[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-harness-engineering":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"3a0b7dff-6759-447d-ba83-8bad5b3acadc","Harness Engineering","harness-engineering",9,"Harness Engineering 指的是包住 LLM 的外層系統設計：流程編排、狀態隔離、工具介接、記憶管理與失敗回復。它決定代理能否穩定跑長任務、避免上下文污染，並把模型能力轉成可上線的工程系統。","Harness engineering is the layer around an LLM that shapes how it runs: orchestration, state isolation, tool access, memory handling, and recovery paths. It matters because these controls decide whether agents can handle long tasks reliably and ship as production systems.",[12,21,29,37,44],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"fcc8d167-dc0f-4514-8d6b-4f4230547616","prompt-to-harness-ai-engineering-shift-zh","從 Prompt 到 Harness 工程","OpenAI 透露，一個 3 人團隊用 Codex、5 個月，合併約 1,500 個 PR，做出超過 100 萬行程式碼的產品。重點不在寫 prompt，而是怎麼設計讓 AI 能穩定工作的 harness。","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775630042932-7zhw.png","zh","2026-04-08T06:33:43.724227+00:00",{"id":22,"slug":23,"title":24,"summary":25,"category":26,"image_url":27,"cover_image":27,"language":19,"created_at":28},"35b17db6-a915-4a3c-87c6-733fbb7f5a31","harness-engineering-long-running-multi-agent-systems-zh","長跑型多代理系統的 Harness 設計","長跑型多代理系統最怕記憶污染。這篇看 Harness Engineering 怎麼用新 process、JSON 任務與 Claude Code，切開 Planner 和 Generator。","ai-agent","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775629509415-9j0g.png","2026-04-08T06:24:33.356723+00:00",{"id":30,"slug":31,"title":32,"summary":33,"category":34,"image_url":35,"cover_image":35,"language":19,"created_at":36},"44b25589-877f-4d11-9987-9b29f2bdf2e7","claude-code-harness-engineering-design-zh","Claude Code 的 Harness 工程思路","Claude Code 把 MCP、Skills、Hooks 和 Subagents 直接端上檯面，讓人看到 Anthropic 怎麼把 Harness Engineering 做進產品。","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775113337940-qsjx.png","2026-04-02T05:21:31.088419+00:00",{"id":38,"slug":39,"title":40,"summary":41,"category":17,"image_url":42,"cover_image":42,"language":19,"created_at":43},"bc3cc36d-ee23-4731-8583-3517df995e09","agent-harness-ai-engineering-2026-zh","Agent Harness 正在定義 AI 工程","Martin Fowler、Anthropic、OpenAI 都指向同一件事：LLM 能不能上線，不只看模型，還看外層的 harness。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775057899717-8ljm.png","2026-04-01T10:15:34.775599+00:00",{"id":45,"slug":46,"title":47,"summary":48,"category":26,"image_url":49,"cover_image":49,"language":19,"created_at":50},"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"]