[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-context-engineering":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"9b9620bc-88cd-4db8-866e-5ecbc6a604e4","context engineering","context-engineering",3,"Context Engineering 指的是替 AI 系統與 Agent 設計、整理、注入與回收上下文的工程方法，重點在提示、記憶、工具狀態與權限邊界。它決定模型能否在真實工作流中保持穩定、可控與可重現。","Context engineering is the practice of shaping what an AI system sees, remembers, and can act on: prompts, long-term memory, tool state, and access boundaries. It matters because reliable agents depend less on raw model size than on the context they are given and how it is managed.",[12,21,29],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"4a829d2a-24a3-42dd-8be4-49e5ab35435a","why-prompt-engineering-is-wrong-about-2026-zh","為什麼 2026 年 prompt engineering 錯了","2026 年真正決定 AI 輸出品質的不是 prompt 技巧，而是 context engineering；結構化輸入、範例與工具串接，才是降低錯誤與提升可重複性的關鍵。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780661884287-ow45.png","zh","2026-06-05T12:17:19.813402+00:00",{"id":22,"slug":23,"title":24,"summary":25,"category":26,"image_url":27,"cover_image":27,"language":19,"created_at":28},"8a126231-b5e1-4c89-a338-73d1d73148ff","why-prompt-engineering-is-dead-for-ai-agents-zh","為什麼 AI Agent 時代，Prompt Engineering 已經死了","AI Agent 的關鍵不在於把提示詞寫得更漂亮，而在於把上下文選對、排好、壓縮好；context engineering 才是可靠性的核心。","ai-agent","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778184658982-xgnl.png","2026-05-07T20:10:24.866536+00:00",{"id":30,"slug":31,"title":32,"summary":33,"category":26,"image_url":34,"cover_image":34,"language":19,"created_at":35},"48c9889e-86df-450b-a356-e4a4b7c83c5b","harness-engineering-ai-agent-reliability-2026-zh","駕馭工程：從「馬具」到「作業系統」，AI Agent 可靠性的終極密碼","Harness Engineering 是設計 AI Agent 外部控制框架的工程實踐，透過上下文工程、架構約束和垃圾回收，將不穩定的大模型轉變為可靠的生產系統。2026 年，決定 Agent 成敗的關鍵不是模型本身，而是包裹它的馬具。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774940070981-vjgu.png","2026-03-31T06:42:53.556721+00:00"]