[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-openai-codex-app-feature-tour-2026-zh":3,"tags-openai-codex-app-feature-tour-2026-zh":27,"related-lang-openai-codex-app-feature-tour-2026-zh":28,"related-posts-openai-codex-app-feature-tour-2026-zh":32,"series-tools-2f33e665-dbac-443a-87f0-15f6fda191b2":69},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":9,"image_url":10,"keywords":11,"language":17,"translated_content":9,"views":18,"is_premium":19,"created_at":20,"updated_at":20,"cover_image":10,"published_at":20,"rewrite_status":21,"rewrite_error":9,"rewritten_from_id":9,"slug":22,"category":23,"related_article_id":24,"status":25,"google_indexed_at":26,"x_posted_at":9,"tweet_text":9,"title_rewritten_at":9,"title_original":9,"key_takeaways":9,"topic_cluster_id":9,"embedding":9,"is_canonical_seed":19},"2f33e665-dbac-443a-87f0-15f6fda191b2","OpenAI Codex APP 完整功能盤點","\u003Cp>OpenAI 的 Codex APP 在 2026 年已經不是傳統意義上的程式碼助手。它把作業系統級的沙盒、Git 整合、雲端執行環境、Skills 與 MCP 全部組裝在一個桌面應用裡，使其成為目前功能最齊全的 AI Agent 客戶端之一，甚至在多項使用情境上超越 \u003Ca href=\"\u002Ftag\u002Fclaude-code\">Claude Code\u003C\u002Fa>。\u003C\u002Fp>\n\n\u003Cp>下面整理 Codex APP 目前已釋出的核心功能，並說明它與 Claude Code 在設計哲學上最關鍵的差異。\u003C\u002Fp>\n\n\u003Ch2>沙盒不是選項，是地基\u003C\u002Fh2>\n\n\u003Cp>Codex 與 Claude Code 最根本的差別，在於沙盒的角色。Claude Code 的沙盒是「可選擇額外開啟」的保護層；Codex 的沙盒則是整套權限系統的地基。Codex 將當前專案資料夾本身視為沙盒，預設允許讀寫資料夾內所有檔案，但禁止修改沙盒外的檔案、也禁止聯網。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777620219082-601e.png\" alt=\"OpenAI Codex APP 完整功能盤點\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\n\n\u003Cp>關鍵在於這兩條限制不是靠模型自律遵守，而是透過作業系統底層機制實作 — 例如 macOS 使用內建的 Seatbelt Sandbox。當 Codex 需要超出沙盒的操作（escalate）時，會主動向使用者申請權限。\u003C\u002Fp>\n\n\u003Cp>權限有三檔：純手動審批、自動審查（小模型先評估風險，低風險直接放行）、完全訪問。官方與多數使用者都建議第二檔 — 在安全與便利間取得平衡。\u003C\u002Fp>\n\n\u003Ch2>Plan Mode、Steer 與多任務並行\u003C\u002Fh2>\n\n\u003Cp>Codex 採用三欄式介面：左側任務列表、中間對話、右側多功能面板（瀏覽器、批註、檔案樹）。多個專案可同時運行，任務以圓點顏色顯示狀態 — 灰色執行中、綠色等待批准、藍色已完成。\u003C\u002Fp>\n\n\u003Cp>另兩個關鍵能力是 \u003Cstrong>Plan Mode\u003C\u002Fstrong> 與 \u003Cstrong>Steer\u003C\u002Fstrong>。Plan Mode 讓 Codex 不立即動手，而是先以問題卡片與使用者確認顆粒度與方向；Steer（中文常譯為「引導」）則允許在 AI 執行中途接管方向盤、修正其理解錯誤的部分，而不必等整個任務跑完才修正。對複雜任務而言，這兩個功能直接決定產出品質。\u003C\u002Fp>\n\n\u003Ch2>Git Worktree 與雲端執行：並行開發成為日常\u003C\u002Fh2>\n\n\u003Cp>Codex 對 Git 的整合相當深。它支援直接在 UI 上建立 Git Worktree — 把專案完整複製到新資料夾並掛上獨立分支，讓多個 AI 任務可以在不同 Worktree 並行開發、互不干擾，完成後再合併回主幹。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777620222386-9ub0.png\" alt=\"OpenAI Codex APP 完整功能盤點\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\n\n\u003Cp>除了本地執行，Codex 也提供雲端執行環境。將專案推到 GitHub 後，可在 Codex Web（手機亦可開啟）下達指令，雲端容器會 clone 程式碼、執行修改、並以 Pull Request 形式提交。出差或臨時要動工時，這個流程比本地開發更輕量。\u003C\u002Fp>\n\n\u003Ch2>AGENTS.md、Skills 與 MCP：三層擴展架構\u003C\u002Fh2>\n\n\u003Cp>Codex 的可擴展性建立在三層之上：\u003C\u002Fp>\n\n\u003Cul>\n\u003Cli>\u003Cstrong>AGENTS.md\u003C\u002Fstrong>：放在專案根目錄的記憶檔案，每次對話自動讀取。Codex 也支援放在 \u003Ccode>~\u002F.codex\u002FAGENTS.md\u003C\u002Fcode> 的全域版本，對所有專案生效。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Skills\u003C\u002Fstrong>：封裝工作流、規範或專業能力的技能包。可從 Codex 內建市場安裝（例如 Remotion 動畫生成）、從 GitHub 下載第三方版本，或用內建的 Skill Creator 自製。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>MCP（Model Context Protocol）\u003C\u002Fstrong>：標準化的工具協定，可接入 Supabase、Gmail、GitHub 等外部服務。Codex 用 \u003Ccode>codex mcp login\u003C\u002Fcode> CLI 完成 OAuth 流程後即可使用。\u003C\u002Fli>\n\u003C\u002Ful>\n\n\u003Cp>這套架構與 Claude Code 的 Skills \u002F MCP 機制相似，但 Codex 的市集與安裝體驗更接近一般軟體的使用習慣。\u003C\u002Fp>\n\n\u003Ch2>Computer Use 與自動化排程\u003C\u002Fh2>\n\n\u003Cp>Codex 的 Computer Use 目前僅限 macOS，能讓 AI 透過虛擬鼠標操作整台電腦 — 例如打開聊天軟體發送訊息、開啟 Chrome 查閱看板、再以聊天工具回報摘要。配合 Codex 內建的自動化排程，可將整套流程設定為定時任務（例如每天下午 5 點產出工作日報）。\u003C\u002Fp>\n\n\u003Cp>Codex 在執行自動化任務時還會把累積的經驗寫入 \u003Ccode>memory.md\u003C\u002Fcode>，幫助下一次執行 — 這是值得開發者借鑑的 Agent 工程模式。\u003C\u002Fp>\n\n\u003Ch2>對開發者的意義\u003C\u002Fh2>\n\n\u003Cp>Codex APP 體現了 OpenAI 對 Agent 工具的看法：用作業系統級機制把模型的能力 harness（馴服）在可控範圍內，再透過 Plan、Steer、Worktree、Skills 等高階抽象提升使用者的掌控感。當 AI Agent 從 demo 走向日常生產工具，這種「能力強但綁住韁繩」的設計哲學，會比單純追求自由度更有價值。\u003C\u002Fp>","OpenAI 的 Codex APP 已經從程式碼補全工具，演化為功能最完整的 AI Agent 桌面客戶端。它透過作業系統級沙盒、三檔權限機制、Git Worktree 並行開發、以及對 AGENTS.md、Skills 與 MCP 的原生支援，在 2026 年逐步拉開與 Claude Code 的距離。從沙盒哲學、Plan Mode、Steer 中途引導，到 Computer Use 與雲端執行環境，Codex 的設計呈現出 OpenAI 對 Agent 工程的鮮明立場。","oracore-original",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777620219082-601e.png",[12,13,14,15,16],"OpenAI","Codex","AI Agent","Claude Code","Developer Tools","zh",1,false,"2026-05-01T07:22:46.938948+00:00","done","openai-codex-app-feature-tour-2026-zh","tools","5ac1e437-102b-4e95-8c01-b2a2ffafb523","published","2026-05-01T09:00:06.593+00:00",[],{"id":24,"slug":29,"title":30,"language":31},"openai-codex-app-feature-tour-2026-en","OpenAI Codex APP Feature Tour: Sandbox, Worktree, and Skills","en",[33,39,45,51,57,63],{"id":34,"slug":35,"title":36,"cover_image":37,"image_url":37,"created_at":38,"category":23},"68e4be16-dc38-4524-a6ea-5ebe22a6c4fb","why-vidhub-huiyuan-hutong-bushi-quan-shebei-tongyong-zh","為什麼 VidHub 會員互通不是「買一次全設備通用」","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778789450987-advz.png","2026-05-14T20:10:24.048988+00:00",{"id":40,"slug":41,"title":42,"cover_image":43,"image_url":43,"created_at":44,"category":23},"7a1e174f-746b-4e82-a0e3-b2475ab39747","why-buns-zig-to-rust-experiment-is-right-zh","為什麼 Bun 的 Zig-to-Rust 實驗是對的","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778767879127-5dna.png","2026-05-14T14:10:26.886397+00:00",{"id":46,"slug":47,"title":48,"cover_image":49,"image_url":49,"created_at":50,"category":23},"e742fc73-5a65-4db3-ad17-88c99262ceb7","why-openai-api-pricing-is-product-strategy-zh","為什麼 OpenAI API 定價是產品策略，不是註腳","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778749859485-chvz.png","2026-05-14T09:10:26.003818+00:00",{"id":52,"slug":53,"title":54,"cover_image":55,"image_url":55,"created_at":56,"category":23},"c757c5d8-eda9-45dc-9020-4b002f4d6237","why-claude-code-prompt-design-beats-ide-copilots-zh","為什麼 Claude Code 的提示設計贏過 IDE Copilot","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778742645084-dao9.png","2026-05-14T07:10:29.371901+00:00",{"id":58,"slug":59,"title":60,"cover_image":61,"image_url":61,"created_at":62,"category":23},"4adef3ab-9f07-4970-91cf-77b8b581b348","why-databricks-model-serving-is-right-default-zh","為什麼 Databricks Model Serving 是生產推論的正確預設","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778692245329-a2wt.png","2026-05-13T17:10:30.659153+00:00",{"id":64,"slug":65,"title":66,"cover_image":67,"image_url":67,"created_at":68,"category":23},"b3305057-451d-48e4-9fb9-69215f7effad","why-ibm-bob-right-kind-ai-coding-assistant-zh","為什麼 IBM 的 Bob 才是對的 AI 寫碼助手","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778664653510-64hc.png","2026-05-13T09:30:21.881547+00:00",[70,75,80,85,90,95,100,105,110,115],{"id":71,"slug":72,"title":73,"created_at":74},"de769291-4574-4c46-a76d-772bd99e6ec9","googles-biggest-gemini-launches-in-2026-zh","Google 2026 最大 Gemini 盤點","2026-03-26T07:26:39.21072+00:00",{"id":76,"slug":77,"title":78,"created_at":79},"855cd52f-6fab-46cc-a7c1-42195e8a0de4","surepath-real-time-mcp-policy-controls-zh","SurePath 推出即時 MCP 政策控管","2026-03-26T07:57:40.77233+00:00",{"id":81,"slug":82,"title":83,"created_at":84},"9b19ab54-edef-4dbd-9ce4-a51e4bae4ebb","mcp-in-2026-the-ai-tool-layer-teams-use-zh","2026 年 MCP：團隊真的在用的 AI 工具層","2026-03-26T08:01:46.589694+00:00",{"id":86,"slug":87,"title":88,"created_at":89},"af9c46c3-7a28-410b-9f04-32b3de30a68c","prompting-in-2026-what-actually-works-zh","2026 提示工程，真正有用的是什麼","2026-03-26T08:08:12.453028+00:00",{"id":91,"slug":92,"title":93,"created_at":94},"05553086-6ed0-4758-81fd-6cab24b575e0","garry-tan-open-sources-claude-code-toolkit-zh","Garry Tan 開源 Claude Code 工具包","2026-03-26T08:26:20.068737+00:00",{"id":96,"slug":97,"title":98,"created_at":99},"042a73a2-18a2-433d-9e8f-9802b9559aac","github-ai-projects-to-watch-in-2026-zh","2026 必看 20 個 GitHub AI 專案","2026-03-26T08:28:09.619964+00:00",{"id":101,"slug":102,"title":103,"created_at":104},"a5f94120-ac0d-4483-9a8b-63590071ac6a","claude-code-vs-cursor-2026-zh","Claude Code 與 Cursor 深度對比：202…","2026-03-26T13:27:14.279193+00:00",{"id":106,"slug":107,"title":108,"created_at":109},"0975afa1-e0c7-4130-a20d-d890eaed995e","practical-github-guide-learning-ml-2026-zh","2026 機器學習入門 GitHub 實用指南","2026-03-27T01:16:49.712576+00:00",{"id":111,"slug":112,"title":113,"created_at":114},"bfdb467a-290f-4a80-b3a9-6f081afb6dff","aiml-2026-student-ai-ml-lab-repo-review-zh","AIML-2026：像課綱的學生實驗 Repo","2026-03-27T01:21:51.467798+00:00",{"id":116,"slug":117,"title":118,"created_at":119},"80cabc3e-09fc-4ff5-8f07-b8d68f5ae545","ai-trending-github-repos-and-research-feeds-zh","AI Trending：把 AI 資源收成一張表","2026-03-27T01:31:35.262183+00:00"]