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Claude Code vs OpenAI Codex：你應該用邊種 AI 寫 Code 流程？

按引用嘅官方文件及 2026 年 release notes，Claude Code 更似可一路帶住做嘅 repo aware AI pair programmer；OpenAI Codex 更似可分派任務、並行跑 agent、之後審 diff 嘅流程 [15][26][28]。 Claude Code 在呢組來源入面有較完整嘅客製化文件，包括 skills、hooks、settings 同 custom subagents [16][17][20][21]。

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Create a landscape editorial hero image for this Studio Global article: Claude Code vs. OpenAI Codex: Pair Programmer or Parallel Coding Agent?. Article summary: Choose Claude Code when you want a hands on, repo aware AI pair programmer; choose OpenAI Codex when you want to delegate coding tasks to parallel agents and review isolated diffs.. Topic tags: ai, coding agents, claude code, openai codex, developer tools. Reference image context from search candidates: Reference image 1: visual subject "Within six weeks of each other in spring 2025, OpenAI and Anthropic both shipped autonomous coding agents — and the **OpenAI Codex vs Claude Code** debate immediately became the mo" source context "OpenAI Codex vs Claude Code: Which Agent Wins? [2026]" Reference image 2: visual subject "# Claude Code vs OpenAI Codex: A Detailed Comparison | by Shri | Medium. # Claude Code vs OpenAI Codex: A Deta

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如果你而家係追一個 failing test、摸清一個陌生 repo、或者做一個要步步為營嘅 refactor，你多數想個 AI 留喺你身邊：睇檔、改 code、跑 command，然後你一路檢查一路修正。呢個正正係 Anthropic 對 Claude Code 嘅官方定位：一個 agentic coding tool，可以讀 codebase、修改檔案、執行命令，並同開發工具整合；亦可喺 terminal、IDE、desktop app 同 browser 使用 [15]。

但如果你手上有幾張相對獨立嘅 ticket，想分畀多個 agent background 做，最後交返一組組可 review 嘅 diff，再決定改、棄、或者開 PR，OpenAI Codex app 嘅官方描述就更加貼近呢種流程 [26][28]。

所以真正問題唔係單純「邊個模型勁啲」，而係：你想同 AI 一齊邊做邊控，定係將工作交出去，之後審結果？

快速結論

如果你嘅工作似...先試...點解
追 failing test、探索陌生 repo、或者做小心翼翼嘅 refactorClaude Code官方文件圍繞讀 repo、改 files、跑 commands 同開發工具整合 [15]。
分派獨立 ticket、background 跑任務、最後 review diffOpenAI CodexCodex app 被描述為可並行跑多個 agents、用 isolated worktrees、產生可 review diffs，並交接到 PR [26][28]。
砌公司內部 agent workflow、加 hooks 或自訂規則Claude CodeAnthropic 對 skills、hooks、settings 同 custom subagents 有較詳細文件 [16][17][20][21]。
團隊主要靠 PR review queue 推進工作OpenAI CodexOpenAI 指 Codex app 產生嘅 diffs 可以修改、棄用，或者變成 pull request [26]。
要用價錢做最後決定直接向供應商核實Anthropic 有成本控制同 rate limit 說明；本文引用嘅 OpenAI note 只指出 Codex app 適用於包含 Codex 嘅 ChatGPT plans，未提供完整逐 plan 價格表 [18][26]。

核心分野：貼身控制 vs 派工審稿

Claude Code 比較似一個貼身 coding partner。官方文件將佢放入開發者日常 loop 入面：讀 project files、改 code、跑 commands，並同現有 developer tools 配合 [15]。如果你要即場 inspect、指路、打斷、跑 test、再微調，呢種「人喺場」嘅互動感會更自然。

Codex 則更似一個 delegated coding-agent workflow。OpenAI 對 Windows Codex app 嘅 release note 指，它提供 desktop surface，畀用戶並行運行多個 Codex agents，配合 isolated worktrees，同產生可 review diffs；呢啲 diffs 可以被修改、棄用，或者變成 pull request [26]。OpenAI Enterprise & Edu release notes 亦形容 macOS Codex app 係管理多個 coding agents 並行運作嘅 command center，支援 long-horizon 同 background tasks、由 isolated worktrees 產生 clean diffs、顯示 agent progress and decisions，以及 reusable skills and automations [28]。

一句講晒：你想揸住軚盤一路開，先諗 Claude Code；你想派工畀多個 agent 做完再驗收，先諗 Codex。

Claude Code 強喺邊？

Claude Code 最適合 hands-on engineering。當你要追 bug、讀一個未熟嘅 codebase、重構 module，或者反覆改到 tests pass，Claude Code 官方列明嘅讀檔、改檔、跑 command、整合開發工具能力就係重點 [15]。

佢亦唔係淨係 terminal 工具。Anthropic 指 Claude Code 可喺 terminal、IDE、desktop app 同 browser 使用 [15]。不過，如果你主要用 VS Code 圖形介面，要留意官方文件講明 Claude Code 有 VS Code extension 同 CLI，但部分功能只限 CLI；如果需要 CLI-only 功能，就要喺 VS Code integrated terminal 跑 claude [19]。換言之，GUI-first 團隊唔應該只睇宣傳頁，最好試清楚自己日常要用嘅 commands 同 integrations 是否齊全。

客製化方面，Claude Code 喺本文引用來源入面明顯有較多低層文件。Anthropic 文件涵蓋 skills、hooks、settings 同 custom subagents [16][17][20][21]。例如 settings 可以將 main thread 以指定 named subagent 方式運行，套用該 subagent 嘅 system prompt、tool restrictions 同 model [20]；subagent 範例亦包括 code reviewer 同 debugger 類型設定 [21]。

如果你諗緊超出單一開發者 session，例如 CI/CD、自家 app 或 production automation，Anthropic Agent SDK overview 亦劃清界線：互動式開發同一次性任務建議用 CLI；CI/CD pipelines、custom applications 同 production automation 則建議用 SDK [13]。

Claude Code 要留意嘅位

Claude Code 並唔係本文來源中最明確被包裝成「多張獨立任務排隊，每張交 isolated diff」嘅工具。Anthropic overview 有提到 agent teams 同 custom agents [15]，但 OpenAI Codex release notes 就直接將 parallel agents、isolated worktrees、clean diffs、background tasks 同 PR handoff 放喺 app workflow 中心 [26][28]。

另一個實際考量係介面覆蓋。Claude Code 有 VS Code integration，但官方文件列明部分功能仍然 CLI-only [19]。如果你團隊標準係 GUI-first，最好先用一個真實 repo 做 pilot。

OpenAI Codex 強喺邊？

Codex 最自然嘅場景係 delegated implementation：你將任務描述清楚，畀 agent 喺 background 做，最後你 review diff。OpenAI 指 Windows Codex app 可以並行運行多個 agents、使用 isolated worktrees、產生可 review diffs，並將接受嘅工作變成 pull request [26]。

對已經用 ticket、branch、code review 同 PR 推進開發嘅團隊，呢種節奏尤其直觀。OpenAI Enterprise & Edu release notes 對 macOS Codex app 嘅描述包括 long-horizon/background tasks、由 isolated worktrees 產生 clean diffs、可以睇到 agent progress and decisions，以及 reusable skills and automations [28]。

Codex 要留意嘅位

本文引用嘅 OpenAI 材料主要係 release notes，而唔係深入 configuration manuals。佢哋清楚支持一個結論：Codex app workflow 重點係 parallel agents、isolated worktrees、background tasks、reviewable diffs、reusable skills、automations，以及跨 app、CLI、IDE 延續工作 [26][28]。

但同一組來源並未提供好似 Anthropic 對 Claude Code 嗰種 hooks、settings、custom subagents 細節文件 [16][17][20][21]。呢點唔代表 Codex 冇配置能力；只係以本文引用來源計，較有把握嘅講法係：Codex 嘅 delegation workflow 證據更強，而低層客製化模型嘅公開文件深度，喺呢組來源入面不及 Claude Code。

價錢同 rollout：唔好過度解讀

本文引用嘅官方來源，未足以判斷邊個一定平啲。

Claude 相關 agent 工作方面，Anthropic pricing 文件建議按任務選合適模型、對重複 context 使用 prompt caching、將非即時操作 batch 處理，並監察 token consumption；同時亦指出 rate limits 會按 usage tier 而變 [18]。

Codex 方面，本文引用嘅 OpenAI release note 只講 Windows Codex app 適用於包含 Codex 嘅 ChatGPT plans，並無提供完整逐 plan pricing table [26]。如果要全 team rollout，最好直接向供應商核實當前 plan access、rate limits、資料管控、安全要求同 billing 條款。

實際應該點揀？

想要 AI pair programmer：揀 Claude Code 先

如果工作本身係探索式、反覆式，或者風險高到工程師要貼住睇，Claude Code 係較合理嘅第一選擇。官方 overview 強調 repo awareness、file edits、command execution 同 development-tool integration [15]；加上 skills、hooks、settings 同 custom subagents 文件，亦令佢較適合做深度 workflow customization [16][17][20][21]。

想要 parallel coding agents：揀 OpenAI Codex 先

如果工作可以包裝成任務、分開執行、之後用 diff review，Codex 會更貼合。OpenAI release notes 強調多個 agents 並行、isolated worktrees、reviewable diffs、background/long-horizon tasks 同 pull-request handoff [26][28]。

兩種工作都有：可以分工用

好多團隊其實兩種模式都有。實際做法可以係：Claude Code 用於貼身 debugging、refactoring、codebase exploration；Codex 用於可委派嘅 implementation tasks，等佢交 clean diffs 俾人 review。呢個分工亦符合本文引用官方材料嘅產品定位：Claude Code 以 repo-aware interactive development 同 customization 為核心 [15][16][17][20][21]；Codex 則圍繞 parallel agents、isolated worktrees、reviewable diffs、background tasks 同 PR handoff [26][28]。

FAQ

Claude Code 係咪只可以喺 terminal 用？

唔係。Anthropic 指 Claude Code 可喺 terminal、IDE、desktop app 同 browser 使用 [15]。喺 VS Code 入面，佢有 graphical extension 同 CLI，但部分功能只限 CLI [19]。

OpenAI Codex 可唔可以將改動變成 pull request？

可以。OpenAI release note 指 Codex app 產生嘅 diffs 可以被修改、棄用，或者變成 pull request [26]。

邊個更適合 parallel agent 工作？

按本文引用嘅官方來源，OpenAI Codex 更明確被定位為 parallel coding agents 工作流。OpenAI 指 Codex app 可並行運行多個 agents，配合 isolated worktrees 同 reviewable diffs [26][28]。

邊個有更多已公開嘅客製化文件？

按本文引用來源，Claude Code 有較詳細嘅 customization documentation，包括 skills、hooks、settings 同 custom subagents [16][17][20][21]。OpenAI Codex release notes 有提 reusable skills and automations，但本文引用嘅 OpenAI 材料未提供同等深度嘅 configuration 細節 [28]。

一句到尾

Claude Code 較適合你想要一個貼身、懂 repo、可一路帶住做，並可深度客製化嘅 AI coding partner [15][16][17][20][21]。OpenAI Codex 較適合你想將 coding tasks 分派出去，畀多個 agents 並行處理，最後審 isolated diffs，再將可接受改動交接成 PR [26][28]。

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重點

  • 按引用嘅官方文件及 2026 年 release notes，Claude Code 更似可一路帶住做嘅 repo aware AI pair programmer；OpenAI Codex 更似可分派任務、並行跑 agent、之後審 diff 嘅流程 [15][26][28]。
  • Claude Code 在呢組來源入面有較完整嘅客製化文件，包括 skills、hooks、settings 同 custom subagents [16][17][20][21]。
  • Codex release notes 更明確聚焦 parallel agents、isolated worktrees、background tasks、clean diffs 同 pull request handoff [26][28]。

人們還問

「Claude Code vs OpenAI Codex：你應該用邊種 AI 寫 Code 流程？」的簡短答案是什麼？

按引用嘅官方文件及 2026 年 release notes，Claude Code 更似可一路帶住做嘅 repo aware AI pair programmer；OpenAI Codex 更似可分派任務、並行跑 agent、之後審 diff 嘅流程 [15][26][28]。

首先要驗證的關鍵點是什麼？

按引用嘅官方文件及 2026 年 release notes，Claude Code 更似可一路帶住做嘅 repo aware AI pair programmer；OpenAI Codex 更似可分派任務、並行跑 agent、之後審 diff 嘅流程 [15][26][28]。 Claude Code 在呢組來源入面有較完整嘅客製化文件，包括 skills、hooks、settings 同 custom subagents [16][17][20][21]。

接下來在實務上我該做什麼？

Codex release notes 更明確聚焦 parallel agents、isolated worktrees、background tasks、clean diffs 同 pull request handoff [26][28]。

接下來我應該探索哪個相關主題？

繼續“Claude Security 公測版：Anthropic 點樣用 AI 幫企業掃 code 漏洞”以獲得另一個角度和額外的引用。

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Compare Claude Code vs OpenAI Codex

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引用的答案

Claude Code is best if you want a terminal-first coding partner that works directly inside your repo and development tools. OpenAI Codex is better if you want to run multiple coding agents in parallel, review isolated diffs, and turn work into pull requests from a more task-oriented app/workflow.

Key comparison

AreaClaude CodeOpenAI Codex
Core styleInteractive, repo-aware coding agentParallel, task-based coding agents
Main interfaceTerminal, IDE, desktop, and other dev-tool integrations [3]Codex app / ChatGPT surfaces for running agents; Windows app supports parallel agents, isolated worktrees, reviewable diffs, and PR creation [15]
Best forPair-programming, debugging, refactors, understanding a codebaseDelegating multiple coding tasks, background work, reviewing diffs, PR workflows
WorkflowMore synchronous: you guide the agent in your working environmentMore asynchronous: assign tasks, let agents work, review results
CustomizationSupports subagents, hooks, settings, skills, and tool controls [4][5][8][9]Stronger emphasis on managed agent runs, isolated worktrees, and parallel execution [15]
IDE/terminal fitVery strong terminal/CLI fit; VS Code integration exists, but some features are CLI-only [7]Stronger app-style workflow; less terminal-native than Claude Code based on available official release-note evidence [15]
PricingDepends on Anthropic plan/API usage; official API pricing docs recommend model selection, prompt caching, and batch usage to manage agent cost [6]Depends on ChatGPT plans that include Codex; official release notes confirm Codex app availability for included plans but do not give full pricing in the cited source [15]

Practical recommendation

  • Choose Claude Code if:

    • You live in the terminal.
    • You want tight control while the agent reads files, edits code, and runs commands in your repo [3].
    • You want custom subagents, hooks, and workflow-level customization [5][9].

  • Choose OpenAI Codex if:

    • You want to run several agents at once.
    • You prefer reviewing clean diffs from isolated worktrees.
    • Your workflow is “assign task → review diff → open PR,” which OpenAI’s Codex app is explicitly designed to support [15].

  • For teams:

    • Claude Code may fit better for senior engineers doing hands-on refactoring and debugging.
    • Codex may fit better for backlog-style task delegation, parallel implementation attempts, and PR-oriented workflows.

Short verdict

If you want an AI pair programmer, pick Claude Code. If you want an AI coding task runner that can work in parallel and hand you reviewable diffs, pick OpenAI Codex.

來源

  • [13] Agent SDK overview - Claude Code Docsdocs.anthropic.com

    ​ Compare the Agent SDK to other Claude tools Client SDK: You implement the tool loop response = client.messages.create(...) while response.stop reason == "tool use": result = your tool executor(response.tool use) response = client.messages.create(tool resu...

  • [15] Claude Code overview - Claude Code Docsdocs.anthropic.com

    light logo dark logo US Getting started Core concepts Use Claude Code Platforms and integrations Claude Code overview Claude Code is an agentic coding tool that reads your codebase, edits files, runs commands, and integrates with your development tools. Ava...

  • [16] Extend Claude with skills - Claude Code Docsdocs.anthropic.com

    name description description when to use when to use description argument-hint [issue-number] [filename] [format] disable-model-invocation true /name false user-invocable false / true allowed-tools model effort low medium high xhigh max context fork agent c...

  • [17] Hooks reference - Claude Code Docsdocs.anthropic.com

    SubagentStart When a subagent is spawned SubagentStop When a subagent finishes TaskCreated When a task is being created via TaskCreate TaskCompleted When a task is being marked as completed Stop When Claude finishes responding StopFailure When the turn ends...

  • [18] Pricing - Claude API Docsdocs.anthropic.com

    When building agents with Claude: 1. Use appropriate models: Choose Haiku for simple tasks, Sonnet for complex reasoning 2. Implement prompt caching: Reduce costs for repeated context 3. Batch operations: Use the Batch API for non-time-sensitive tasks 4. Mo...

  • [19] Use Claude Code in VS Code - Claude Code Docsdocs.anthropic.com

    ​ VS Code extension vs. Claude Code CLI Claude Code is available as both a VS Code extension (graphical panel) and a CLI (command-line interface in the terminal). Some features are only available in the CLI. If you need a CLI-only feature, run claude in VS...

  • [20] Claude Code settings - Claude Code Docsdocs.anthropic.com

    Key Description Example --- agent Run the main thread as a named subagent. Applies that subagent’s system prompt, tool restrictions, and model. See Invoke subagents explicitly "code-reviewer" allowedChannelPlugins (Managed settings only) Allowlist of channe...

  • [21] Create custom subagents - Claude Code Docsdocs.anthropic.com

    --agents .claude/agents/ /.claude/agents/ agents/ .claude/agents/ --add-dir /.claude/agents/ /.claude/agents/ --agents claude --agents '{ "code-reviewer": { "description": "Expert code reviewer. Use proactively after code changes.", "prompt": "You are a sen...

  • [26] ChatGPT — Release Notes - OpenAI Help Centerhelp.openai.com

    March 4, 2026 Codex app on Windows The Codex app is now available on Windows for ChatGPT plans that include Codex. The app gives users a Windows desktop surface for running multiple Codex agents in parallel, with isolated worktrees and reviewable diffs that...

  • [28] ChatGPT Enterprise & Edu - Release Notes | OpenAI Help Centerhelp.openai.com

    For Enterprise and Edu workspaces, this update does not modify your current role-based access controls (RBAC) or the default deep research configuration. For more information, please refer to our help center article: Deep research in ChatGPT February 2, 202...