and Loading Error Response Strategies","Practical Operational Tips for Developers"],"published_at":"2026-08-10T12:36:52.360921Z","updated_at":"2026-08-10T12:36:52.360921Z","source_urls":["https://github.com/ollama/ollama/blob/main/docs/api.md"],"claim_count":3,"faq_count":3,"section_count":4,"has_evidence":true},{"id":"2026-08-10-ollama-1-ko","url":"/blog/2026-08-10-ollama-1-ko/","absolute_url":"https://erpagi.com/blog/2026-08-10-ollama-1-ko/","title":"Ollama 로컬 실행 시 하드웨어 요구사항과 모델 선택 가이드: 1인 개발자를 위한 실전 분석","summary":"로컬에서 Ollama를 운영하려면 공식 문서에 명시된 대로 Q4_K_M 또는 Q8_0 포맷의 모델을 사용해야 하며, 모델 이름은 'model:tag' 형식을 따라야 합니다. 개발자는 로딩 에러가 발생하면 페이지를 새로고침하거나 API 문서의 최신 위치로 이동하는 것이 필요합니다. [일반 가이드] 1인 개발자는 모델의 태그를 통해 버전을 관리할 수 있으며, 기본값으로 'latest'가 적용된다는 점을 인지해야 합니다. 로컬 환경에서의 실행은 API 서버와 직접 통신하는 방식으로 이루어지며, 이는 클라우드 의존성을 줄이는 데 도움이 됩니다.","lang":"ko","content_type":"pseo","topic_key":"ollama-1","keywords":["ollama-1","Ollama","로컬/오프라인 실행 시 하드웨어 요구사항","1인 개발자","비교표","로컬 실행 환경 설정 및 모델 관리","API 통신 및 로딩 오류 대응 방안","개발자를 위한 실전 운영 팁"],"published_at":"2026-08-10T12:34:47.308242Z","updated_at":"2026-08-10T12:34:47.308242Z","source_urls":["https://github.com/ollama/ollama/blob/main/docs/api.md"],"claim_count":3,"faq_count":3,"section_count":4,"has_evidence":true},{"id":"how-do-you-go-from-70-to-finished-with-claude-code-reddit-en","url":"/blog/how-do-you-go-from-70-to-finished-with-claude-code-reddit-en/","absolute_url":"https://erpagi.com/blog/how-do-you-go-from-70-to-finished-with-claude-code-reddit-en/","title":"How Claude Code Documentation Supports Feature Discovery","summary":"Claude Code provides a documentation index to help users navigate and discover features efficiently.','kind':'fact','evidence_ids':['clm_documentation_index']}],","lang":"en","content_type":"ts","topic_key":"How do you go from 70% to finished with Claude Code ... - Reddit","keywords":["How do you go from 70% to finished with Claude Code ... - Reddit","Documentation Navigation","Feature Accessibility"],"published_at":"2026-08-10T02:55:47.980Z","updated_at":"2026-08-10T03:14:47.980Z","source_urls":["https://code.claude.com/docs/en/overview"],"claim_count":1,"faq_count":2,"section_count":2,"has_evidence":true},{"id":"how-do-you-go-from-70-to-finished-with-claude-code-reddit-ko","url":"/blog/how-do-you-go-from-70-to-finished-with-claude-code-reddit-ko/","absolute_url":"https://erpagi.com/blog/how-do-you-go-from-70-to-finished-with-claude-code-reddit-ko/","title":"Claude Code 문서 인덱스를 활용한 효율적 탐색 및 완성도 향상 전략","summary":"Claude Code는 /docs/llms.txt 경로에 중앙 집중식 문서 인덱스를 제공하여 사용 가능한 모든 페이지를 사전에 확인할 수 있게 합니다. 이 인덱스는 방대한 기술 자료 속에서 기능을 체계적으로 탐색하고 발견하는 과정을 지원하며, 프로젝트 완성도를 높이는 데 기여합니다.","lang":"ko","content_type":"ts","topic_key":"How do you go from 70% to finished with Claude Code ... - Reddit","keywords":["How do you go from 70% to finished with Claude Code ... - Reddit","사실의 의미","선택 기준","제약 사항"],"published_at":"2026-08-10T02:32:47.980Z","updated_at":"2026-08-10T03:14:47.980Z","source_urls":["https://code.claude.com/docs/en/overview"],"claim_count":2,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"i-feel-bad-for-people-that-don-t-know-how-to-use-claude-code-reddit-en","url":"/blog/i-feel-bad-for-people-that-don-t-know-how-to-use-claude-code-reddit-en/","absolute_url":"https://erpagi.com/blog/i-feel-bad-for-people-that-don-t-know-how-to-use-claude-code-reddit-en/","title":"Technical Analysis of Claude Code Documentation Structure","summary":"The Claude Code documentation is structured around a centralized index to improve discoverability and accessibility for users.","lang":"en","content_type":"ts","topic_key":"I feel bad for people that don't know how to use Claude Code - Reddit","keywords":["I feel bad for people that don't know how to use Claude Code - Reddit","Documentation Discoverability","User Experience Implications"],"published_at":"2026-08-09T22:40:25.692Z","updated_at":"2026-08-09T23:11:25.692Z","source_urls":["https://code.claude.com/docs/en/overview"],"claim_count":2,"faq_count":2,"section_count":2,"has_evidence":true},{"id":"i-feel-bad-for-people-that-don-t-know-how-to-use-claude-code-reddit-ko","url":"/blog/i-feel-bad-for-people-that-don-t-know-how-to-use-claude-code-reddit-ko/","absolute_url":"https://erpagi.com/blog/i-feel-bad-for-people-that-don-t-know-how-to-use-claude-code-reddit-ko/","title":"Claude Code 문서화 구조 분석","summary":"Claude Code의 문서는 사용자가 모든 페이지를 탐색하기 전에 중앙 집중식 인덱스 파일을 활용할 것을 권장한다. 이는 접근성과 효율성을 높이는 중요한 기능이다. 문서화 구조는 사용자에게 명확한 안내를 제공하며, 특정 페이지로 직접 들어가기 전에 전체 범위를 파악하도록 돕는다.","lang":"ko","content_type":"ts","topic_key":"I feel bad for people that don't know how to use Claude Code - Reddit","keywords":["I feel bad for people that don't know how to use Claude Code - Reddit","문서화의 의미","사용자 선택 기준","제약과 한계","FAQ"],"published_at":"2026-08-09T22:38:25.692Z","updated_at":"2026-08-09T23:11:25.692Z","source_urls":["https://code.claude.com/docs/en/overview"],"claim_count":2,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"2026-08-10-devin-desktop-formerly-windsurf-seat-en","url":"/blog/2026-08-10-devin-desktop-formerly-windsurf-seat-en/","absolute_url":"https://erpagi.com/blog/2026-08-10-devin-desktop-formerly-windsurf-seat-en/","title":"Devin Desktop Team Pricing Per Seat: What Agencies/Freelance Teams Need to Know","summary":"[General guidance] For the latest pricing and feature conditions for this item, please check the official page separately. [General guidance] Verify whether the feature is listed for the plan in the official description before deciding.","lang":"en","content_type":"pseo","topic_key":"devin-desktop-formerly-windsurf-seat","keywords":["devin-desktop-formerly-windsurf-seat","Devin Desktop (formerly Windsurf)","팀 요금제 좌석(seat)당 가격","에이전시/외주팀","Comparison","Basic Structure of the Devin Teams Plan","Unlimited Team Member Participation & Collaboration Features"],"published_at":"2026-08-09T21:33:00.346276Z","updated_at":"2026-08-09T21:33:00.346276Z","source_urls":["https://devin.ai/pricing"],"claim_count":3,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"2026-08-10-devin-desktop-formerly-windsurf-seat-ko","url":"/blog/2026-08-10-devin-desktop-formerly-windsurf-seat-ko/","absolute_url":"https://erpagi.com/blog/2026-08-10-devin-desktop-formerly-windsurf-seat-ko/","title":"Devin Desktop 팀 요금제 좌석당 가격: 에이전시/외주팀이 알아야 할 것","summary":"[일반 가이드] 이 항목의 최신 요금과 기능 조건은 공식 페이지에서 별도로 확인하세요. [일반 가이드] 팀 구성원 중 일부만 Devin Desktop을 자주 사용하는 경우, 나머지 인원은 무제한 플렉스 좌석으로 참여할 수 있습니다.","lang":"ko","content_type":"pseo","topic_key":"devin-desktop-formerly-windsurf-seat","keywords":["devin-desktop-formerly-windsurf-seat","Devin Desktop (formerly Windsurf)","팀 요금제 좌석(seat)당 가격","에이전시/외주팀","비교표","Devin Teams 요금제의 기본 구조","무제한 팀원 참여 및 협업 기능"],"published_at":"2026-08-09T21:30:46.808202Z","updated_at":"2026-08-09T21:30:46.808202Z","source_urls":["https://devin.ai/pricing"],"claim_count":3,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"2026-08-09-github-copilot-5-en","url":"/blog/2026-08-09-github-copilot-5-en/","absolute_url":"https://erpagi.com/blog/2026-08-09-github-copilot-5-en/","title":"GitHub Copilot Free Tier Usage Limits: What Startups with 5 or Fewer Employees Need to Know","summary":"The GitHub Copilot Free plan provides access to 2,000 code completions per month and specific models like Haiku 4.5. [General guidance] Verify feature availability in each plan's official documentation before making a selection.","lang":"en","content_type":"pseo","topic_key":"github-copilot-5","keywords":["github-copilot-5","GitHub Copilot","무료 티어 사용량 제한","5인 이하 스타트업","Comparison","Core Features and Limitations of the Free Tier","Plan Comparison and Selection Guide for Startups"],"published_at":"2026-08-09T12:33:26.645641Z","updated_at":"2026-08-09T12:33:26.645641Z","source_urls":["https://github.com/features/copilot/plans"],"claim_count":3,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"2026-08-09-github-copilot-5-ko","url":"/blog/2026-08-09-github-copilot-5-ko/","absolute_url":"https://erpagi.com/blog/2026-08-09-github-copilot-5-ko/","title":"GitHub Copilot 무료 티어 사용량 제한: 5인 이하 스타트업이 알아야 할 것","summary":"GitHub Copilot의 Free 요금제는 월 2,000회 코드 완성(Completions)과 Haiku 4.5 등 특정 모델에 대한 접근을 제공합니다. [일반 가이드] 기능 제공 여부는 각 플랜의 공식 설명에서 확인한 뒤 선택하세요.","lang":"ko","content_type":"pseo","topic_key":"github-copilot-5","keywords":["github-copilot-5","GitHub Copilot","무료 티어 사용량 제한","5인 이하 스타트업","비교표","무료 티어의 핵심 기능과 한계","스타트업을 위한 요금제 비교 및 선택 가이드"],"published_at":"2026-08-09T12:30:39.801649Z","updated_at":"2026-08-09T12:30:39.801649Z","source_urls":["https://github.com/features/copilot/plans"],"claim_count":3,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"intro-to-notebooklm-featured-tutorial-id-90-notebooklm-introduced-its-hands-on-tutorial-notebook-ko","url":"/blog/intro-to-notebooklm-featured-tutorial-id-90-notebooklm-introduced-its-hands-on-tutorial-notebook-ko/","absolute_url":"https://erpagi.com/blog/intro-to-notebooklm-featured-tutorial-id-90-notebooklm-introduced-its-hands-on-tutorial-notebook-ko/","title":"NotebookLM 소개 튜토리얼 분석","summary":"NotebookLM은 사용자가 자신의 문서를 기반으로 빠르게 인사이트를 얻을 수 있도록 설계되었습니다. 이는 AI 중심의 노트북으로, 사용자의 데이터에 기반한 분석을 지원합니다. 또한, NotebookLM 환경 내에서 새로운 소스를 추가하거나 발견하여 기능을 향상시킬 수 있습니다.","lang":"ko","content_type":"ts","topic_key":"Intro to NotebookLM Featured Tutorial (ID 90). NotebookLM introduced its hands-on tutorial notebook","keywords":["Intro to NotebookLM Featured Tutorial (ID 90). 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This AI-first environment supports source integration for enhanced capabilities.","lang":"en","content_type":"ts","topic_key":"Intro to NotebookLM Featured Tutorial (ID 90). NotebookLM introduced its hands-on tutorial notebook","keywords":["Intro to NotebookLM Featured Tutorial (ID 90). NotebookLM introduced its hands-on tutorial notebook","Capabilities and Functionality","User Interaction Model","Design Principles","Limitations and Considerations"],"published_at":"2026-08-09T08:33:18.714Z","updated_at":"2026-08-09T09:10:18.714Z","source_urls":["https://blog.google/innovation-and-ai/technology/ai/notebooklm-google-ai/","https://support.google.com/gemininotebook/answer/16215270?hl=en"],"claim_count":2,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"cursor-official-codebase-indexing-workflow-for-a-small-development-team-en","url":"/blog/cursor-official-codebase-indexing-workflow-for-a-small-development-team-en/","absolute_url":"https://erpagi.com/blog/cursor-official-codebase-indexing-workflow-for-a-small-development-team-en/","title":"Cursor Official Codebase Indexing Workflow for a Small Development Team","summary":"The Cursor platform offers a free 'Hobby' tier with limited agent requests and access to the composer, suitable for small teams or individual use. For paid usage, the Individual plan is priced at $20 per month, providing full access to Cursor's features without limitations.","lang":"en","content_type":"ts","topic_key":"Cursor official codebase indexing workflow for a small development team","keywords":["Cursor official codebase indexing workflow for a small development team","Implications for Small Teams","Decision Criteria Based on Usage","Limitations of the Free Tier"],"published_at":"2026-08-09T02:47:48.257Z","updated_at":"2026-08-09T03:09:48.257Z","source_urls":["https://cursor.com/pricing"],"claim_count":2,"faq_count":3,"section_count":3,"has_evidence":true},{"id":"cursor-official-codebase-indexing-workflow-for-a-small-development-team-ko","url":"/blog/cursor-official-codebase-indexing-workflow-for-a-small-development-team-ko/","absolute_url":"https://erpagi.com/blog/cursor-official-codebase-indexing-workflow-for-a-small-development-team-ko/","title":"Cursor 공식 코드베이스 인덱싱 워크플로우: 소규모 개발 팀을 위한 가이드","summary":"Cursor는 'Hobby'라는 무료 계층을 제공하며, 이 계층은 제한된 에이전트 요청과 컴포저 접근 권한을 포함합니다. 이는 소규모 개발팀에게 적합한 시작점입니다. 유료 플랜인 Individual은 월 20달러로 제공되며, 무료 계층의 제약사항을 해소할 수 있습니다.","lang":"ko","content_type":"ts","topic_key":"Cursor official codebase indexing workflow for a small development team","keywords":["Cursor official codebase indexing workflow for a small development team","Cursor의 무료 및 유료 요금제","소규모 개발팀을 위한 선택 기준","제한 사항과 확장성 고려사항"],"published_at":"2026-08-09T02:30:48.257Z","updated_at":"2026-08-09T03:09:48.257Z","source_urls":["https://cursor.com/pricing"],"claim_count":1,"faq_count":3,"section_count":3,"has_evidence":true},{"id":"notebooklm-google-antigravity-can-now-automate-hours-of-research-and-content-work-for-free-use-th-ko","url":"/blog/notebooklm-google-antigravity-can-now-automate-hours-of-research-and-content-work-for-free-use-th-ko/","absolute_url":"https://erpagi.com/blog/notebooklm-google-antigravity-can-now-automate-hours-of-research-and-content-work-for-free-use-th-ko/","title":"NotebookLM 및 Gemini Notebook의 문서 기반 AI 분석 기술 고찰","summary":"NotebookLM은 자체 문서를 기반으로 한 AI 통합을 통해 사용자가 더 빠르게 통찰력을 얻도록 설계되었습니다. Gemini Notebook은 계산용 노트북에 새로운 소스를 추가하거나 발견할 수 있는 기능을 제공합니다.","lang":"ko","content_type":"ts","topic_key":"NotebookLM + Google Antigravity can now automate hours of research and content work for free. Use th","keywords":["NotebookLM + Google Antigravity can now automate hours of research and content work for free. Use th","사실의 의미","선택 기준","제약 사항"],"published_at":"2026-08-08T23:07:37.958Z","updated_at":"2026-08-08T23:21:37.958Z","source_urls":["https://blog.google/innovation-and-ai/technology/ai/notebooklm-google-ai/","https://support.google.com/gemininotebook/answer/16215270?hl=en"],"claim_count":2,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"notebooklm-google-antigravity-can-now-automate-hours-of-research-and-content-work-for-free-use-th-en","url":"/blog/notebooklm-google-antigravity-can-now-automate-hours-of-research-and-content-work-for-free-use-th-en/","absolute_url":"https://erpagi.com/blog/notebooklm-google-antigravity-can-now-automate-hours-of-research-and-content-work-for-free-use-th-en/","title":"NotebookLM + Google Antigravity Automation","summary":"NotebookLM and Gemini Notebook enable automated research and content work through AI integration with user documents, offering faster insights.","lang":"en","content_type":"ts","topic_key":"NotebookLM + Google Antigravity can now automate hours of research and content work for free. Use th","keywords":["NotebookLM + Google Antigravity can now automate hours of research and content work for free. Use th","Automation Capabilities","Decision Criteria","Limitations"],"published_at":"2026-08-08T23:05:37.958Z","updated_at":"2026-08-08T23:21:37.958Z","source_urls":["https://blog.google/innovation-and-ai/technology/ai/notebooklm-google-ai/","https://support.google.com/gemininotebook/answer/16215270?hl=en"],"claim_count":2,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"2026-08-09-github-copilot-seat-1-en","url":"/blog/2026-08-09-github-copilot-seat-1-en/","absolute_url":"https://erpagi.com/blog/2026-08-09-github-copilot-seat-1-en/","title":"GitHub Copilot Team Pricing Per Seat: What Solo Developers Need to Know","summary":"[General guidance] When comparing plans side-by-side, verify each feature and condition in the official documentation for that specific plan. [General guidance] Verify whether the feature is listed for the plan in the official description before deciding.","lang":"en","content_type":"pseo","topic_key":"github-copilot-seat-1","keywords":["github-copilot-seat-1","GitHub Copilot","팀 요금제 좌석(seat)당 가격","1인 개발자","Comparison","GitHub Copilot Plan Comparison: Pro, Pro+, Max","Selection Guide for Solo Developers"],"published_at":"2026-08-08T21:33:02.813809Z","updated_at":"2026-08-08T21:33:02.813809Z","source_urls":["https://github.com/features/copilot/plans"],"claim_count":3,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"2026-08-09-github-copilot-seat-1-ko","url":"/blog/2026-08-09-github-copilot-seat-1-ko/","absolute_url":"https://erpagi.com/blog/2026-08-09-github-copilot-seat-1-ko/","title":"GitHub Copilot 팀 요금제 좌석당 가격: 1인 개발자가 알아야 할 것","summary":"[일반 가이드] 플랜을 함께 비교할 때는 각 기능과 조건을 해당 플랜의 공식 설명에서 따로 확인하세요. [일반 가이드] 1인 개발자는 팀 환경이나 조직 관리 기능이 필요하지 않을 수 있으므로, 개인용 요금제와 팀 요금제의 차이를 고려해야 합니다.","lang":"ko","content_type":"pseo","topic_key":"github-copilot-seat-1","keywords":["github-copilot-seat-1","GitHub Copilot","팀 요금제 좌석(seat)당 가격","1인 개발자","비교표","GitHub Copilot 요금제 비교: Pro, Pro+, Max","1인 개발자를 위한 선택 가이드"],"published_at":"2026-08-08T21:30:52.280782Z","updated_at":"2026-08-08T21:30:52.280782Z","source_urls":["https://github.com/features/copilot/plans"],"claim_count":3,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"i-feel-bad-for-people-that-don-t-know-how-to-use-claude-code-en","url":"/blog/i-feel-bad-for-people-that-don-t-know-how-to-use-claude-code-en/","absolute_url":"https://erpagi.com/blog/i-feel-bad-for-people-that-don-t-know-how-to-use-claude-code-en/","title":"Claude Code Documentation and Usage Guidance","summary":"Users are encouraged to explore the documentation index before diving into specific pages, as it provides a complete overview of available resources.","lang":"en","content_type":"ts","topic_key":"I feel bad for people that don't know how to use Claude Code","keywords":["I feel bad for people that don't know how to use Claude Code","Documentation Access and Exploration","User Guidance and Resource Discovery","Decision Criteria and Limitations"],"published_at":"2026-08-08T14:48:54.632Z","updated_at":"2026-08-08T15:26:54.632Z","source_urls":["https://code.claude.com/docs/en/overview"],"claim_count":1,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"i-feel-bad-for-people-that-don-t-know-how-to-use-claude-code-ko","url":"/blog/i-feel-bad-for-people-that-don-t-know-how-to-use-claude-code-ko/","absolute_url":"https://erpagi.com/blog/i-feel-bad-for-people-that-don-t-know-how-to-use-claude-code-ko/","title":"Claude Code 사용법에 대한 기술 분석","summary":"Claude Code의 문서 인덱스는 /docs/llms.txt 파일에서 확인할 수 있으며, 이 파일은 전체 문서 페이지를 탐색하기 위한 안내서로 활용된다. 사용자는 특정 페이지에 들어가기 전에 먼저 이 인덱스를 살펴보는 것을 권장한다.","lang":"ko","content_type":"ts","topic_key":"I feel bad for people that don't know how to use Claude Code","keywords":["I feel bad for people that don't know how to use Claude Code","문서 인덱스의 의미와 활용법","사용자 선택 기준과 접근 방식","제약과 활용 제안"],"published_at":"2026-08-08T14:42:54.632Z","updated_at":"2026-08-08T15:26:54.632Z","source_urls":["https://code.claude.com/docs/en/overview"],"claim_count":1,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"2026-08-08-devin-desktop-formerly-windsurf-seat-5-en","url":"/blog/2026-08-08-devin-desktop-formerly-windsurf-seat-5-en/","absolute_url":"https://erpagi.com/blog/2026-08-08-devin-desktop-formerly-windsurf-seat-5-en/","title":"Devin Desktop Teams Pricing Per Seat: Cost Comparison for Startups with 5 or Fewer Members","summary":"[General guidance] Please check the official page separately for the latest pricing and feature conditions. [General guidance] Verify which features are included in each plan's official description before making a selection.","lang":"en","content_type":"pseo","topic_key":"devin-desktop-formerly-windsurf-seat-5","keywords":["devin-desktop-formerly-windsurf-seat-5","Devin Desktop (formerly Windsurf)","팀 요금제 좌석(seat)당 가격","5인 이하 스타트업","Comparison","Structure and Base Cost of the Teams Plan","Cost Comparison Analysis for Startups with 5 or Fewer Members","When the Teams Plan is Suitable and Considerations"],"published_at":"2026-08-08T14:41:31.924833Z","updated_at":"2026-08-08T14:41:31.924833Z","source_urls":["https://devin.ai/pricing"],"claim_count":3,"faq_count":3,"section_count":4,"has_evidence":true},{"id":"2026-08-08-devin-desktop-formerly-windsurf-seat-5-ko","url":"/blog/2026-08-08-devin-desktop-formerly-windsurf-seat-5-ko/","absolute_url":"https://erpagi.com/blog/2026-08-08-devin-desktop-formerly-windsurf-seat-5-ko/","title":"Devin Desktop Teams 좌석당 요금 비교: 5인 이하 스타트업 비용 가이드","summary":"[일반 가이드] 이 항목의 최신 요금과 기능 조건은 공식 페이지에서 별도로 확인하세요. [일반 가이드] 기능 제공 여부는 각 플랜의 공식 설명에서 확인한 뒤 선택하세요.","lang":"ko","content_type":"pseo","topic_key":"devin-desktop-formerly-windsurf-seat-5","keywords":["devin-desktop-formerly-windsurf-seat-5","Devin Desktop (formerly Windsurf)","팀 요금제 좌석(seat)당 가격","5인 이하 스타트업","비교표","Teams 요금제의 구조와 기본 비용","5인 이하 스타트업의 비용 비교 분석","Teams 요금제가 적합한 경우와 고려 사항"],"published_at":"2026-08-08T14:39:26.548110Z","updated_at":"2026-08-08T14:39:26.548110Z","source_urls":["https://devin.ai/pricing"],"claim_count":3,"faq_count":3,"section_count":4,"has_evidence":true},{"id":"2026-08-08-devin-desktop-formerly-windsurf-5-en","url":"/blog/2026-08-08-devin-desktop-formerly-windsurf-5-en/","absolute_url":"https://erpagi.com/blog/2026-08-08-devin-desktop-formerly-windsurf-5-en/","title":"Devin Desktop Free-Tier Limits: A Guide for Startups with 5 or Fewer Members","summary":"[General guidance] Verify feature availability in each plan's official description before making a selection. [General guidance] For startups with 5 or fewer members, starting with a single developer's Pro plan and scaling to the Teams plan as needed is typically the most cost-effective strategy.","lang":"en","content_type":"pseo","topic_key":"devin-desktop-formerly-windsurf-5","keywords":["devin-desktop-formerly-windsurf-5","Devin Desktop (formerly Windsurf)","무료 티어 사용량 제한","5인 이하 스타트업","Comparison","Key Differences Between Devin's Free Tier and Pro Plan","The Value of the Teams Plan for Startups with 5 or Fewer Members","How to Efficiently Manage Devin Usage Limits"],"published_at":"2026-08-08T12:33:51.098389Z","updated_at":"2026-08-08T12:33:51.098389Z","source_urls":["https://devin.ai/pricing"],"claim_count":3,"faq_count":3,"section_count":4,"has_evidence":true},{"id":"2026-08-08-devin-desktop-formerly-windsurf-5-ko","url":"/blog/2026-08-08-devin-desktop-formerly-windsurf-5-ko/","absolute_url":"https://erpagi.com/blog/2026-08-08-devin-desktop-formerly-windsurf-5-ko/","title":"Devin Desktop 무료 티어 사용량 제한: 5인 이하 스타트업 가이드","summary":"[일반 가이드] 기능 제공 여부는 각 플랜의 공식 설명에서 확인한 뒤 선택하세요. [일반 가이드] 5인 이하 스타트업의 경우, 단일 개발자의 Pro 요금제부터 시작해 필요에 따라 Teams 플랜으로 확장하는 것이 일반적인 비용 효율적인 전략입니다.","lang":"ko","content_type":"pseo","topic_key":"devin-desktop-formerly-windsurf-5","keywords":["devin-desktop-formerly-windsurf-5","Devin Desktop (formerly Windsurf)","무료 티어 사용량 제한","5인 이하 스타트업","비교표","Devin 무료 티어와 Pro 플랜의 핵심 차이","5인 이하 스타트업에게 적합한 Teams 플랜의 가치","Devin 사용량 제한을 효율적으로 관리하는 방법"],"published_at":"2026-08-08T12:31:05.591651Z","updated_at":"2026-08-08T12:31:05.591651Z","source_urls":["https://devin.ai/pricing"],"claim_count":3,"faq_count":3,"section_count":4,"has_evidence":true},{"id":"introducing-short-video-overviews-in-notebooklm-turn-your-most-complex-sources-into-60-second-vert-en","url":"/blog/introducing-short-video-overviews-in-notebooklm-turn-your-most-complex-sources-into-60-second-vert-en/","absolute_url":"https://erpagi.com/blog/introducing-short-video-overviews-in-notebooklm-turn-your-most-complex-sources-into-60-second-vert-en/","title":"Introducing Short Video Overviews in NotebookLM!","summary":"NotebookLM is an experimental AI-first notebook designed to help users gain insights faster from their documents, integrating AI capabilities for enhanced research. Gemini Notebook allows users to add or discover new sources for their research and projects, supporting expanded knowledge building.","lang":"en","content_type":"ts","topic_key":"Introducing Short Video Overviews in NotebookLM! Turn your most complex sources into 60-second, vert","keywords":["Introducing Short Video Overviews in NotebookLM! 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Gemini Notebook을 통해 연구 및 프로젝트에 새로운 출처를 추가하거나 발견할 수 있으며, 이는 문서 기반 분석의 확장성과 유연성을 보여줍니다.","lang":"ko","content_type":"ts","topic_key":"Introducing Short Video Overviews in NotebookLM! Turn your most complex sources into 60-second, vert","keywords":["Introducing Short Video Overviews in NotebookLM! 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pages.","lang":"en","content_type":"ts","topic_key":"How do you go from 70% to finished with Claude Code? ...","keywords":["How do you go from 70% to finished with Claude Code? ...","Discovery Workflow","Implications for Navigation"],"published_at":"2026-08-07T22:25:04.607Z","updated_at":"2026-08-07T22:44:04.607Z","source_urls":["https://code.claude.com/docs/en/overview","https://code.claude.com/docs/en/settings"],"claim_count":2,"faq_count":2,"section_count":2,"has_evidence":true},{"id":"claude-code-official-permissions-and-settings-workflow-for-a-solo-developer-en","url":"/blog/claude-code-official-permissions-and-settings-workflow-for-a-solo-developer-en/","absolute_url":"https://erpagi.com/blog/claude-code-official-permissions-and-settings-workflow-for-a-solo-developer-en/","title":"Claude Code Official Permissions and Settings Workflow for a Solo Developer","summary":"The official documentation instructs users to fetch the complete documentation index at: /docs/llms.txt. This is the primary method for accessing Claude Code's documentation.","lang":"en","content_type":"ts","topic_key":"Claude Code official permissions and settings workflow for a solo developer","keywords":["Claude Code official permissions and settings workflow for a solo developer","Documentation Access and Workflow","Limitations in System Requirements"],"published_at":"2026-08-07T22:23:56.119Z","updated_at":"2026-08-07T22:43:56.119Z","source_urls":["https://code.claude.com/docs/en/overview","https://code.claude.com/docs/en/settings"],"claim_count":1,"faq_count":2,"section_count":2,"has_evidence":true},{"id":"claude-code-official-permissions-and-settings-workflow-for-a-solo-developer-ko","url":"/blog/claude-code-official-permissions-and-settings-workflow-for-a-solo-developer-ko/","absolute_url":"https://erpagi.com/blog/claude-code-official-permissions-and-settings-workflow-for-a-solo-developer-ko/","title":"Claude Code 공식 권한 및 설정 워크플로우: 개발자용","summary":"Claude Code의 공식 문서는 사용자가 전체 문서 인덱스를 가져오는 방법을 안내하고 있습니다. 이 인덱스는 /docs/llms.txt 경로에 위치합니다. 다만, 운영 체제나 시스템 요구 사양은 명시되어 있지 않습니다.","lang":"ko","content_type":"ts","topic_key":"Claude Code official permissions and settings workflow for a solo developer","keywords":["Claude Code official permissions and settings workflow for a solo developer","문서 인덱스 접근 방법","제한 사항 및 정보 부족","결론 및 권장 사항","FAQ"],"published_at":"2026-08-07T22:22:56.119Z","updated_at":"2026-08-07T22:43:56.119Z","source_urls":["https://code.claude.com/docs/en/overview","https://code.claude.com/docs/en/settings"],"claim_count":2,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"2026-08-08-github-copilot-1-en","url":"/blog/2026-08-08-github-copilot-1-en/","absolute_url":"https://erpagi.com/blog/2026-08-08-github-copilot-1-en/","title":"GitHub Copilot Free Tier Usage Limits: What Solo Developers Need to Know","summary":"The GitHub Copilot Free plan provides 2,000 code completions per month and grants access to specific models like Haiku 4.5. [General guidance] Verify feature availability in each plan's official documentation before making a choice.","lang":"en","content_type":"pseo","topic_key":"github-copilot-1","keywords":["github-copilot-1","GitHub Copilot","무료 티어 사용량 제한","1인 개발자","Comparison","Key Limitations of the Free Tier","Considerations When Upgrading to a Paid Plan"],"published_at":"2026-08-07T22:21:19.266879Z","updated_at":"2026-08-07T22:21:19.266879Z","source_urls":["https://github.com/features/copilot/plans"],"claim_count":2,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"2026-08-08-github-copilot-1-ko","url":"/blog/2026-08-08-github-copilot-1-ko/","absolute_url":"https://erpagi.com/blog/2026-08-08-github-copilot-1-ko/","title":"GitHub Copilot 무료 티어 사용량 제한: 1인 개발자가 알아야 할 것","summary":"GitHub Copilot Free 플랜은 월간 2,000회의 코드 완성(completions)을 제공하며, Haiku 4.5 등 특정 모델에 접근할 수 있습니다. [일반 가이드] 기능 제공 여부는 각 플랜의 공식 설명에서 확인한 뒤 선택하세요.","lang":"ko","content_type":"pseo","topic_key":"github-copilot-1","keywords":["github-copilot-1","GitHub Copilot","무료 티어 사용량 제한","1인 개발자","비교표","무료 티어의 핵심 제한 사항","유료 플랜으로의 전환 시 고려 사항"],"published_at":"2026-08-07T22:18:58.094559Z","updated_at":"2026-08-07T22:18:58.094559Z","source_urls":["https://github.com/features/copilot/plans"],"claim_count":2,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"how-do-you-go-from-70-to-finished-with-claude-code-ko","url":"/blog/how-do-you-go-from-70-to-finished-with-claude-code-ko/","absolute_url":"https://erpagi.com/blog/how-do-you-go-from-70-to-finished-with-claude-code-ko/","title":"Claude Code 문서 탐색 흐름 분석","summary":"Claude Code의 공식 문서 구조는 /docs/llms.txt 파일을 먼저 가져와야 전체 페이지를 확인할 수 있습니다. 이 파일은 문서 탐색의 중앙 인덱스로 작동합니다. 따라서 개별 문서 페이지에 직접 접근하는 것은 제한됩니다.","lang":"ko","content_type":"ts","topic_key":"How do you go from 70% to finished with Claude Code? ...","keywords":["How do you go from 70% to finished with Claude Code? ...","문서 탐색의 의미","문서 탐색 선택 기준","제약 사항"],"published_at":"2026-08-07T22:15:04.607Z","updated_at":"2026-08-07T22:44:04.607Z","source_urls":["https://code.claude.com/docs/en/overview","https://code.claude.com/docs/en/settings"],"claim_count":1,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"this-is-a-step-by-step-guide-to-building-a-research-workflow-using-claude-code-notebooklm-and-obsi-en","url":"/blog/this-is-a-step-by-step-guide-to-building-a-research-workflow-using-claude-code-notebooklm-and-obsi-en/","absolute_url":"https://erpagi.com/blog/this-is-a-step-by-step-guide-to-building-a-research-workflow-using-claude-code-notebooklm-and-obsi-en/","title":"Building a Research Workflow with Claude Code, NotebookLM, and Obsi","summary":"Google Gemini Notebook offers tools for generating audio overviews, video summaries, flashcards, and quizzes to support research workflows. Claude Code provides a documentation index that allows users to discover available pages for configuration and use in research tasks.","lang":"en","content_type":"ts","topic_key":"This is a step-by-step guide to building a research workflow using Claude Code, NotebookLM, and Obsi","keywords":["This is a step-by-step guide to building a research workflow using Claude Code, NotebookLM, and Obsi","Integration and Accessibility","Research Workflow Tools","Limitations and 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사항"],"published_at":"2026-08-05T03:04:37.065Z","updated_at":"2026-08-05T03:27:37.065Z","source_urls":["https://ml-explore.github.io/mlx/build/html/index.html","https://github.com/ggml-org/llama.cpp"],"claim_count":2,"faq_count":2,"section_count":2,"has_evidence":true},{"id":"kimi-k3-released-on-web-and-app-r-localllama-en","url":"/blog/kimi-k3-released-on-web-and-app-r-localllama-en/","absolute_url":"https://erpagi.com/blog/kimi-k3-released-on-web-and-app-r-localllama-en/","title":"Kimi K3 Release Analysis","summary":"The Kimi K3 release introduces performance enhancements through mlx 0.32.0 and llama.cpp quantization support, enabling faster inference on resource-constrained devices.","lang":"en","content_type":"ts","topic_key":"Kimi K3 released on web and app : r/LocalLLaMA","keywords":["Kimi K3 released on web and app : r/LocalLLaMA","Performance Implications","Decision Criteria","Technical Limits"],"published_at":"2026-08-05T02:54:37.065Z","updated_at":"2026-08-05T03:27:37.065Z","source_urls":["https://ml-explore.github.io/mlx/build/html/index.html","https://github.com/ggml-org/llama.cpp"],"claim_count":2,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"i-would-like-to-have-a-strong-local-ollama-with-tooling-alike-en","url":"/blog/i-would-like-to-have-a-strong-local-ollama-with-tooling-alike-en/","absolute_url":"https://erpagi.com/blog/i-would-like-to-have-a-strong-local-ollama-with-tooling-alike-en/","title":"Technical Analysis of Local Ollama with Tooling","summary":"The MLX framework version 0.32.0 is currently available for use on Apple Silicon devices, supporting local model inference.","lang":"en","content_type":"ts","topic_key":"I would like to have a strong local ollama with tooling alike ...","keywords":["I would like to have a strong local ollama with tooling alike ...","Implications for Local Inference","Decision Criteria for Model Selection","Technical Constraints and Limitations"],"published_at":"2026-08-04T22:55:03.143Z","updated_at":"2026-08-04T23:32:03.143Z","source_urls":["https://ml-explore.github.io/mlx/build/html/index.html","https://github.com/ggml-org/llama.cpp"],"claim_count":1,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"i-would-like-to-have-a-strong-local-ollama-with-tooling-alike-ko","url":"/blog/i-would-like-to-have-a-strong-local-ollama-with-tooling-alike-ko/","absolute_url":"https://erpagi.com/blog/i-would-like-to-have-a-strong-local-ollama-with-tooling-alike-ko/","title":"Apple Silicon에서의 MLX 기반 로컬 LLM 실행 제약","summary":"MLX 버전은 0.32.0이며, 이는 Apple Silicon 장치에서 모델을 실행하는 데 사용됩니다. 이 버전 문서는 공식 MLX 사이트에서 확인할 수 있습니다. 또한, VRAM 용량보다 큰 모델은 단일 GPU 제약으로 인해 전체적으로 로드될 수 없습니다.","lang":"ko","content_type":"ts","topic_key":"I would like to have a strong local ollama with tooling alike ...","keywords":["I would like to have a strong local ollama with tooling alike ...","MLX 버전과 호환성","VRAM 제약과 실행 가능성","선택 기준과 제약 사항","결론 및 권장 사항"],"published_at":"2026-08-04T22:53:03.143Z","updated_at":"2026-08-04T23:32:03.143Z","source_urls":["https://ml-explore.github.io/mlx/build/html/index.html","https://github.com/ggml-org/llama.cpp"],"claim_count":2,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"skillhub-manage-skills-across-claude-codex-cursor-etc-ko","url":"/blog/skillhub-manage-skills-across-claude-codex-cursor-etc-ko/","absolute_url":"https://erpagi.com/blog/skillhub-manage-skills-across-claude-codex-cursor-etc-ko/","title":"Skillhub: Claude, Codex, Cursor 등에서 스킬 관리","summary":"Cursor는 무료 및 유료 요금제를 제공하며, 무료 이용 시 에이전트 요청 제한과 Composer 툴 접근이 포함됩니다. 유료 요금제는 월 20달러입니다. Claude Code의 문서에서는 설정 및 권한 관리에 중점을 두고 있습니다.","lang":"ko","content_type":"ts","topic_key":"Skillhub, Manage Skills across Claude, Codex, Cursor, Etc","keywords":["Skillhub, Manage Skills across Claude, Codex, Cursor, Etc","스킬 관리 도구의 기능과 제약","사용자 선택 시 고려사항","기술적 제약 요약","FAQ"],"published_at":"2026-08-04T02:14:25.483Z","updated_at":"2026-08-04T02:35:25.483Z","source_urls":["https://cursor.com/pricing","https://code.claude.com/docs/en/settings"],"claim_count":2,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"2026-08-04-cursor-ai-sso-1-en","url":"/blog/2026-08-04-cursor-ai-sso-1-en/","absolute_url":"https://erpagi.com/blog/2026-08-04-cursor-ai-sso-1-en/","title":"Cursor AI Enterprise SSO and Security Certification Support: What Solo Developers Need to Know","summary":"The Cursor Teams Premium plan officially supports SAML/OIDC SSO. This is a core feature that enables centralized authentication for your organization. [General guidance] Check the latest guidance on the official page and compare options based on your project scale before proceeding. [General guidance] If you are a solo developer using Solo, you cannot set up SSO directly and must switch to a team account. This decision can increase costs and management overhead.","lang":"en","content_type":"pseo","topic_key":"cursor-ai-sso-1","keywords":["cursor-ai-sso-1","Cursor AI","엔터프라이즈 SSO 및 보안 인증 지원","1인 개발자","Comparison","Plan-by-Plan Availability of SSO and Security Features","Security and Authentication Selection Guide for Solo Developers"],"published_at":"2026-08-04T02:05:13.774502Z","updated_at":"2026-08-04T02:05:13.774502Z","source_urls":["https://cursor.com/pricing"],"claim_count":3,"faq_count":3,"section_count":3,"has_evidence":true},{"id":"2026-08-04-cursor-ai-sso-1-ko","url":"/blog/2026-08-04-cursor-ai-sso-1-ko/","absolute_url":"https://erpagi.com/blog/2026-08-04-cursor-ai-sso-1-ko/","title":"Cursor AI 엔터프라이즈 SSO 및 보안 인증 지원: 1인 개발자가 알아야 할 것","summary":"Cursor Teams Premium 요금제에서는 SAML/OIDC SSO를 공식적으로 지원합니다. 이는 조직의 중앙 집중식 인증을 가능하게 하는 핵심 기능입니다. [일반 가이드] 요금과 기능 조건은 공식 페이지의 최신 안내를 확인한 뒤 작업 규모에 맞춰 비교하세요. [일반 가이드] 개인 개발자가 Solo로 사용 중이라면 SSO를 직접 설정할 수 없으며, 팀 계정으로 전환해야 합니다. 이는 비용과 관리 부담을 증가시킬 수 있는 결정입니다.","lang":"ko","content_type":"pseo","topic_key":"cursor-ai-sso-1","keywords":["cursor-ai-sso-1","Cursor AI","엔터프라이즈 SSO 및 보안 인증 지원","1인 개발자","비교표","SSO 및 보안 기능의 계획별 제공 현황","1인 개발자를 위한 보안 및 인증 선택 가이드"],"published_at":"2026-08-04T02:03:25.153593Z","updated_at":"2026-08-04T02:03:25.153593Z","source_urls":["https://cursor.com/pricing"],"claim_count":3,"faq_count":3,"section_count":3,"has_evidence":true},{"id":"skillhub-manage-skills-across-claude-codex-cursor-etc-en","url":"/blog/skillhub-manage-skills-across-claude-codex-cursor-etc-en/","absolute_url":"https://erpagi.com/blog/skillhub-manage-skills-across-claude-codex-cursor-etc-en/","title":"Skillhub: Manage Skills across Claude, Codex, Cursor, Etc","summary":"Cursor offers a free tier with limited agent requests and access to the Composer tool. This limitation affects functionality for users on the free plan. Anthropic Claude Code's documentation emphasizes settings and permissions management, indicating a focus on configuration control.","lang":"en","content_type":"ts","topic_key":"Skillhub, Manage Skills across Claude, Codex, Cursor, Etc","keywords":["Skillhub, Manage Skills across Claude, Codex, Cursor, Etc","Implications for Skill Management","Decision Criteria for Tool Selection","Limitations and Constraints"],"published_at":"2026-08-04T01:51:25.483Z","updated_at":"2026-08-04T02:35:25.483Z","source_urls":["https://cursor.com/pricing","https://code.claude.com/docs/en/settings"],"claim_count":2,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"from-keyword-research-and-technical-seo-to-content-backlinks-and-long-term-strategy-here-s-a-pract-en","url":"/blog/from-keyword-research-and-technical-seo-to-content-backlinks-and-long-term-strategy-here-s-a-pract-en/","absolute_url":"https://erpagi.com/blog/from-keyword-research-and-technical-seo-to-content-backlinks-and-long-term-strategy-here-s-a-pract-en/","title":"Technical SEO and Content Strategy Analysis","summary":"SEO strategies should prioritize user experience by making content easy to find and navigate, according to Google's guidelines.","lang":"en","content_type":"ts","topic_key":"From keyword research and technical SEO to content, backlinks and long term strategy, here's a pract","keywords":["From keyword research and technical SEO to content, backlinks and long term strategy, here's a pract","Implications for Content Strategy","Decision Criteria in SEO Implementation","Limitations of Current SEO Approaches"],"published_at":"2026-08-03T05:48:06.335Z","updated_at":"2026-08-03T06:16:06.335Z","source_urls":["https://developers.google.com/search/docs/fundamentals/seo-starter-guide?hl=en","https://developers.google.com/search/docs/appearance/ranking-systems-guide?hl=en","https://developers.google.com/search/docs/essentials?hl=en"],"claim_count":2,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"from-keyword-research-and-technical-seo-to-content-backlinks-and-long-term-strategy-here-s-a-pract-ko","url":"/blog/from-keyword-research-and-technical-seo-to-content-backlinks-and-long-term-strategy-here-s-a-pract-ko/","absolute_url":"https://erpagi.com/blog/from-keyword-research-and-technical-seo-to-content-backlinks-and-long-term-strategy-here-s-a-pract-ko/","title":"SEO 전략의 핵심 요소와 기술적 접근","summary":"SEO 전략은 사용자 경험을 우선시해야 하며, 콘텐츠를 쉽게 찾고 탐색할 수 있도록 해야 합니다. 이는 검색 엔진이 제공하는 기준에 부합하기 위한 핵심 요소입니다. 또한 Google의 순위 시스템은 수십억 개의 웹 페이지를 다수의 신호와 요인을 통해 평가합니다.","lang":"ko","content_type":"ts","topic_key":"From keyword research and technical SEO to content, backlinks and long term strategy, here's a pract","keywords":["From keyword research and technical SEO to content, backlinks and long term strategy, here's a pract","SEO 전략의 핵심 의미","SEO 전략의 선택 기준","SEO 전략의 제약과 기술적 요구사항"],"published_at":"2026-08-03T05:46:06.335Z","updated_at":"2026-08-03T06:16:06.335Z","source_urls":["https://developers.google.com/search/docs/fundamentals/seo-starter-guide?hl=en","https://developers.google.com/search/docs/appearance/ranking-systems-guide?hl=en","https://developers.google.com/search/docs/essentials?hl=en"],"claim_count":1,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"apple-m5-isn-t-making-full-use-of-its-matmul-cores-yet-en","url":"/blog/apple-m5-isn-t-making-full-use-of-its-matmul-cores-yet-en/","absolute_url":"https://erpagi.com/blog/apple-m5-isn-t-making-full-use-of-its-matmul-cores-yet-en/","title":"Apple Silicon Matmul Core Utilization","summary":"Current Apple‑silicon‑focused libraries are optimized for ARM NEON, Accelerate and Metal but have not yet demonstrated full matmul‑core throughput.","lang":"en","content_type":"ts","topic_key":"Apple M5 isn't making full use of its matmul cores yet","keywords":["Apple M5 isn't making full use of its matmul cores yet","Implications","Decision Criteria","Limits"],"published_at":"2026-08-02T09:31:14.197Z","updated_at":"2026-08-02T09:56:14.197Z","source_urls":["https://github.com/ggml-org/llama.cpp","https://ml-explore.github.io/mlx/build/html/index.html"],"claim_count":2,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"apple-m5-isn-t-making-full-use-of-its-matmul-cores-yet-ko","url":"/blog/apple-m5-isn-t-making-full-use-of-its-matmul-cores-yet-ko/","absolute_url":"https://erpagi.com/blog/apple-m5-isn-t-making-full-use-of-its-matmul-cores-yet-ko/","title":"Apple M5 isn't making full use of its matmul cores yet","summary":"소프트웨어 생태계의 최적화 수준이 하드웨어 성능 활용도에 직접적인 영향을 미친다. 현재 주요 프레임워크는 애플 실리콘 아키텍처를 공식적으로 지원하며 의존성 없이 독립 실행 가능한 구조를 갖추고 있다.","lang":"ko","content_type":"ts","topic_key":"Apple M5 isn't making full use of its matmul cores yet","keywords":["Apple M5 isn't making full use of its matmul cores yet","사실의 의미","선택 기준","제약 사항"],"published_at":"2026-08-02T09:11:14.197Z","updated_at":"2026-08-02T09:56:14.197Z","source_urls":["https://github.com/ggml-org/llama.cpp","https://ml-explore.github.io/mlx/build/html/index.html"],"claim_count":3,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"best-local-open-source-ai-model-for-a-macbook-pro-m5-ko","url":"/blog/best-local-open-source-ai-model-for-a-macbook-pro-m5-ko/","absolute_url":"https://erpagi.com/blog/best-local-open-source-ai-model-for-a-macbook-pro-m5-ko/","title":"MacBook Pro M5에서 실행 가능한 베스트 로컬 오픈소스 AI 모델","summary":"MLX의 최신 버전은 0.32.0이며, 공식 문서에 명시되어 있다. llama.cpp는 Apple Silicon을 ARM NEON, Accelerate, Metal 프레임워크로 최적화하였다. llama.cpp 구현은 의존성이 없도록 설계되었다.","lang":"ko","content_type":"ts","topic_key":"Best local open-source AI model for a MacBook Pro M5 ...","keywords":["Best local open-source AI model for a MacBook Pro M5 ...","MLX 프레임워크","llama.cpp (Apple Silicon 최적화)"],"published_at":"2026-08-02T04:20:46.823Z","updated_at":"2026-08-02T04:54:46.823Z","source_urls":["https://ml-explore.github.io/mlx/build/html/index.html","https://github.com/ggml-org/llama.cpp"],"claim_count":2,"faq_count":2,"section_count":2,"has_evidence":true},{"id":"best-local-open-source-ai-model-for-a-macbook-pro-m5-en","url":"/blog/best-local-open-source-ai-model-for-a-macbook-pro-m5-en/","absolute_url":"https://erpagi.com/blog/best-local-open-source-ai-model-for-a-macbook-pro-m5-en/","title":"Best local open-source AI model for a MacBook Pro M5","summary":"MLX 0.32.0 is the latest release, providing a native framework for Apple Silicon. Compare its documented scope with llama.cpp's Apple Silicon support before choosing a local workflow for your MacBook Pro.","lang":"en","content_type":"ts","topic_key":"Best local open-source AI model for a MacBook Pro M5 ...","keywords":["Best local open-source AI model for a MacBook Pro M5 ...","Implications","Decision Criteria","Limits"],"published_at":"2026-08-02T04:18:46.823Z","updated_at":"2026-08-02T04:54:46.823Z","source_urls":["https://ml-explore.github.io/mlx/build/html/index.html","https://github.com/ggml-org/llama.cpp"],"claim_count":2,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"2026-08-02-devin-desktop-formerly-windsurf-5-en","url":"/blog/2026-08-02-devin-desktop-formerly-windsurf-5-en/","absolute_url":"https://erpagi.com/blog/2026-08-02-devin-desktop-formerly-windsurf-5-en/","title":"Devin Language and Framework Support Scope: What Developers at Startups with 5 or Fewer Employees Need to Know","summary":"Devin can automate specific framework transition tasks, such as migrating from JavaScript to TypeScript or upgrading Angular versions. [General guidance] Small teams of fewer than five people can strategically leverage these migration capabilities to complement their limited workforce.","lang":"en","content_type":"pseo","topic_key":"devin-desktop-formerly-windsurf-5","keywords":["devin-desktop-formerly-windsurf-5","Devin Desktop (formerly Windsurf)","특정 프레임워크/언어 지원 범위","5인 이하 스타트업","Comparison","Analysis of Language and Framework Migration Support Scope","Strategic Application to Small Team Workflows"],"published_at":"2026-08-01T21:41:09.415839Z","updated_at":"2026-08-01T21:41:09.415839Z","source_urls":["https://docs.devin.ai/get-started/devin-intro"],"claim_count":4,"faq_count":3,"section_count":3,"has_evidence":true},{"id":"2026-08-02-devin-desktop-formerly-windsurf-5-ko","url":"/blog/2026-08-02-devin-desktop-formerly-windsurf-5-ko/","absolute_url":"https://erpagi.com/blog/2026-08-02-devin-desktop-formerly-windsurf-5-ko/","title":"Devin 언어 및 프레임워크 지원 범위: 5인 이하 스타트업 개발자가 알아야 할 것","summary":"Devin은 자바스크립트에서 타입스크립트로의 언어 마이그레이션이나 앵귤러 버전 업그레이드와 같은 구체적인 프레임워크 전환 작업을 자동화할 수 있습니다. [일반 가이드] 5인 미만 소규모 팀은 제한된 인력을 보완하기 위해 이러한 마이그레이션 기능을 전략적으로 활용할 수 있습니다.","lang":"ko","content_type":"pseo","topic_key":"devin-desktop-formerly-windsurf-5","keywords":["devin-desktop-formerly-windsurf-5","Devin Desktop (formerly Windsurf)","특정 프레임워크/언어 지원 범위","5인 이하 스타트업","비교표","언어 및 프레임워크 마이그레이션 지원 범위 분석","소규모 팀 워크플로에의 전략적 적용"],"published_at":"2026-08-01T21:38:35.472809Z","updated_at":"2026-08-01T21:38:35.472809Z","source_urls":["https://docs.devin.ai/get-started/devin-intro"],"claim_count":4,"faq_count":3,"section_count":3,"has_evidence":true},{"id":"cursor-ai-vs-github-copilot-vs-windsurf-coding-ko","url":"/blog/cursor-ai-vs-github-copilot-vs-windsurf-coding-ko/","absolute_url":"https://erpagi.com/blog/cursor-ai-vs-github-copilot-vs-windsurf-coding-ko/","title":"Cursor, Copilot, Windsurf: 차세대 AI 코딩 도구의 핵심 비교와 선택 가이드","summary":"Cursor, GitHub Copilot, Windsurf 등 주요 AI 코딩 도구는 각각 200K 토큰 컨텍스트 윈도우와 실시간 검증 파이프라인을 제공하지만, SWE-bench 벤치마크에서 최상위 모델의 실제 이슈 해결률(13.86%)이 입증하듯 생성된 코드에는 여전히 보안 취약점과 논리 오류가 포함될 수 있다. 따라서 도구 선택은 프로젝트 규모와 보안 요구사항에 맞춰 결정해야 하며, 모든 제안 코드는 반드시 개발자의 수동 검토와 테스트를 거쳐야 한다.","lang":"ko","content_type":"ts","topic_key":"cursor-vs-copilot-vs-windsurf","keywords":["cursor-vs-copilot-vs-windsurf","ERPAGI Original Data — 최근 30일 커뮤니티 관찰","Cursor와 Windsurf의 컨텍스트 처리 능력 및 검증 메커니즘","GitHub Copilot의 보안 스캔 한계와 실제 워크플로우 비교","SWE-bench 실증 데이터 기반 선택 가이드 및 검증 프로세스"],"published_at":"2026-07-30T08:54:06.843Z","updated_at":"2026-07-30T09:08:06.843Z","source_urls":["https://docs.cursor.com/","https://docs.github.com/en/copilot/about-github-copilot","https://docs.windsurf.ai/","https://arxiv.org/abs/2310.06770","https://docs.github.com/en/copilot/about-github-copilot/limitations-of-github-copilot","https://www.reddit.com/r/LLMDevs/comments/1vefdfu/what_is_your_goto_coding_harness_these_days/","https://x.com/EntelligenceAI/article/2079623464043049135","https://www.linkedin.com/posts/dmorais92_10-tips-for-running-four-ai-coding-agents-activity-7487824194798481408-bVEg","https://www.youtube.com/watch?v=5XJNgyLL108","https://www.reddit.com/r/ClaudeCode/comments/1vkl0a7/whats_the_best_ai_coding_agents_that_wont_bleed/","https://x.com/incrypted/article/2080298207330898328","https://www.morphllm.com/best-ai-coding-agents-2026","https://www.youtube.com/watch?v=xJEFjE88wdw","https://www.reddit.com/r/AI_Agents/comments/1uvl9ym/if_you_were_starting_an_ai_project_from_scratch/","https://x.com/JulianGoldieSEO/status/2084695069765095869","https://mightybot.ai/blog/coding-ai-agents-for-accelerating-engineering-workflows/","https://www.youtube.com/watch?v=c4WnIWhnxdk","https://www.reddit.com/r/AI_Agents/comments/1vi7e9b/routing_coding_agent_sessions_across_claude_code/","https://x.com/gippp69/status/2085717437119439342","https://www.firecrawl.dev/blog/best-ai-coding-agents","https://www.youtube.com/watch?v=Rdxo4Drwh10","https://www.reddit.com/r/cursor/comments/1v6y7sd/has_anyone_actually_replaced_claude_as_their_main/","https://x.com/nuux_tv","https://www.codeagentswarm.com/en/guides/claude-code-vs-cursor-vs-codex","https://www.youtube.com/watch?v=1q_exUwzkVg","https://www.reddit.com/r/aiagents/comments/1v96nht/i_run_4_ai_coding_agents_at_once_claude_code/","https://x.com/Sumanth_077/status/2079207813038149772","https://www.instagram.com/reel/DbbIyyaPYId/","https://www.youtube.com/watch?v=zxQKxZqYLjc"],"claim_count":4,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"cursor-ai-vs-github-copilot-vs-windsurf-coding-en","url":"/blog/cursor-ai-vs-github-copilot-vs-windsurf-coding-en/","absolute_url":"https://erpagi.com/blog/cursor-ai-vs-github-copilot-vs-windsurf-coding-en/","title":"Contextual AI Coding Assistants: Cursor, Copilot, and Windsurf Compared","summary":"Modern AI coding assistants have evolved from simple autocomplete utilities into sophisticated contextual engines capable of processing extensive project structures. While Cursor and Windsurf leverage massive 200K token context windows to maintain full codebase awareness, GitHub Copilot emphasizes security scanning against public and internal repositories. Independent benchmarking reveals that even top-tier models achieve only a 13.86% success rate on complex real-world issues, confirming that these tools function as accelerators rather than autonomous replacements. Successful implementation requires strict validation protocols, comprehensive testing suites, and continuous human oversight to mitigate security risks and logical inaccuracies.","lang":"en","content_type":"ts","topic_key":"cursor-vs-copilot-vs-windsurf","keywords":["cursor-vs-copilot-vs-windsurf","ERPAGI Original Data — Last 30 Days","Contextual Architecture & Token Window Capacity","Code Generation Workflow & Safety Protocols","Benchmark Realities & Human-in-the-Loop Necessity"],"published_at":"2026-07-30T08:23:06.843Z","updated_at":"2026-07-30T09:08:06.843Z","source_urls":["https://docs.cursor.com/","https://docs.github.com/en/copilot/about-github-copilot","https://docs.windsurf.ai/","https://arxiv.org/abs/2310.06770","https://docs.github.com/en/copilot/about-github-copilot/limitations-of-github-copilot","https://www.reddit.com/r/LLMDevs/comments/1vefdfu/what_is_your_goto_coding_harness_these_days/","https://x.com/EntelligenceAI/article/2079623464043049135","https://www.linkedin.com/posts/dmorais92_10-tips-for-running-four-ai-coding-agents-activity-7487824194798481408-bVEg","https://www.youtube.com/watch?v=5XJNgyLL108","https://www.reddit.com/r/ClaudeCode/comments/1vkl0a7/whats_the_best_ai_coding_agents_that_wont_bleed/","https://x.com/incrypted/article/2080298207330898328","https://www.morphllm.com/best-ai-coding-agents-2026","https://www.youtube.com/watch?v=xJEFjE88wdw","https://www.reddit.com/r/AI_Agents/comments/1uvl9ym/if_you_were_starting_an_ai_project_from_scratch/","https://x.com/JulianGoldieSEO/status/2084695069765095869","https://mightybot.ai/blog/coding-ai-agents-for-accelerating-engineering-workflows/","https://www.youtube.com/watch?v=c4WnIWhnxdk","https://www.reddit.com/r/AI_Agents/comments/1vi7e9b/routing_coding_agent_sessions_across_claude_code/","https://x.com/gippp69/status/2085717437119439342","https://www.firecrawl.dev/blog/best-ai-coding-agents","https://www.youtube.com/watch?v=Rdxo4Drwh10","https://www.reddit.com/r/cursor/comments/1v6y7sd/has_anyone_actually_replaced_claude_as_their_main/","https://x.com/nuux_tv","https://www.codeagentswarm.com/en/guides/claude-code-vs-cursor-vs-codex","https://www.youtube.com/watch?v=1q_exUwzkVg","https://www.reddit.com/r/aiagents/comments/1v96nht/i_run_4_ai_coding_agents_at_once_claude_code/","https://x.com/Sumanth_077/status/2079207813038149772","https://www.instagram.com/reel/DbbIyyaPYId/","https://www.youtube.com/watch?v=zxQKxZqYLjc"],"claim_count":4,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"ai-agents-automation-n8n-zapier-make-comparison-2025-en","url":"/blog/ai-agents-automation-n8n-zapier-make-comparison-2025-en/","absolute_url":"https://erpagi.com/blog/ai-agents-automation-n8n-zapier-make-comparison-2025-en/","title":"AI Agent Automation Platforms Compared: n8n, Zapier, and Make in 2025","summary":"A rigorous analysis of n8n, Zapier, and Make reveals distinct architectural trade-offs for AI agent automation. n8n delivers over 15 built-in LLM nodes with zero execution caps on self-hosted infrastructure, making it ideal for heavy computational loads. Zapier restricts inputs to 1,000 tokens but offers unmatched simplicity for standard API chaining. Make provides a 4,096 token context window on its basic tier, though operational volume remains capped at 1,000 monthly units. Academic benchmarking confirms that multi-agent pipelines achieve an average success rate of 68.4%, with environmental volatility triggering a 35% failure spike. Organizations must align platform selection with their specific token requirements, scaling expectations, and tolerance for infrastructure management overhead.","lang":"en","content_type":"ts","topic_key":"ai_agents_automation_n8n_zapier_make_comparison_2025","keywords":["ai_agents_automation_n8n_zapier_make_comparison_2025","Architectural Foundations and Token Constraints","Operational Scaling and Context Window Management","Performance Benchmarks and Strategic Implementation Guidelines"],"published_at":"2026-07-29T22:42:28.526Z","updated_at":"2026-07-29T23:10:28.526Z","source_urls":["https://docs.n8n.io/integrations/builtin/core-nodes/ai-chat-with-your-data/","https://platform.zapier.com/docs/ai-actions","https://www.make.com/en/help/scenarios/ai-module","https://arxiv.org/abs/2405.17936"],"claim_count":4,"faq_count":3,"section_count":3,"has_evidence":true},{"id":"ai-agents-automation-n8n-zapier-make-comparison-2025-ko","url":"/blog/ai-agents-automation-n8n-zapier-make-comparison-2025-ko/","absolute_url":"https://erpagi.com/blog/ai-agents-automation-n8n-zapier-make-comparison-2025-ko/","title":"2025년 AI 에이전트 자동화 플랫폼 비교: n8n, Zapier, Make 전략적 도입 가이드","summary":"n8n, Zapier, Make의 2025년 AI 에이전트 자동화 플랫폼을 토큰 한도, 확장성 아키텍처, 실제 파이프라인 성공률(68.4%) 관점에서 비교 분석하고, 환경 변경 시 실패율 증가(35%)를 방지하는 실전 도입 기준과 안전장치 설계 방법을 제시합니다.","lang":"ko","content_type":"ts","topic_key":"ai_agents_automation_comparison","keywords":["ai_agents_automation_comparison","플랫폼별 AI 에이전트 핵심 기능 및 토큰 한도 비교","확장성 한계 및 다중 에이전트 파이프라인 실패율 분석","전략적 도입 기준 및 실제 실패 시나리오"],"published_at":"2026-07-29T22:33:28.526Z","updated_at":"2026-07-29T23:10:28.526Z","source_urls":["https://docs.n8n.io/integrations/builtin/core-nodes/ai-chat-with-your-data/","https://platform.zapier.com/docs/ai-actions","https://www.make.com/en/help/scenarios/ai-module","https://docs.n8n.io/hosting/scaling/","https://arxiv.org/abs/2405.17936"],"claim_count":5,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"best-ai-coding-tools-python-javascript-developers-en","url":"/blog/best-ai-coding-tools-python-javascript-developers-en/","absolute_url":"https://erpagi.com/blog/best-ai-coding-tools-python-javascript-developers-en/","title":"Optimal AI Coding Assistants for Python and JavaScript Developers","summary":"AI coding assistants significantly boost productivity but exhibit severe limitations in autonomous repository management. While IDE plugins deliver high accuracy and speed, full agents struggle with complex dependency resolution.","lang":"en","content_type":"ts","topic_key":"best-ai-coding-tools-python-javascript-developers","keywords":["best-ai-coding-tools-python-javascript-developers","ERPAGI Original Data — Last 30 Days","The Productivity Baseline for IDE-Integrated Assistants","The Autonomy Gap in Complex Repository Environments","Strategic Selection Frameworks for Engineering Teams"],"published_at":"2026-07-29T02:54:06.014Z","updated_at":"2026-07-29T03:13:06.014Z","source_urls":["https://docs.github.com/en/copilot","https://docs.cursor.com","https://github.com/princeton-nlp/SWE-agent","https://arxiv.org/abs/2310.16947","https://docs.codeium.com","https://www.reddit.com/r/LLMDevs/comments/1vefdfu/what_is_your_goto_coding_harness_these_days/","https://x.com/EntelligenceAI/article/2079623464043049135","https://www.linkedin.com/posts/dmorais92_10-tips-for-running-four-ai-coding-agents-activity-7487824194798481408-bVEg","https://www.youtube.com/watch?v=5XJNgyLL108","https://www.reddit.com/r/ClaudeCode/comments/1vkl0a7/whats_the_best_ai_coding_agents_that_wont_bleed/","https://x.com/incrypted/article/2080298207330898328","https://www.morphllm.com/best-ai-coding-agents-2026","https://www.youtube.com/watch?v=xJEFjE88wdw","https://www.reddit.com/r/AI_Agents/comments/1uvl9ym/if_you_were_starting_an_ai_project_from_scratch/","https://x.com/JulianGoldieSEO/status/2084695069765095869","https://mightybot.ai/blog/coding-ai-agents-for-accelerating-engineering-workflows/","https://www.youtube.com/watch?v=c4WnIWhnxdk","https://www.reddit.com/r/AI_Agents/comments/1vi7e9b/routing_coding_agent_sessions_across_claude_code/","https://x.com/gippp69/status/2085717437119439342","https://www.firecrawl.dev/blog/best-ai-coding-agents","https://www.youtube.com/watch?v=Rdxo4Drwh10","https://www.reddit.com/r/cursor/comments/1v6y7sd/has_anyone_actually_replaced_claude_as_their_main/","https://x.com/nuux_tv","https://www.codeagentswarm.com/en/guides/claude-code-vs-cursor-vs-codex","https://www.youtube.com/watch?v=1q_exUwzkVg","https://www.reddit.com/r/aiagents/comments/1v96nht/i_run_4_ai_coding_agents_at_once_claude_code/","https://x.com/Sumanth_077/status/2079207813038149772","https://www.instagram.com/reel/DbbIyyaPYId/","https://www.youtube.com/watch?v=zxQKxZqYLjc"],"claim_count":2,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"best-ai-coding-tools-python-javascript-developers-ko","url":"/blog/best-ai-coding-tools-python-javascript-developers-ko/","absolute_url":"https://erpagi.com/blog/best-ai-coding-tools-python-javascript-developers-ko/","title":"Python과 JavaScript 개발자를 위한 AI 코딩 도구 선택 가이드: 정확도, 속도, 한계 분석","summary":"Python 및 JavaScript 개발자를 위한 AI 코딩 도구 선택은 단순한 코드 작성 속도 향상 평균 55%를 넘어 실제 테스트 스위트 통과율 18%와 의존성 충돌 시 무한 루프 발생률 73% 등 실전 신뢰도를 기준으로 판단해야 합니다. 자동 완성에는 Cursor와 Codeium이 우수하나 복잡한 이슈 해결 에이전트는 여전히 인간 감독이 필수적입니다","lang":"ko","content_type":"ts","topic_key":"ai_coding_tools_pyjs","keywords":["ai_coding_tools_pyjs","ERPAGI Original Data — 최근 30일 커뮤니티 관찰","자동 완성 및 실시간 제안 도구 비교 분석","에이전트 기반 이슈 해결의 실전 성능과 한계","실제 개발 환경 적용 시 신뢰도 평가"],"published_at":"2026-07-29T02:43:06.014Z","updated_at":"2026-07-29T03:13:06.014Z","source_urls":["https://docs.github.com/en/copilot","https://docs.cursor.com","https://github.com/princeton-nlp/SWE-agent","https://arxiv.org/abs/2310.16947","https://docs.codeium.com","https://www.reddit.com/r/LLMDevs/comments/1vefdfu/what_is_your_goto_coding_harness_these_days/","https://x.com/EntelligenceAI/article/2079623464043049135","https://www.linkedin.com/posts/dmorais92_10-tips-for-running-four-ai-coding-agents-activity-7487824194798481408-bVEg","https://www.youtube.com/watch?v=5XJNgyLL108","https://www.reddit.com/r/ClaudeCode/comments/1vkl0a7/whats_the_best_ai_coding_agents_that_wont_bleed/","https://x.com/incrypted/article/2080298207330898328","https://www.morphllm.com/best-ai-coding-agents-2026","https://www.youtube.com/watch?v=xJEFjE88wdw","https://www.reddit.com/r/AI_Agents/comments/1uvl9ym/if_you_were_starting_an_ai_project_from_scratch/","https://x.com/JulianGoldieSEO/status/2084695069765095869","https://mightybot.ai/blog/coding-ai-agents-for-accelerating-engineering-workflows/","https://www.youtube.com/watch?v=c4WnIWhnxdk","https://www.reddit.com/r/AI_Agents/comments/1vi7e9b/routing_coding_agent_sessions_across_claude_code/","https://x.com/gippp69/status/2085717437119439342","https://www.firecrawl.dev/blog/best-ai-coding-agents","https://www.youtube.com/watch?v=Rdxo4Drwh10","https://www.reddit.com/r/cursor/comments/1v6y7sd/has_anyone_actually_replaced_claude_as_their_main/","https://x.com/nuux_tv","https://www.codeagentswarm.com/en/guides/claude-code-vs-cursor-vs-codex","https://www.youtube.com/watch?v=1q_exUwzkVg","https://www.reddit.com/r/aiagents/comments/1v96nht/i_run_4_ai_coding_agents_at_once_claude_code/","https://x.com/Sumanth_077/status/2079207813038149772","https://www.instagram.com/reel/DbbIyyaPYId/","https://www.youtube.com/watch?v=zxQKxZqYLjc"],"claim_count":4,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"ai-video-generators-sora-kling-runway-gen-3-2025-en","url":"/blog/ai-video-generators-sora-kling-runway-gen-3-2025-en/","absolute_url":"https://erpagi.com/blog/ai-video-generators-sora-kling-runway-gen-3-2025-en/","title":"AI Video Generators in 2025: Sora, Kling, and Runway Gen-3 Alpha Compared","summary":"The 2025 AI video generation landscape is dominated by three advanced architectures: OpenAI's Sora, Kuaishou's Kling Video 1.5, and Runway's Gen-3 Alpha. While all models process video as discrete tokens or diffusion transformers to simulate physical dynamics, they diverge significantly in operational constraints. Gen-3 Alpha delivers photorealistic motion at 1080p with precise prompt adherence but restricts outputs to a maximum of 5 seconds per request. Kling Video 1.5 leverages temporal attention mechanisms to achieve a 40% improvement in motion fidelity and supports up to 2 minutes of continuous generation, though it shares Sora's vulnerability to temporal inconsistency in complex scenes. V-Bench analysis indicates that both Sora and Kling exhibit a 14.3% temporal inconsistency rate in intricate environments, with object hallucination occurring in 8.7% of generated clips. For production workflows requiring granular camera control and structured prompt engineering, Gen-3 Alpha's API offers explicit motion vectors, making it ideal for short-form commercial assets. Conversely, projects demanding longer continuous sequences should prioritize Kling Video 1.5, provided post-production stabilization is allocated to mitigate temporal artifacts.","lang":"en","content_type":"ts","topic_key":"ai-video-generators-2025","keywords":["ai-video-generators-2025","Architectural Foundations & Core Processing Paradigms","Operational Constraints & API Integration Frameworks","Performance Metrics & Temporal Consistency Analysis","Strategic Deployment Guidelines & Production Workflows"],"published_at":"2026-07-28T22:40:00.565Z","updated_at":"2026-07-28T23:10:00.565Z","source_urls":["https://openai.com/research/video-generation-models-as-world-simulators","https://runwayml.com/research/gen-3-alpha-a-text-to-video-model/","https://arxiv.org/abs/2406.12393","https://arxiv.org/abs/2405.16897","https://docs.runwayml.com/getting-started/introduction"],"claim_count":2,"faq_count":3,"section_count":4,"has_evidence":true},{"id":"ai-video-generators-sora-kling-runway-gen-3-2025-ko","url":"/blog/ai-video-generators-sora-kling-runway-gen-3-2025-ko/","absolute_url":"https://erpagi.com/blog/ai-video-generators-sora-kling-runway-gen-3-2025-ko/","title":"2025년 AI 영상 생성기 심층 분석: 소라, 클링, 런웨이 Gen-3 Alpha의 기술적 한계와 선택 가이드","summary":"각 도구는 고유한 강점을 지니나, 복잡한 장면에서의 불일치율과 생성 길이 제한이라는 공통된 기술적 한계를 공유하므로 프로젝트 목적에 따른 정밀한 도구 선택이 필수적임.","lang":"ko","content_type":"ts","topic_key":"ai-video-generators-2025","keywords":["ai-video-generators-2025","아키텍처 진화: 트랜스포머와 확산 모델의 기술적 대비","정량적 성능 검증과 실전 프롬프트 공학","벤치마크가 드러낸 한계: 시간적 불일치와 객체 환각의 현실","프로젝트별 최적 도구 선택 가이드 및 워크플로우 통합"],"published_at":"2026-07-28T22:33:00.565Z","updated_at":"2026-07-28T23:10:00.565Z","source_urls":["https://openai.com/research/video-generation-models-as-world-simulators","https://runwayml.com/research/gen-3-alpha-a-text-to-video-model/","https://arxiv.org/abs/2406.12393","https://arxiv.org/abs/2405.16897","https://docs.runwayml.com/getting-started/introduction"],"claim_count":3,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"2026-07-28-devin-desktop-formerly-windsurf-sso-en","url":"/blog/2026-07-28-devin-desktop-formerly-windsurf-sso-en/","absolute_url":"https://erpagi.com/blog/2026-07-28-devin-desktop-formerly-windsurf-sso-en/","title":"Devin Desktop Plans: Enterprise SSO and Security for Agencies/Freelance Teams","summary":"[General guidance] Devin Desktop offers various plans for individuals and teams, including support for SSO and security authentication for enterprise customers. The free plan includes unlimited inline editing and tab completion with limited model availability. The pro plan offers full model availability and the option to purchase additional usage, which can be bought at API pricing. The max plan provides very high quotas, suitable for power users. The team plan offers unlimited team members, centralized billing, and an analytics dashboard. The enterprise plan includes top priority support, dedicated account management, and SAML/OIDC SSO.","lang":"en","content_type":"pseo","topic_key":"devin-desktop-formerly-windsurf-sso","keywords":["devin-desktop-formerly-windsurf-sso","Devin Desktop (formerly Windsurf)","엔터프라이즈 SSO 및 보안 인증 지원","에이전시/외주팀","Comparison","Free Plan: Option for Basic Users","Pro and Max Plans: Choice for Advanced Users","Team and Enterprise Plans: Solutions for Collaboration and Security"],"published_at":"2026-07-28T07:40:37.584660Z","updated_at":"2026-07-28T07:40:37.584660Z","source_urls":["https://devin.ai/pricing"],"claim_count":5,"faq_count":4,"section_count":4,"has_evidence":true},{"id":"2026-07-28-devin-desktop-formerly-windsurf-sso-ko","url":"/blog/2026-07-28-devin-desktop-formerly-windsurf-sso-ko/","absolute_url":"https://erpagi.com/blog/2026-07-28-devin-desktop-formerly-windsurf-sso-ko/","title":"Devin Desktop 요금제: 에이전시/외주팀을 위한 엔터프라이즈 SSO 및 보안 인증 지원","summary":"[일반 가이드] Devin Desktop은 개인 및 팀을 위한 다양한 요금제를 제공하며, 엔터프라이즈 고객을 위한 SSO 및 보안 인증을 지원합니다. 무료 요금제는 제한된 모델 가용성과 함께 인라인 편집 및 탭 완성을 무제한으로 사용할 수 있습니다. 프로 요금제는 전체 모델 가용성과 추가 사용량 구매 옵션을 제공하며, API 가격으로 구매할 수 있습니다. 맥스 요금제는 매우 높은 할당량을 제공하며, 전력 사용자에게 적합합니다. 팀 요금제는 무제한 팀원, 중앙 집중식 청구 및 분석 대시보드를 제공합니다. 엔터프라이즈 요금제는 최고 우선 지원, 전용 계정 관리 및 SAML/OIDC SSO를 포함합니다.","lang":"ko","content_type":"pseo","topic_key":"devin-desktop-formerly-windsurf-sso","keywords":["devin-desktop-formerly-windsurf-sso","Devin Desktop (formerly Windsurf)","엔터프라이즈 SSO 및 보안 인증 지원","에이전시/외주팀","비교표","무료 요금제: 기본 사용자를 위한 옵션","프로 및 맥스 요금제: 고급 사용자를 위한 선택","팀 및 엔터프라이즈 요금제: 협업과 보안을 위한 솔루션"],"published_at":"2026-07-28T07:39:49.709257Z","updated_at":"2026-07-28T07:39:49.709257Z","source_urls":["https://devin.ai/pricing"],"claim_count":5,"faq_count":4,"section_count":4,"has_evidence":true},{"id":"2026-07-27-devin-desktop-formerly-windsurf-ko","url":"/blog/2026-07-27-devin-desktop-formerly-windsurf-ko/","absolute_url":"https://erpagi.com/blog/2026-07-27-devin-desktop-formerly-windsurf-ko/","title":"Devin Desktop 무료 티어 사용량 제한: 학생이 알아야 할 것","summary":"Devin Desktop의 무료 티어는 학생들이 코드 작업에 활용할 수 있는 기본 기능을 제공하지만, 사용량과 모델 접근에 제한이 있습니다. 이 페이지는 무료 티어의 구체적인 한도와 이를 효율적으로 활용하는 방법을 설명합니다.","lang":"ko","content_type":"pseo","topic_key":"devin-desktop-formerly-windsurf","keywords":["devin-desktop-formerly-windsurf","Devin Desktop (formerly Windsurf)","무료 티어 사용량 제한","학생","무료 티어의 구체적인 사용량 제한","사용량 제한을 효율적으로 활용하는 방법","유료 플랜과의 비교"],"published_at":"2026-07-27T01:23:39.388302Z","updated_at":"2026-07-27T01:23:39.388302Z","source_urls":["https://devin.ai/pricing"],"claim_count":5,"faq_count":0,"section_count":3,"has_evidence":true},{"id":"2026-07-27-devin-desktop-formerly-windsurf-en","url":"/blog/2026-07-27-devin-desktop-formerly-windsurf-en/","absolute_url":"https://erpagi.com/blog/2026-07-27-devin-desktop-formerly-windsurf-en/","title":"Devin Desktop Free Tier Usage Limits: What Students Need to Know","summary":"This fact page explains the usage limits and features of the Devin Desktop Free tier, tailored for students who need to understand its capabilities and restrictions for academic and personal projects.","lang":"en","content_type":"pseo","topic_key":"devin-desktop-formerly-windsurf","keywords":["devin-desktop-formerly-windsurf","Devin Desktop (formerly Windsurf)","무료 티어 사용량 제한","학생","Free Tier Features and Limitations","Optimizing Usage on the Free Tier","Paid Plans for Enhanced Capabilities","Understanding Usage Limits and Overages"],"published_at":"2026-07-27T01:23:19.617389Z","updated_at":"2026-07-27T01:23:19.617389Z","source_urls":["https://devin.ai/pricing"],"claim_count":5,"faq_count":4,"section_count":4,"has_evidence":true},{"id":"apple-m4-macbook-ai-performance-local-llm-benchmark-en","url":"/blog/apple-m4-macbook-ai-performance-local-llm-benchmark-en/","absolute_url":"https://erpagi.com/blog/apple-m4-macbook-ai-performance-local-llm-benchmark-en/","title":"Apple M4 MacBook Local LLM Inference: Architecture, Benchmarks, and Deployment Limits","summary":"The Apple M4 architecture delivers highly efficient local inference for quantized models up to 70B parameters through unified memory optimization and specialized neural processing units. While peak memory access reaches 120GB/s, scaling beyond this threshold introduces CPU routing bottlenecks that trigger thermal management protocols and degrade sustained throughput. Optimal deployment requires MLX or CoreML backends to minimize data transfer overhead, alongside strict context window management to prevent memory exhaustion.","lang":"en","content_type":"ts","topic_key":"apple_m4_macbook_ai_performance_local_llm_benchmark","keywords":["apple_m4_macbook_ai_performance_local_llm_benchmark","Unified Memory Architecture and Runtime Optimization","Scaling Thresholds and Thermal Management Behavior","Backend Selection and Memory Management Strategies"],"published_at":"2026-07-19T22:38:43.447Z","updated_at":"2026-07-19T23:17:43.447Z","source_urls":["https://ml-explore.github.io/mlx/build/html/index.html","https://github.com/ggerganov/llama.cpp","https://huggingface.co/docs/accelerate/en/usage_guides/mac","https://www.phoronix.com/review/apple-m4-chip","https://www.anandtech.com/show/18643/apple-m4-chip-review"],"claim_count":3,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"2026-07-19-notebooklm-vs-en","url":"/blog/2026-07-19-notebooklm-vs-en/","absolute_url":"https://erpagi.com/blog/2026-07-19-notebooklm-vs-en/","title":"NotebookLM Annual vs Monthly Plan Pricing: What Students Need to Know","summary":"This fact page provides a detailed comparison of Google One's NotebookLM plans for students, focusing on the cost savings and feature differences between monthly and annual subscriptions, including storage allocations and AI feature access.","lang":"en","content_type":"pseo","topic_key":"notebooklm-vs","keywords":["notebooklm-vs","NotebookLM","연간 결제 vs 월간 결제 할인율","학생","Plan Comparison Table","Key Features and Benefits for Students","Cost Analysis and Recommendations","Original Analysis for Students"],"published_at":"2026-07-18T21:31:17.955557Z","updated_at":"2026-07-18T21:31:17.955557Z","source_urls":["https://one.google.com/about/plans"],"claim_count":5,"faq_count":4,"section_count":4,"has_evidence":true},{"id":"2026-07-18-cursor-ai-ko","url":"/blog/2026-07-18-cursor-ai-ko/","absolute_url":"https://erpagi.com/blog/2026-07-18-cursor-ai-ko/","title":"Cursor AI 학생 할인 및 비영리 지원: 학생이 알아야 할 모든 것","summary":"Cursor AI는 학생과 비영리 단체에 대한 구체적인 할인이나 가격 정책을 공개적으로 명시하지 않았지만, 무료 시작 옵션과 캠퍼스 이벤트 기반의 프로모션을 통해 학생들에게 접근성을 제공하고 있습니다. 학생들은 뉴스레터를 통해 최신 혜택과 이벤트 정보를 얻을 수 있습니다.","lang":"ko","content_type":"pseo","topic_key":"cursor-ai","keywords":["cursor-ai","Cursor AI","학생/비영리 할인 여부","학생","공식 가격 및 할인 정책","학생과 비영리 단체를 위한 지원","학생들의 Cursor AI 사용 후기"],"published_at":"2026-07-18T12:31:13.141438Z","updated_at":"2026-07-18T12:31:13.141438Z","source_urls":["https://cursor.com/students"],"claim_count":3,"faq_count":3,"section_count":3,"has_evidence":true},{"id":"2026-07-18-cursor-ai-en","url":"/blog/2026-07-18-cursor-ai-en/","absolute_url":"https://erpagi.com/blog/2026-07-18-cursor-ai-en/","title":"Cursor AI Student Discounts and Campus Programs: What Students Need to Know","summary":"Cursor AI offers free access to students and plans to provide exclusive promotions and discounts through campus events starting this fall. The tool is designed to enhance productivity for technical students and founders by automating tedious tasks and enabling rapid development.","lang":"en","content_type":"pseo","topic_key":"cursor-ai","keywords":["cursor-ai","Cursor AI","학생/비영리 할인 여부","학생","Current Access and Availability","Student Testimonials and Use Cases","Implications for Students and Campus Leaders","Original Analysis"],"published_at":"2026-07-18T12:30:44.791878Z","updated_at":"2026-07-18T12:30:44.791878Z","source_urls":["https://cursor.com/students"],"claim_count":5,"faq_count":4,"section_count":4,"has_evidence":true},{"id":"2026-07-18-cursor-ai-vs-en","url":"/blog/2026-07-18-cursor-ai-vs-en/","absolute_url":"https://erpagi.com/blog/2026-07-18-cursor-ai-vs-en/","title":"Cursor AI Pricing for Agencies and Outsourcing Teams: Monthly vs. Yearly Plans","summary":"This fact page details Cursor AI's pricing structure, highlighting the differences between monthly and yearly plans, and the specific features and benefits that are most relevant for agencies and outsourcing teams.","lang":"en","content_type":"pseo","topic_key":"cursor-ai-vs","keywords":["cursor-ai-vs","Cursor AI","연간 결제 vs 월간 결제 할인율","에이전시/외주팀","Cursor AI Pricing Plans","Key Features for Agencies and Outsourcing Teams","Payment and Billing Options","Original Analysis for Agencies and Outsourcing Teams"],"published_at":"2026-07-18T05:30:43.651283Z","updated_at":"2026-07-18T05:30:43.651283Z","source_urls":["https://cursor.com/pricing"],"claim_count":5,"faq_count":0,"section_count":4,"has_evidence":true},{"id":"2026-07-18-cursor-ai-seat-5-ko","url":"/blog/2026-07-18-cursor-ai-seat-5-ko/","absolute_url":"https://erpagi.com/blog/2026-07-18-cursor-ai-seat-5-ko/","title":"Cursor AI 팀 요금제 좌석당 가격: 5인 이하 스타트업이 알아야 할 것","summary":"Cursor AI는 팀 단위의 협업을 고려한 요금제를 제공하며, 팀 요금제는 사용자당 월 $40로 책정되어 있다. 이 요금제는 중앙 집중식 팀 청구 및 관리, 공유 팀 콘텍스트, 그리고 SAML/OIDC SSO 같은 고급 기능을 포함한다. 5인 이하 스타트업은 팀 요금제의 유연성과 기능성을 통해 효율적인 협업과 비용 관리가 가능하다.","lang":"ko","content_type":"pseo","topic_key":"cursor-ai-seat-5","keywords":["cursor-ai-seat-5","Cursor AI","팀 요금제 좌석(seat)당 가격","5인 이하 스타트업","Cursor AI 요금제 개요","팀 요금제의 주요 기능","팀 요금제와 기업용 요금제의 차이","FAQ"],"published_at":"2026-07-17T21:31:57.135848Z","updated_at":"2026-07-17T21:31:57.135848Z","source_urls":["https://cursor.com/pricing"],"claim_count":5,"faq_count":4,"section_count":4,"has_evidence":true},{"id":"notebooklm-tutorial-research-study-ai-2025-en","url":"/blog/notebooklm-tutorial-research-study-ai-2025-en/","absolute_url":"https://erpagi.com/blog/notebooklm-tutorial-research-study-ai-2025-en/","title":"NotebookLM Tutorial & Research Study Guide for AI Learning Workflows","summary":"NotebookLM transforms static documents into interactive knowledge frameworks by anchoring insights to uploaded sources. Users benefit from structured outputs containing an average of 12 sections and over 45 sub-items, facilitating systematic study planning. However, baseline accuracy hovers around 78.4%, with performance declining when contextual inputs remain sparse. Complex logical reasoning tasks present significant limitations, exhibiting error rates up to 34% during multi-step deductions. Optimal usage involves treating the tool as a synthesis engine rather than an independent analytical authority.","lang":"en","content_type":"ts","topic_key":"notebooklm_tutorial_research_study_ai","keywords":["notebooklm_tutorial_research_study_ai","Core Document Processing & Citation Architecture","Accuracy Metrics & Contextual Dependency Analysis","Structural Output Generation & Study Methodology","Logical Reasoning Benchmarks & Performance Limitations","Strategic Implementation & Workflow Optimization"],"published_at":"2026-07-16T02:48:38.545Z","updated_at":"2026-07-16T03:14:38.545Z","source_urls":["https://blog.google/technology/ai/google-notebooklm-ai-study-buddy/","https://support.google.com/notebooklm/answer/14673508","https://arxiv.org/abs/2402.15678","https://www.nature.com/articles/s41598-024-73898-2","https://notebooklm.google.com/guides"],"claim_count":3,"faq_count":2,"section_count":5,"has_evidence":true},{"id":"cursor-ai-setup-tutorial-beginners-2025-en","url":"/blog/cursor-ai-setup-tutorial-beginners-2025-en/","absolute_url":"https://erpagi.com/blog/cursor-ai-setup-tutorial-beginners-2025-en/","title":"Cursor AI Setup Tutorial for Beginners in 2025","summary":"A comprehensive guide to installing Cursor IDE, configuring advanced .cursorrules parameters, leveraging automated agent workflows, and implementing essential security protocols for safe AI-assisted development in 2025.","lang":"en","content_type":"ts","topic_key":"cursor_ai_setup_tutorial_beginners_2025","keywords":["cursor_ai_setup_tutorial_beginners_2025","Getting Started with the Cursor IDE Environment","Advanced Configuration and Token Management","Automating Workflows with the Integrated Agent","Security Protocols and Realistic Performance Expectations"],"published_at":"2026-07-15T22:47:44.857Z","updated_at":"2026-07-15T23:07:44.857Z","source_urls":["https://docs.cursor.com/getting-started/introduction","https://docs.cursor.com/advanced/configuration","https://www.cursor.com/blog/cursor-agent-release","https://security.googleblog.com/2024/05/ai-code-assistants-security-considerations.html","https://github.com/swe-bench/SWE-bench"],"claim_count":2,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"cursor-ai-setup-tutorial-beginners-2025-ko","url":"/blog/cursor-ai-setup-tutorial-beginners-2025-ko/","absolute_url":"https://erpagi.com/blog/cursor-ai-setup-tutorial-beginners-2025-ko/","title":"Cursor AI IDE 2025 초보자 완벽 가이드: 설치부터 보안 검증까지","summary":"Cursor IDE는 2분 내 설치가 가능한 VS Code 기반 AI 네이티브 환경으로, .cursorrules 파일을 통해 응답 토큰을 최대 128,000까지 확장하고 코드 스타일을 강제할 수 있습니다. Agent 기능은 반복 작업을 줄이지만, 보안 취약점 및 레거시 시스템 한계를 고려해 정적 분석과 수동 검증을 병행해야 합니다.","lang":"ko","content_type":"ts","topic_key":"cursor-ai-setup-tutorial","keywords":["cursor-ai-setup-tutorial","Cursor IDE 기본 설치 및 환경 구축",".cursorrules를 통한 AI 응답 토큰 및 코드 스타일 최적화","Cursor Agent 도입 시 고려사항 및 보안 검증 프로세스","초보자를 위한 실전 활용 전략 및 학습 로드맵"],"published_at":"2026-07-15T22:44:44.857Z","updated_at":"2026-07-15T23:07:44.857Z","source_urls":["https://docs.cursor.com/getting-started/introduction","https://docs.cursor.com/advanced/configuration","https://www.cursor.com/blog/cursor-agent-release","https://security.googleblog.com/2024/05/ai-code-assistants-security-considerations.html","https://github.com/swe-bench/SWE-bench"],"claim_count":2,"faq_count":2,"section_count":4,"has_evidence":true},{"id":"how-to-use-claude-projects-for-work-productivity-en","url":"/blog/how-to-use-claude-projects-for-work-productivity-en/","absolute_url":"https://erpagi.com/blog/how-to-use-claude-projects-for-work-productivity-en/","title":"Mastering Claude Projects for Enterprise Work Productivity","summary":"Claude Projects enables structured knowledge management through strict context boundaries and explicit API scoping. By leveraging project isolation and standardized workflows, organizations can achieve measurable efficiency gains while maintaining data security and computational stability across complex operational environments.","lang":"en","content_type":"ts","topic_key":"claude-projects-productivity","keywords":["claude-projects-productivity","Architectural Foundation and Context Management","API Integration and Latency Optimization","Workflow Standardization and Automation Pipelines","Strategic Implementation Matrix and Resource Allocation","Operational Best Practices and Risk Mitigation"],"published_at":"2026-07-15T09:22:33.161Z","updated_at":"2026-07-15T09:40:33.161Z","source_urls":["https://docs.anthropic.com/en/docs/build-with-claude/projects/overview","https://github.com/anthropics/anthropic-sdk-python","https://docs.anthropic.com/en/reference/messages/create-message","https://arxiv.org/abs/2402.13177","https://www.anthropic.com/engineering/building-effective-agents"],"claim_count":4,"faq_count":3,"section_count":5,"has_evidence":true},{"id":"perplexity-ai-vs-chatgpt-vs-google-search-comparison-ko","url":"/blog/perplexity-ai-vs-chatgpt-vs-google-search-comparison-ko/","absolute_url":"https://erpagi.com/blog/perplexity-ai-vs-chatgpt-vs-google-search-comparison-ko/","title":"Perplexity AI vs ChatGPT vs Google Search: 성능과 신뢰성 비교 분석","summary":"AI 검색 도구는 전통 엔진 대비 정확도 68% 향상과 속도 3.5배 개선을 보였으나, citation 누락 시 오류율 41% 증가 등 신뢰성 관리가 필수적입니다. 플랫폼별 citation 제공 수와 API 한계를 고려해 목적에 맞게 선택해야 합니다.","lang":"ko","content_type":"ts","topic_key":"ai_search_comparison","keywords":["ai_search_comparison","ERPAGI Original Data — 최근 30일 커뮤니티 관찰","AI 검색 엔진의 핵심 성능 비교","출처 Citation의 신뢰성 및 한계 분석","플랫폼별 실전 적용 시나리오"],"published_at":"2026-07-15T03:01:46.853Z","updated_at":"2026-07-15T03:19:46.853Z","source_urls":["https://platform.openai.com/docs/guides/search","https://docs.perplexity.ai/","https://blog.google/products/search/google-ai-overviews-search/","https://arxiv.org/abs/2310.16897","https://www.ftc.gov/news-events/news/press-releases/2024/07/federal-trade-commission-reports-ai-search-tools-misleading-consumers","https://llmpulse.ai/blog/glossary/aeo-answer-engine-optimization/","https://x.com/DrSandeepRana1","https://www.reddit.com/r/seogrowth/comments/1virkec/where_can_i_learn_seo_in_2026_everything_i_find/","https://www.youtube.com/watch?v=SdcNfrd9cqk","https://www.instagram.com/p/Da8bGYlo4wB/","https://x.com/tomcrawshaw01/status/2084997129957732561","https://www.reddit.com/r/DigitalMarketing/comments/1vaqhqg/is_ai_replacing_traditional_digital_marketing/","https://www.youtube.com/watch?v=avPfpHkp_YI","https://www.linkedin.com/posts/prestondmiller_seo-is-becoming-a-citation-game-heres-activity-7487970380876316673-VWkV","https://x.com/bloggersarvesh/status/2080643945017868708","https://www.reddit.com/r/b2bmarketing/comments/1vgzfr9/b2b_seo_newbie_struggling_to_figure_out_where_to/","https://www.youtube.com/watch?v=nCn5ZvpVcGg","https://www.instagram.com/p/DbkxdK_CII7/","https://x.com/alexgroberman/status/2086116710189527460/photo/3","https://www.reddit.com/r/seogrowth/comments/1vinsvl/anyone_feel_like_new_domains_are_super_hard_to/","https://www.youtube.com/watch?v=n-4haLYhZnQ","https://www.instagram.com/reel/Db1diQkgjvP/","https://x.com/alexgroberman/status/2085750923327107196","https://www.reddit.com/r/localseo/comments/1vistu2/after_4_months_of_seo_for_a_client_the_results/","https://www.youtube.com/watch?v=jW8hYUn99Uk","https://www.facebook.com/SearchEngineJournal/posts/i-read-perplexitys-raw-answer-stream-to-see-how-it-picks-sources-which-domains-g/1523923313111447/","https://x.com/alexgroberman/status/2085750923327107196/photo/2","https://www.reddit.com/r/IndieHackLab/comments/1vdf1wg/how_to_generate_seo_pages/","https://www.youtube.com/watch?v=jke34lA9HpY"],"claim_count":4,"faq_count":1,"section_count":4,"has_evidence":true},{"id":"perplexity-ai-vs-chatgpt-vs-google-search-comparison-en","url":"/blog/perplexity-ai-vs-chatgpt-vs-google-search-comparison-en/","absolute_url":"https://erpagi.com/blog/perplexity-ai-vs-chatgpt-vs-google-search-comparison-en/","title":"Perplexity AI vs ChatGPT vs Google Search: A Data-Driven Comparison","summary":"AI search platforms now outperform traditional engines in speed and factual accuracy, yet citation reliability remains a critical vulnerability. Data indicates a 68% improvement in factual precision and a 3.5x faster response time compared to legacy systems. However, regulatory findings warn that approximately 23% of AI outputs contain inaccuracies, with error rates spiking by 41% when citations are omitted. Platform selection should hinge on citation density, API rate limits, and domain-specific verification needs.","lang":"en","content_type":"ts","topic_key":"ai_search_comparison","keywords":["ai_search_comparison","ERPAGI Original Data — Last 30 Days","Performance Benchmarks and Latency Analysis","Citation Density and Verification Reliability","Error Rates and Regulatory Compliance Warnings"],"published_at":"2026-07-15T02:37:46.853Z","updated_at":"2026-07-15T03:19:46.853Z","source_urls":["https://platform.openai.com/docs/guides/search","https://docs.perplexity.ai/","https://blog.google/products/search/google-ai-overviews-search/","https://arxiv.org/abs/2310.16897","https://www.ftc.gov/news-events/news/press-releases/2024/07/federal-trade-commission-reports-ai-search-tools-misleading-consumers","https://llmpulse.ai/blog/glossary/aeo-answer-engine-optimization/","https://x.com/DrSandeepRana1","https://www.reddit.com/r/seogrowth/comments/1virkec/where_can_i_learn_seo_in_2026_everything_i_find/","https://www.youtube.com/watch?v=SdcNfrd9cqk","https://www.instagram.com/p/Da8bGYlo4wB/","https://x.com/tomcrawshaw01/status/2084997129957732561","https://www.reddit.com/r/DigitalMarketing/comments/1vaqhqg/is_ai_replacing_traditional_digital_marketing/","https://www.youtube.com/watch?v=avPfpHkp_YI","https://www.linkedin.com/posts/prestondmiller_seo-is-becoming-a-citation-game-heres-activity-7487970380876316673-VWkV","https://x.com/bloggersarvesh/status/2080643945017868708","https://www.reddit.com/r/b2bmarketing/comments/1vgzfr9/b2b_seo_newbie_struggling_to_figure_out_where_to/","https://www.youtube.com/watch?v=nCn5ZvpVcGg","https://www.instagram.com/p/DbkxdK_CII7/","https://x.com/alexgroberman/status/2086116710189527460/photo/3","https://www.reddit.com/r/seogrowth/comments/1vinsvl/anyone_feel_like_new_domains_are_super_hard_to/","https://www.youtube.com/watch?v=n-4haLYhZnQ","https://www.instagram.com/reel/Db1diQkgjvP/","https://x.com/alexgroberman/status/2085750923327107196","https://www.reddit.com/r/localseo/comments/1vistu2/after_4_months_of_seo_for_a_client_the_results/","https://www.youtube.com/watch?v=jW8hYUn99Uk","https://www.facebook.com/SearchEngineJournal/posts/i-read-perplexitys-raw-answer-stream-to-see-how-it-picks-sources-which-domains-g/1523923313111447/","https://x.com/alexgroberman/status/2085750923327107196/photo/2","https://www.reddit.com/r/IndieHackLab/comments/1vdf1wg/how_to_generate_seo_pages/","https://www.youtube.com/watch?v=jke34lA9HpY"],"claim_count":4,"faq_count":3,"section_count":4,"has_evidence":true},{"id":"how-to-run-llama-3-locally-ollama-mac-windows-en","url":"/blog/how-to-run-llama-3-locally-ollama-mac-windows-en/","absolute_url":"https://erpagi.com/blog/how-to-run-llama-3-locally-ollama-mac-windows-en/","title":"How to Run Llama 3 Locally with Ollama on Mac and Windows","summary":"Running Llama 3 locally with Ollama offers a powerful solution for developers seeking privacy and control over their AI infrastructure. The process involves pulling the model via `ollama pull llama3`, where users can choose between 8B and 70B parameter sizes. For most consumer hardware, the Q4_K_M quantization is recommended as it requires approximately ~5GB of VRAM or RAM for inference, striking a balance between performance and resource usage. macOS users benefit from native GPU acceleration via the Metal API, ensuring efficient deployment on Apple Silicon devices. In contrast, Windows users must utilize WSL2 with CUDA 12.x or rely on DirectML fallback, as native Windows CUDA support is not yet available. It is critical to avoid quantization levels below Q4_K_M, as this can cause over >15% perplexity degradation in benchmark tests, severely impacting model quality. Furthermore, users must implement strict prompt constraints to prevent safety violations and account for factual drift past the training cutoff date.","lang":"en","content_type":"ts","topic_key":"llama3_local_ollama_mac_win","keywords":["llama3_local_ollama_mac_win","Introduction to Local Deployment with Ollama & Llama 3 Overview","macOS Deployment Strategy & Apple Silicon Acceleration","Windows Configuration via WSL2 and CUDA Requirements","Hardware Specifications & Quantization Impact Analysis","Safety Constraints, Limitations & Prompt Engineering"],"published_at":"2026-07-13T22:53:54.769Z","updated_at":"2026-07-13T23:30:54.769Z","source_urls":["https://ollama.com/library/llama3","https://github.com/ollama/ollama","https://github.com/ollama/ollama/blob/main/docs/windows.md","https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct","https://llama.meta.com/docs/model-cards-and-prompt-formats/meta-llama-3/"],"claim_count":5,"faq_count":2,"section_count":5,"has_evidence":true},{"id":"2026-07-14-cursor-ai-1-ko","url":"/blog/2026-07-14-cursor-ai-1-ko/","absolute_url":"https://erpagi.com/blog/2026-07-14-cursor-ai-1-ko/","title":"Cursor AI 팀 요금제: 1인 개발자가 알아야 할 무료 티어 사용량 제한","summary":"Cursor AI는 무료 및 유료 요금제를 제공하며, 무료 티어는 제한된 Agent 요청과 Tab 완성을 포함합니다. 1인 개발자는 자신의 사용 패턴에 따라 요금제를 선택해야 하며, 유료 요금제는 더 높은 사용 한도와 추가 기능을 제공합니다.","lang":"ko","content_type":"pseo","topic_key":"cursor-ai-1","keywords":["cursor-ai-1","Cursor AI","무료 티어 사용량 제한","1인 개발자","Cursor AI의 요금제 및 가격","무료 티어의 제한 사항","유료 요금제의 혜택","결제 및 보안"],"published_at":"2026-07-13T21:32:01.265500Z","updated_at":"2026-07-13T21:32:01.265500Z","source_urls":["https://cursor.com/pricing"],"claim_count":5,"faq_count":4,"section_count":4,"has_evidence":true},{"id":"2026-07-13-github-copilot-vs-en","url":"/blog/2026-07-13-github-copilot-vs-en/","absolute_url":"https://erpagi.com/blog/2026-07-13-github-copilot-vs-en/","title":"GitHub Copilot Pricing for Agencies and External Teams: Annual vs. Monthly Plans","summary":"This page provides a detailed breakdown of GitHub Copilot's pricing plans, focusing on the differences between annual and monthly billing cycles, and highlights the best value options for agencies and external teams managing multiple developers.","lang":"en","content_type":"pseo","topic_key":"github-copilot-vs","keywords":["github-copilot-vs","GitHub Copilot","연간 결제 vs 월간 결제 할인율","에이전시/외주팀","Pricing Plan Comparison","Key Features for Agencies and External Teams","Annual vs. Monthly Billing Considerations","Original Analysis for Agencies and External Teams"],"published_at":"2026-07-13T12:30:45.996126Z","updated_at":"2026-07-13T12:30:45.996126Z","source_urls":["https://github.com/features/copilot/plans"],"claim_count":5,"faq_count":0,"section_count":4,"has_evidence":true},{"id":"claude-api-vs-openai-api-pricing-rate-limits-2025-en","url":"/blog/claude-api-vs-openai-api-pricing-rate-limits-2025-en/","absolute_url":"https://erpagi.com/blog/claude-api-vs-openai-api-pricing-rate-limits-2025-en/","title":"Strategic Comparison of Claude and OpenAI API Pricing & Rate Limits for 2025 Deployments","summary":"Platform selection requires aligning workload characteristics with distinct pricing architectures and throttling frameworks. Organizations prioritizing massive prompt ingestion benefit from substantially lower input costs, while teams needing predictable throughput leverage automated tier upgrades offering significant multipliers. Strict daily consumption boundaries demand meticulous monitoring to prevent service halts, requiring robust error handling protocols that gracefully manage throttling signals and mandatory cooldown periods.","lang":"en","content_type":"ts","topic_key":"claude_vs_openai_api_pricing_rate_limits_2025","keywords":["claude_vs_openai_api_pricing_rate_limits_2025","Core Pricing Architecture & Token Economics","Rate Limit Mechanics & Throughput Scaling","Daily Constraints & Error Handling Protocols","Comparative Analysis & Strategic Selection Matrix","Implementation Best Practices & Future-Proofing"],"published_at":"2026-07-13T02:57:56.884Z","updated_at":"2026-07-13T03:34:56.884Z","source_urls":["https://openai.com/api/pricing/","https://platform.openai.com/docs/guides/rate-limits","https://www.anthropic.com/pricing","https://docs.anthropic.com/en/api/rate-limits","https://docs.anthropic.com/en/docs/about-claude/limits"],"claim_count":4,"faq_count":3,"section_count":5,"has_evidence":true},{"id":"midjourney-vs-dall-e-3-vs-stable-diffusion-2025-en","url":"/blog/midjourney-vs-dall-e-3-vs-stable-diffusion-2025-en/","absolute_url":"https://erpagi.com/blog/midjourney-vs-dall-e-3-vs-stable-diffusion-2025-en/","title":"Midjourney vs DALL-E 3 vs Stable Diffusion: A 2025 Technical Comparison","summary":"A technical breakdown revealing that Midjourney leads in upscaling capabilities beyond standard pixel limits, DALL-E 3 prioritizes safety compliance at the cost of strict API throttling, and Stable Diffusion's latest transformer models demand substantial hardware investment for local deployment.","lang":"en","content_type":"ts","topic_key":"midjourney-vs-dall-e-3-vs-stable-diffusion-2025","keywords":["midjourney-vs-dall-e-3-vs-stable-diffusion-2025","Architectural Evolution and Resolution Boundaries","Hardware Constraints and API Rate Limitations","Safety Compliance and Content Moderation Frameworks"],"published_at":"2026-07-10T23:16:42.561Z","updated_at":"2026-07-10T23:30:42.561Z","source_urls":["https://docs.midjourney.com/docs/prompting","https://platform.openai.com/docs/guides/dall-e","https://github.com/Stability-AI/generative-models","https://stability.ai/stable-diffusion","https://platform.openai.com/docs/guides/safety-policies"],"claim_count":5,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"2026-07-07-ollama-5-en","url":"/blog/2026-07-07-ollama-5-en/","absolute_url":"https://erpagi.com/blog/2026-07-07-ollama-5-en/","title":"Ollama Local/Offline Execution Hardware Requirements for Small Startups","summary":"This fact page provides Ollama's hardware requirements for local/offline execution, specifically tailored for startups with five or fewer team members. It focuses on model compatibility, resource utilization, and practical recommendations for optimal performance in resource-constrained environments.","lang":"en","content_type":"pseo","topic_key":"ollama-5","keywords":["ollama-5","Ollama","로컬/오프라인 실행 시 하드웨어 요구사항","5인 이하 스타트업","Supported Model Variants","API Features and Response Handling","Practical Recommendations for Small Startups","Original Analysis for Small Startups"],"published_at":"2026-07-06T15:05:03.656348Z","updated_at":"2026-07-06T15:05:03.656348Z","source_urls":["https://github.com/ollama/ollama/blob/main/docs/api.md"],"claim_count":4,"faq_count":4,"section_count":4,"has_evidence":true},{"id":"2026-07-04-github-copilot-ko","url":"/blog/2026-07-04-github-copilot-ko/","absolute_url":"https://erpagi.com/blog/2026-07-04-github-copilot-ko/","title":"GitHub Copilot 학생 환불 정책: 학생이 알아야 할 환불 기간 및 조건","summary":"GitHub Copilot은 학생에게 무료로 제공되며, 환불 정책은 유료 플랜에만 적용됩니다. 학생들은 환불 가능 기간 및 조건을 이해하여 효율적으로 서비스를 이용할 수 있습니다.","lang":"ko","content_type":"pseo","topic_key":"github-copilot","keywords":["github-copilot","GitHub Copilot","환불 정책 및 환불 가능 기간","학생","GitHub Copilot 학생 무료 플랜 환불 정책","유료 플랜 환불 조건 및 기간","환불 가능 사례 및 제한 사항","학생을 위한 추가 조언"],"published_at":"2026-07-03T21:31:51.247702Z","updated_at":"2026-07-03T21:31:51.247702Z","source_urls":["https://github.com/features/copilot/plans"],"claim_count":4,"faq_count":4,"section_count":4,"has_evidence":true},{"id":"2026-07-01-devin-desktop-formerly-windsurf-seat-en","url":"/blog/2026-07-01-devin-desktop-formerly-windsurf-seat-en/","absolute_url":"https://erpagi.com/blog/2026-07-01-devin-desktop-formerly-windsurf-seat-en/","title":"Devin Desktop Team Seat Pricing: What Students Need to Know","summary":"This page explains the Devin Desktop team plan pricing structure, with a focus on how it applies to students, including costs per seat, available features, and usage considerations.","lang":"en","content_type":"pseo","topic_key":"devin-desktop-formerly-windsurf-seat","keywords":["devin-desktop-formerly-windsurf-seat","Devin Desktop (formerly Windsurf)","팀 요금제 좌석(seat)당 가격","학생","Devin Desktop Pricing Plans for Teams","Key Features for Students in the Team Plan","Usage and Cost Management for Students","Original Analysis for Students"],"published_at":"2026-07-01T10:17:40.467403Z","updated_at":"2026-07-01T10:17:40.467403Z","source_urls":["https://devin.ai/pricing"],"claim_count":5,"faq_count":0,"section_count":4,"has_evidence":true},{"id":"2026-07-01-chatgpt-vs-claude-vs-gemini-best-ai-assistant-2025-en","url":"/blog/2026-07-01-chatgpt-vs-claude-vs-gemini-best-ai-assistant-2025-en/","absolute_url":"https://erpagi.com/blog/2026-07-01-chatgpt-vs-claude-vs-gemini-best-ai-assistant-2025-en/","title":"ChatGPT vs Claude vs Gemini: The Best AI Assistant of 2025 Compared","summary":"The AI landscape has evolved, with ChatGPT, Claude, and Gemini emerging as top contenders for the best AI assistant in 2025. This comparison examines their strengths, weaknesses, and ideal use cases based on community insights and real-world performance metrics.","lang":"en","content_type":"comparison","topic_key":"chatgpt-vs-claude-vs-gemini-best-ai-assistant-2025","keywords":["chatgpt-vs-claude-vs-gemini-best-ai-assistant-2025","Feature and Performance Comparison","Why Claude Leads in 2025","When to Choose ChatGPT or Gemini","Use Case Recommendations"],"published_at":"2026-07-01T04:30:05.589837Z","updated_at":"2026-07-01T04:30:05.589837Z","source_urls":["https://www.reddit.com/r/GeminiAI/comments/1tzv2h8/according_to_the_leaks/","https://www.reddit.com/r/charts/comments/1u82bl0/chatgpt_drops_below_50_market_share_of_ai/","https://www.reddit.com/r/Chatbots/comments/1tykqie/chatgpt_vs_claude_vs_gemini_what_to_use_each_for/","https://www.reddit.com/r/technology/comments/1u79t34/chatgpts_market_share_slips_below_50_for_first/","https://www.reddit.com/r/AiNoteTaker/comments/1udle1o/how_to_use_premium_ai_plans_chatgpt_plus_gemini/","https://www.reddit.com/r/consulting/comments/1u6cp4e/is_claude_the_go_to_ai_tool_to_use_in_consulting/","https://www.reddit.com/r/GeminiAI/comments/1u6sxx5/isnt_it_absurd_that_googles_own_ai_gemini_refuses/","https://www.reddit.com/r/ChatGPTcomplaints/comments/1tz70dj/those_of_you_who_used_the_gpt4_series_models_and/","https://www.reddit.com/r/AIDiscussion/comments/1u2xyuz/whats_one_ai_tool_you_use_regularly_thats_lowkey/","https://www.reddit.com/r/GeminiAI/comments/1u4pbiz/google_is_way_too_quiet_right_now_and_gemini_35/","https://x.com/hashsyedai","https://x.com/godofprompt","https://x.com/bearlyai","https://x.com/MarcosDPiaz","https://x.com/kocer_eth/status/2068714810611528103"],"claim_count":5,"faq_count":5,"section_count":4,"has_evidence":true},{"id":"openai-chatgpt-o1-reasoning-models-en","url":"/blog/openai-chatgpt-o1-reasoning-models-en/","absolute_url":"https://erpagi.com/blog/openai-chatgpt-o1-reasoning-models-en/","title":"OpenAI ChatGPT o1 Reasoning Models: Performance, Constraints & Strategic Deployment","summary":"The o1 reasoning models deliver unprecedented STEM accuracy through extended reinforcement learning deliberation but introduce substantial latency, elevated costs, and distinct failure patterns that restrict deployment to asynchronous analytical workflows rather than interactive consumer applications.","lang":"en","content_type":"ts","topic_key":"openai-chatgpt-o1-reasoning-models","keywords":["openai-chatgpt-o1-reasoning-models","Core Architecture & STEM Benchmark Performance","Latency Profiles & Operational Deployment Constraints","Failure Modes & Strategic Limitations"],"published_at":"2026-06-30T10:25:20.068Z","updated_at":"2026-06-30T10:52:20.068Z","source_urls":["https://openai.com/index/introducing-o1/","https://platform.openai.com/docs/guides/reasoning","https://github.com/openai/openai-python","https://huggingface.co/blog/openai-o1","https://www.anthropic.com/engineering/claude-on-openai-o1"],"claim_count":5,"faq_count":2,"section_count":3,"has_evidence":true},{"id":"cursor-ai-vscode-alternatives-development-en","url":"/blog/cursor-ai-vscode-alternatives-development-en/","absolute_url":"https://erpagi.com/blog/cursor-ai-vscode-alternatives-development-en/","title":"Cursor AI vs VSCode Alternatives: Performance, Privacy, and Enterprise Compliance Analysis","summary":"A comprehensive technical evaluation of Cursor AI alternatives reveals distinct trade-offs between performance optimization, data sovereignty, and enterprise compliance. 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Strategic adoption requires aligning tool capabilities with specific privacy mandates, latency tolerances, and validation workflows.","lang":"en","content_type":"ts","topic_key":"cursor-ai-vscode-alternatives","keywords":["cursor-ai-vscode-alternatives","Performance Architecture & Resource Optimization","AI Integration & Data Privacy Paradigms","Enterprise Compliance & Security Frameworks","Strategic Adoption Guidelines & Limitations"],"published_at":"2026-06-30T09:55:25.573Z","updated_at":"2026-06-30T10:39:25.573Z","source_urls":["https://zed.dev/docs","https://github.com/continuedev/continue","https://docs.github.com/en/copilot/getting-started-with-github-copilot","https://docs.aws.amazon.com/qdeveloper/latest/userguide/what-is-q-developer.html","https://arxiv.org/abs/2305.15829"],"claim_count":5,"faq_count":4,"section_count":4,"has_evidence":true},{"id":"anthropic-claude-3-5-sonnet-artifacts-en","url":"/blog/anthropic-claude-3-5-sonnet-artifacts-en/","absolute_url":"https://erpagi.com/blog/anthropic-claude-3-5-sonnet-artifacts-en/","title":"Claude 3.5 Sonnet Artifacts: Architecture, Latency, and Engineering Trade-offs","summary":"A cross-referenced technical brief on Anthropic's Artifacts capability in Claude 3.5 Sonnet, covering sandbox architecture, streaming protocol, benchmark pass-rates, latency percentiles, bundle-size failure thresholds, and prompt-engineering uplift metrics drawn from Anthropic documentation, AWS Bedrock engineering posts, arXiv studies, and GitHub community reports.","lang":"en","content_type":"ts","topic_key":"claude-35-sonnet-artifacts","keywords":["claude-35-sonnet-artifacts","Sandbox Architecture and Supported MIME Surface","Streaming Protocol, Latency Profile, and Bedrock Integration","Benchmark Pass-Rates, Failure Modes, and Prompt-Engineering Uplift","Bundle-Size Failure Threshold and Hard Limits in Practice"],"published_at":"2026-06-30T01:24:12.735Z","updated_at":"2026-06-30T01:52:12.735Z","source_urls":["https://www.anthropic.com/news/claude-3-5-sonnet","https://docs.anthropic.com/en/docs/build-with-claude/artifacts","https://www-cdn.anthropic.com/1adf000c8f675958c92f08a58c4e89a8c6a4c0a8.pdf","https://github.com/anthropics/claude-code/blob/main/CHANGELOG.md","https://aws.amazon.com/blogs/machine-learning/build-generative-ai-applications-with-claude-3-5-sonnet-on-amazon-bedrock/","https://arxiv.org/abs/2407.11016","https://github.com/anthropics/claude-artifacts-runner","https://www.anthropic.com/engineering/building-effective-agents-with-skills","https://www.reddit.com/r/ClaudeAI/comments/1dxyz20/artifacts_frequently_crashing_on_large_react_apps/","https://arxiv.org/abs/2410.01942"],"claim_count":8,"faq_count":5,"section_count":4,"has_evidence":true},{"id":"apple-intelligence-wwdc-2026-en","url":"/blog/apple-intelligence-wwdc-2026-en/","absolute_url":"https://erpagi.com/blog/apple-intelligence-wwdc-2026-en/","title":"Apple Intelligence at WWDC 2026: Architecture, Privacy Boundaries, and Hardware Gating","summary":"Apple's WWDC 2026 keynote (June 9) expanded Apple Intelligence across iOS 27, iPadOS 27, and macOS 27 'Golden Gate', built on a bifurcated Apple Foundation Model (AFM) stack of an approximately 3B on-device model and a 128k-context Private Cloud Compute server model, with Siri AI, Image Playground 2.0, and a Foundation Models SDK as developer-facing surfaces. Official documentation and Apple's ML research attest the privacy posture through iBoot/OS cryptographic attestation, while independent reporting flags a roughly 1-in-10,000 ChatGPT fallback path that is not end-to-end auditable, leaving an unresolved trust gap that practitioners should weigh against the system's hardware-gated rollout to A17 Pro and newer devices.","lang":"en","content_type":"ts","topic_key":"apple-intelligence-wwdc-2026","keywords":["apple-intelligence-wwdc-2026","Bifurcated Foundation Model Stack: On-Device AFM versus Private Cloud Compute","Private Cloud Compute Attestation Chain and the 1-in-10,000 ChatGPT Fallback Gap","Developer Surfaces: Foundation Models SDK, Siri AI Personal Context, and Image Playground 2.0","Hardware Gating, Context-Length Trade-Offs, and Where the Trust Boundary Actually Moves"],"published_at":null,"updated_at":null,"source_urls":["https://www.apple.com/newsroom/","https://developer.apple.com/wwdc26/","https://machinelearning.apple.com/research/","https://security.apple.com/blog/private-cloud-compute/","https://arxiv.org/abs/2407.21075","https://techcrunch.com/2026/06/09/apple-wwdc-2026-everything-announced/","https://www.theverge.com/2026/6/9/wwdc-2026-news","https://www.wired.com/story/apple-intelligence-wwdc-2026-privacy-questions/"],"claim_count":7,"faq_count":4,"section_count":4,"has_evidence":true},{"id":"apple-intelligence-wwdc-2026-ko","url":"/blog/apple-intelligence-wwdc-2026-ko/","absolute_url":"https://erpagi.com/blog/apple-intelligence-wwdc-2026-ko/","title":"Apple Intelligence WWDC 2026: 이중 AFM 아키텍처와 검증되지 않은 ChatGPT 폴백의 경계","summary":"WWDC 2026의 Apple Intelligence는 온디바이스 ~3B 파라미터 AFM과 Private Cloud Compute(PCC) 서버 모델의 이중 구조로 출시되었으며, PCC는 1.14.0 iBoot/OS 이미지를 암호학적 증명하지만, 약 1/10,000 비율의 ChatGPT 폴백 경로는 종단 감사 가능성이 부족합니다.","lang":"ko","content_type":"ts","topic_key":"apple-intelligence-wwdc-2026","keywords":["apple-intelligence-wwdc-2026","WWDC 2026 키노트 구조와 Apple Intelligence 발표 범위","이중 AFM 아키텍처: ~3B 온디바이스 모델과 PCC 서버 모델의 트레이드오프","Foundation Models 프레임워크 실전 호출 패턴과 디바이스 게이팅","ChatGPT 폴백의 비대칭 프라이버시 경계: PCC 증명과 감사 불가능 구간","디바이스 단편화와 3B AFM의 현실적 한계"],"published_at":null,"updated_at":null,"source_urls":["https://www.apple.com/newsroom/","https://developer.apple.com/wwdc26/","https://machinelearning.apple.com/research/","https://security.apple.com/blog/private-cloud-compute/","https://arxiv.org/abs/2407.21075","https://techcrunch.com/2026/06/09/apple-wwdc-2026-everything-announced/","https://www.theverge.com/2026/6/9/wwdc-2026-news","https://www.wired.com/story/apple-intelligence-wwdc-2026-privacy-questions/"],"claim_count":7,"faq_count":5,"section_count":5,"has_evidence":true},{"id":"astro-cloudflare-tutorial","url":"/blog/astro-cloudflare-tutorial/","absolute_url":"https://erpagi.com/blog/astro-cloudflare-tutorial/","title":"Astro on Cloudflare: The Ultimate Deployment Guide","summary":"This guide covers everything you need to know about deploying Astro static sites to Cloudflare Pages.","lang":"en","content_type":"ts","topic_key":"Astro Cloudflare Tutorial","keywords":["Astro Cloudflare Tutorial","Introduction to Astro","Deploying to Cloudflare"],"published_at":null,"updated_at":null,"source_urls":["https://docs.astro.build/en/guides/deploy/cloudflare/"],"claim_count":2,"faq_count":1,"section_count":2,"has_evidence":true},{"id":"astro-cloudflare-pages","url":"/blog/astro-cloudflare-pages/","absolute_url":"https://erpagi.com/blog/astro-cloudflare-pages/","title":"Astro와 Cloudflare Pages 결합의 아키텍처 가치와 엣지 플랫폼의 현실적 제약","summary":"Astro의 Islands 아키텍처는 최소 JS 페이로드로 엣지 SSR 비용을 절감하지만, Cloudflare Images 바인딩의 유료 전환 임계치와 빌드 동시성 1개 제한이 실무 운영에서 명확한 트레이드오프로 작용한다.","lang":"en","content_type":"ts","topic_key":"astro-cloudflare-pages","keywords":["astro-cloudflare-pages","6.7KB JS 페이로드가 만드는 엣지 과금 모델의 구조적 이점","어댑터 설치와 Cloudflare Pages 런타임 모드 분기","Cloudflare Images 바인딩 비용 임계치와 무료 티어 회귀의 트레이드오프","2024년 인시던트가 드러낸 엣지 빌드 플랫폼의 가용성 리스크","실전 운영을 위한 CLI 워크플로우와 핵심 설정 코드","도입 시 반드시 검토해야 할 비용·성능·신뢰성 트레이드오프"],"published_at":null,"updated_at":null,"source_urls":["https://docs.astro.build/en/guides/integrations-guide/cloudflare/","https://github.com/withastro/adapters/tree/main/packages/cloudflare","https://developers.cloudflare.com/pages/get-started/","https://arxiv.org/abs/2308.00045","https://astro.build/blog/astro-5/","https://www.cloudflarestatus.com/","https://github.com/withastro/adapters/issues/98"],"claim_count":6,"faq_count":4,"section_count":6,"has_evidence":true}],"facets":{"languages":["en","ko"],"content_types":["comparison","pseo","ts"]}}