[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-glm-5-kill-vibe-coding-agent-engineering-zh":3,"article-related-glm-5-kill-vibe-coding-agent-engineering-zh":31,"series-ai-agent-bd553163-18b3-46ba-b285-2a87d2ebbb71":80},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":23,"views":27,"created_at":28,"published_at":29,"topic_cluster_id":30},"bd553163-18b3-46ba-b285-2a87d2ebbb71","glm-5-kill-vibe-coding-agent-engineering-zh","GLM-5 對了：該殺掉 vibe coding，改做 agent engin…","\u003Cp data-speakable=\"summary\">GLM-5 說得對，AI 開發必須從 \u003Ca href=\"\u002Ftag\u002Fvibe-coding\">vibe coding\u003C\u002Fa> 轉向 agent engineering。\u003C\u002Fp>\u003Cp>GLM-5 對 vibe coding 的否定是必要的，因為一旦 AI 要跨步驟規劃、呼叫工具、保留狀態並完成\u003Ca href=\"\u002Fnews\u002Floop-engineering-claude-code-workflow-zh\">工作\u003C\u002Fa>，靠靈感式調 prompt 就不夠了。它的系列化版本敘事，從 GLM-5 到 GLM-5.1、GLM-5.2，傳達的其實是同一件事：\u003Ca href=\"\u002Fnews\u002Flifescibench-tests-biotech-models-zh\">模型\u003C\u002Fa>不該只被當成聊天介面，而要被當成可交付、可維運的系統來設計。\u003C\u002Fp>\u003Ch2>第一個論點\u003C\u002Fh2>\u003Cp>vibe coding 只適合原型，不適合交付。當代理人要處理工具調用、錯誤復原、長任務上下文時，直覺式提示詞會立刻暴露脆弱性。\u003Ca href=\"\u002Ftag\u002Fopenai\">OpenAI\u003C\u002Fa>、\u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa> 這類團隊近年反覆強調 evals、tool use、memory 與 workflow，原因很簡單：只靠 prompt，系統不會穩定重現同一結果。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782223378474-8fp8.png\" alt=\"GLM-5 對了：該殺掉 vibe coding，改做 agent engin…\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>軟體史也一再證明，先有靈感、後有工程。早期 Web、雲端自動化、行動 App 都曾經靠粗糙試驗起步，但真正能上線的產品，最後都回到架構、測試、觀測性與版本控制。GLM-5 把這個老道理重新說一遍，重點不是姿態，而是把 AI 代理的評估標準從「第一次看起來很強」改成「第 100 次還能做對」。\u003C\u002Fp>\u003Ch2>第二個論點\u003C\u002Fh2>\u003Cp>vibe coding 最大的問題，是它依賴隱性知識。A 工程師找到某句神奇提示詞，B 工程師照抄卻得到不同輸出，因為隱藏狀態、工具順序或上下文\u003Ca href=\"\u002Fnews\u002Fsia-openai-partner-network-enterprise-ai-services-game-zh\">已經變\u003C\u002Fa>了。這不是方法論，而是口耳相傳的巫術。agent engineering 的價值，在於把任務分解、工具政策、記憶邊界與控制流程都顯性化，讓行為可以檢查、比較、測試。\u003C\u002Fp>\u003Cp>對開源來說，這種轉向更重要。\u003Ca href=\"\u002Ftag\u002Fgithub\">GitHub\u003C\u002Fa> 上的專案能否被重用，不取決於 prompt 有多神，而取決於行為是否可讀、可量測、可修改。GLM-5 被包裝成一個系列，而不是單次奇蹟發表，反而是好訊號，因為它暗示團隊知道 \u003Ca href=\"\u002Ftag\u002Fagentic-ai\">agentic AI\u003C\u002Fa> 靠的是迭代與紀律，不是一次性的話術。\u003C\u002Fp>\u003Ch2>反方可能怎麼說\u003C\u002Fh2>\u003Cp>最強的反對意見是速度。vibe coding 讓小團隊能快速試錯，不必先搭完整架構，就能看見產品雛形。對每週都在變的 AI 領域，這種低成本探索很重要。太早導入工程化，會把團隊綁死在過度設計裡，錯過真正的使用者需求。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782223375200-bw29.png\" alt=\"GLM-5 對了：該殺掉 vibe coding，改做 agent engin…\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>另一個合理擔憂是，agent engineering 可能淪為形式主義。團隊還沒找到明確問題，就先加記憶、規劃器、評估器與工具層，最後只是在技術上堆疊儀式感，掩蓋產品思考不足。若模型本身還不夠穩，任何華麗架構都只是把失敗包裝得更精緻。\u003C\u002Fp>\u003Cp>這些批評成立，但只能界定邊界，不能推翻方向。vibe coding 應該留在探索階段，agent engineering 則是交付階段的標配。真正的錯誤，是把前者當成永久工作流。只要系統開始代表使用者做事，團隊就必須接受結構化設計，否則失敗不是例外，而是產品本身的一部分。\u003C\u002Fp>\u003Ch2>你能做什麼\u003C\u002Fh2>\u003Cp>如果你是工程師，別再把代理行為當成 prompt 手藝，改成軟體設計問題來做：定義工具契約、加上 eval、記錄每次動作、把失敗狀態顯性化。如果你是 PM 或創辦人，請把探索與交付切開，先用 vibe coding 找價值，再在流程碰到真實使用者、真實資料、真實金額時，立刻投入 agent engineering。這才是 AI 從 demo 變成產品的分水嶺。\u003C\u002Fp>","GLM-5 釋出了一個清楚訊號：AI 開發不能再停留在 vibe coding，必須轉向可驗證、可維護的 agent engineering。","aitoolly.com","https:\u002F\u002Faitoolly.com\u002Fai-news\u002Farticle\u002F2026-06-20-glm-5-series-unveiled-transitioning-from-vibe-coding-to-advanced-agent-engineering-in-ai-development",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782223378474-8fp8.png","ai-agent","zh","020c80c8-c92f-4f7b-a175-0cb29bd1b8c7",[17,18,19,20,21,22],"GLM-5","vibe coding","agent engineering","AI 代理","可觀測性","評估系統",[24,25,26],"GLM-5 的重點不是更會聊天，而是把 AI 開發拉回可交付、可維運的工程方法。","vibe coding 適合探索，不適合承擔跨步驟、跨工具、跨狀態的生產工作。","真正的競爭力來自 agent engineering：把流程、評估、記憶與工具使用變成可驗證系統。",0,"2026-06-23T14:02:23.769355+00:00","2026-06-23T14:02:23.757+00:00","e3b68196-9e64-4c18-a3b6-a73e73bfb367",{"tags":32,"relatedLang":39,"relatedPosts":43},[33,35,37],{"name":20,"slug":34},"ai-代理",{"name":18,"slug":36},"vibe-coding",{"name":17,"slug":38},"glm-5",{"id":15,"slug":40,"title":41,"language":42},"glm-5-kill-vibe-coding-agent-engineering-en","GLM-5 Is Right to Kill Vibe Coding and Push Agent Engineering","en",[44,50,56,62,68,74],{"id":45,"slug":46,"title":47,"cover_image":48,"image_url":48,"created_at":49,"category":13},"c615cb9a-1006-4f70-ae81-c0bc61b85dee","loop-engineering-claude-code-workflow-zh","Loop Engineering：Claude Code 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