KimYx0207/AI-Coding-Guide-ZhPublic

Claude Code + OpenClaw + Codex 中文教程 | 39篇完整教程 + 1张速查卡 | 80万+内容量 | 1500+实操示例 | AI Coding / Agent 三线学习路径

AI summary: A comprehensive Chinese tutorial for AI coding workflows using Claude Code, OpenClaw, and Codex.

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MITCreated Feb 11, 2026Last push 1d agoLatest release v4.3+67 stars this week+83 this month

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What AI-Coding-Guide-Zh does

This repository provides a massive, systematic Chinese-language guide tailored for integrating AI coding agents into personal and team workflows. Spanning over 39 detailed tutorials and hundreds of practical examples, it covers the practical application of tools like Claude Code, OpenClaw, and the Codex App. Created by an industry veteran, the guide moves beyond simple prompts to teach complex multi-department coordination, milestone planning, and standardizing AI usage in software development, aiming to bridge the gap between individual experimentation and enterprise adoption.

Chinese-speaking developers, engineering managers, and technical educators looking to systematically adopt AI coding tools.

  • Extensive content: contains over 800,000 words of Markdown and 1500+ practical code and command examples.
  • Systematic learning path: structured to take users from beginner basics to advanced team-wide implementation.
  • Enterprise focus: emphasizes project management, milestone setting, and standardizing AI tools across development teams.
  • Multi-tool coverage: provides deep dives into Claude Code, OpenClaw, and Codex App ecosystems.
  • Practical troubleshooting: includes over 250 Q&A entries addressing common real-world issues encountered during implementation.

Where teams use it

Team Onboarding

Engineering managers use the guide to train their teams on standardizing AI coding practices and improving productivity.

Workflow Optimization

Individual developers follow the tutorials to integrate CLI agents seamlessly into their daily development routines.

Enterprise AI Strategy

CTOs and tech leads reference the project management sections to design secure and efficient AI adoption plans for their companies.

Academic Training

University professors utilize the structured curriculum to teach students modern AI-assisted software engineering techniques.

Getting started: Read the README.md on the GitHub repository.

README

main branch

Claude Code & OpenClaw & Codex 中文教程

Stars Forks License Claude Code OpenClaw Codex App

AI Coding / Agent 工作流中文实战教程

🎯 从个人上手到团队落地:Claude Code + OpenClaw + Codex

老金基于 15+ 年游戏研发、项目管理、多部门协同、里程碑制定与数据分析经验 整理本教程,面向 中小企业 AI 赋能、高校培训、开发团队 AI Coding 落地

Codex 主线以 Codex App 为核心;CLI / Web / SDK / GitHub Action 等只作为 App 生态补充。

📚 39 篇完整教程 + 1 张速查卡 | 80万+ Markdown 内容量 | 1500+ 代码块 / 命令 / 配置示例 | 250+ 问答条目

⭐ 新手能入门 | 开发者能提效 | 团队负责人能建规范 | 企业和高校能做培训

🔗 GitHub 仓库https://github.com/KimYx0207/AI-Coding-Guide-Zh


📖 项目简介

这是一套系统化、适合循序学习、也能进入团队落地的 AI Coding 与 Agent 工作流中文教程,覆盖三类代表性工具:

Claude Code OpenClaw Codex
是什么 Anthropic 官方 AI 编程 CLI 工具 开源 AI 私人助手框架 OpenAI 编程 Agent 平台
干什么 终端里写代码、调Bug、做架构 消息平台上管邮件、排日程、自动化一切 App / CLI / Web / IDE / SDK 分层协作的编程 Agent
谁出的 Anthropic 官方 Peter Steinberger(原名 Clawdbot,因 Claude 商标被迫改名) OpenAI 官方(CLI 开源 Apache-2.0)
教程数 13 篇 + 1 速查卡 12 篇完整教程 14 篇完整教程

👤 作者定位

老金是合伙创业游戏研发公司出身,15 余年一线项目经验:从策划到整体项目负责人,长期处理多部门协同、团队管理、研发里程碑、版本节奏、数据分析和交付风险。

这套教程的目标不是堆命令,而是把 AI Coding / Agent 工具转成企业和高校都能理解、能训练、能验收的实战体系:先跑起来,再接入真实工作流,最后建立团队规范和安全边界。

🧬 为什么放在一起?

因为真实落地时,企业和个人不会只用一个工具:

  1. 编程生产力 — Claude Code 适合深入本地项目、改代码、跑测试、做架构分析
  2. 日常自动化 — OpenClaw 适合把 AI 接到消息平台、个人助理和企业流程里
  3. 多入口协作 — Codex 适合 App / CLI / Web / Cloud / GitHub 等分层协作
  4. 培训与管理 — 三者放在一起,才能讲清楚工具选择、权限边界、团队规范和落地路径

✨ 核心特色

  • 🎓 三线学习路径:Claude Code 编程线 + OpenClaw 助手线 + Codex Agent 线,按目标选择
  • 🧭 清晰路径:从安装、第一轮任务到团队规范,按主线逐步推进
  • 📚 分层阅读:新手看路线图,开发者看实操,团队负责人看规范和安全
  • 💻 实战导向:1500+ 个代码块、命令片段、配置模板和提示词示例,边学边练
  • 📊 质量保证:关键版本号与 App / CLI 行为优先对照 官方 Release / 文档 修订;细节仍可能随上游快速变化,请以你本机版本为准
  • 🔄 持续更新:适配最新稳定版(Claude Code v2.1.169 / OpenClaw v2026.6.1 / Codex App 26.602;Codex CLI 辅助基线 0.138.0,实际以 App 更新日志和本机 App 信息为准)

🎯 按身份选择路线

你是谁 先解决什么问题 推荐入口
刚入门的读者 看懂核心概念,完成第一个低风险任务 README 快速开始 → Claude Code 01 / OpenClaw OC-03 / Codex CX-01
开发者 把 AI 接进真实项目,提高写代码和排障效率 Claude Code 02 / 04 / 05,Codex CX-02 / CX-04 / CX-05
团队负责人 / PM 建立协作规范、里程碑检查、Review 和安全边界 Claude Code 10 / 11,Codex CX-10 / CX-13 / CX-14
企业培训 / 高校课程 设计可讲、可练、可验收的课程路径 三线快速上手 + 企业安全章节 + FAQ / 检查清单

📚 教程目录

🤖 Part 1:Claude Code — Anthropic 官方编程 CLI

序号 教程名称 学时 难度 必学度 说明
01 Claude Code完整安装指南 2-3h ⭐⭐⭐ 环境搭建、API配置、IDE集成
02 基础使用完整指南 4-6h ⭐⭐⭐ 三种使用模式、30+命令详解
03 Commands系统完整指南 4-6h ⭐⭐ ⭐⭐ Slash 命令、Skills 工作流与兼容层
04 MCP集成完整指南 4-6h ⭐⭐ ⭐⭐⭐ 10+核心服务器、自定义开发
05 Hooks系统完整指南 4-6h ⭐⭐ ⭐⭐⭐ 多事件 Hook、4 类处理器、自动化工作流
06 Subagent子代理完整指南 1-2h ⭐⭐ ⭐⭐ 官方 Subagents、Task 委派、Agent Teams(实验性)
07 Skills定制完整指南 6-8h ⭐⭐ ⭐⭐ 创建可复用功能包
08 Plugins生态完整指南 4-6h ⭐⭐ /plugin、市场、作用域与本地开发
09 Agent-SDK完整指南 6-8h ⭐⭐⭐ ⭐⭐ 编程开发AI Agent
10 综合实战完整指南 2-3h ⭐⭐⭐ ⭐⭐ 团队协作、CI/CD集成
11 企业实战完整指南 4-6h ⭐⭐⭐ 企业级最佳实践
12 Remote Control完整指南 1-2h ⭐⭐ ⭐⭐ 跨设备继续本地会话、/remote-controlclaude remote-control
13 Channels与计划任务完整指南 2-3h ⭐⭐⭐ --channels/schedule/loopCronCreate

速查Claude Code 快速导航卡

🦞 Part 2:OpenClaw — 开源 AI 助手

序号 教程名称 难度 说明
OC-00 阅读指南 🟢 术语表、文档地图、4条阅读路线
OC-01 项目介绍 🟢 OpenClaw 是什么、发展历史、核心架构
OC-02 安装部署 🟢 macOS / Linux / Windows 全平台安装
OC-03 快速开始 🟢 完成第一个本地对话和基础检查
OC-04 AI 模型配置 🟡 接入 OpenAI / Claude / Ollama 等模型
OC-05 消息平台接入 🟡 连接 WhatsApp / Telegram / Discord / 飞书等平台
OC-06 技能系统 🟡 技能生态与自定义技能开发
OC-07 记忆系统 🟡 AI 如何记住你的偏好和上下文
OC-08 多 Agent 协作 🔴 一个网关跑多个独立 AI 助手
OC-09 Docker 部署 🔴 容器化部署与 VPS 远程访问
OC-10 安全配置 🔴 安全配置、CVE 防护、权限管理
OC-11 常见问题 🟢 踩坑指南与解决方案

🤖 Part 3:Codex — OpenAI 编程 Agent 平台

Codex 学习主线:只有 Codex App 一条主线。先看 CX-01 安装认证和 CX-02 App 桌面工作流;CX-03 到 CX-10 按功能拆开讲 Commands、项目指令、MCP、Skills、Plugins、Subagents、Automations、Review / GitHub;CX-11 和 CX-12 分别是 Web / Cloud、CLI 辅助;CX-13 安全企业;CX-14 为 Claude Code 对比附录。

序号 教程名称 学时 难度 说明
CX-01 Codex App 安装与认证 1-2h Windows Microsoft Store / 防火墙,macOS 官方下载 / Gatekeeper,登录、本地项目和第一个线程
CX-02 Codex App 桌面工作流 3-4h ⭐⭐⭐ App 主控台:Thread、Local、Worktree、Review、Settings、功能全景
CX-03 Commands 工作流入口 2-3h ⭐⭐⭐ App 里的 slash commands、/status、/plan、/review、/mcp,以及 /goal 等长目标入口的确认方法
CX-04 项目指令、权限与配置 2-3h ⭐⭐⭐ AGENTS.md、App Settings、权限、沙盒、Rules、Hooks
CX-05 MCP 外部工具连接 2-3h ⭐⭐⭐ App 中接浏览器、数据库、文档源、内部 API 等外部工具
CX-06 Skills 可复用工作流 2-3h ⭐⭐⭐ 在 App 中点名、触发、编写和共享 Skills
CX-07 Plugins / Connectors 2-3h ⭐⭐⭐ App 能力包、GitHub/Gmail/Drive/Slack 等账号连接
CX-08 Subagents 多 Agent 协作 2-3h ⭐⭐ App 中的并行分析、分工实现、只读审查与 worktree 配合
CX-09 Automations 后台任务 2-3h ⭐⭐ App 里的周期检查、提醒、monitor、Skills + Automation
CX-10 Review / GitHub / PR 2-3h ⭐⭐⭐ 从 App diff 到 GitHub PR、CI 修复和 Cloud 接力
CX-11 Web / Cloud 辅助路径 1-2h ⭐⭐ 远程仓库、云端 environment、PR 长任务;不是 App 主线
CX-12 CLI 辅助指南 1-2h ⭐⭐ 终端排查、CI、codex review、MCP/plugin 管理;不是主线
CX-13 安全与企业基线 2-3h ⭐⭐⭐ 审批、沙盒、Rules、Hooks、MCP/Plugins/Automations 权限
CX-14 Codex 与 Claude Code 对比 1-2h ⭐⭐ 从 App 主线出发做双工具选择和共存

📋 环境要求

Claude Code

  • 操作系统:Windows 10+、macOS 10.15+、Linux
  • 安装方式:支持标准安装(npm install -g @anthropic-ai/claude-code,需 Node.js 18+)和原生二进制安装(beta / 改进安装路径)
  • 认证方式:可用 Claude 订阅登录,也可用 Anthropic Console / 第三方兼容提供商配置
  • IDE:VS Code、Cursor、Windsurf 或其他支持的编辑器

⚠️ 2026年更新:Claude Code 已提供原生二进制安装,但 Node.js 18+ 的标准 npm 安装路径仍然受支持。本仓库安装指南现同时覆盖两条路径,并明确各自适用场景。

OpenClaw

  • Node.js:24.x 推荐,22.19+ 兼容
  • AI 模型 API Key:OpenAI / Anthropic / Google 等(或使用 Ollama 本地模型免 Key)
  • 操作系统:macOS / Linux / Windows(推荐 WSL2)

Codex

  • Codex App:当前主线按 App 26.602(2026-06-04 官方 changelog)复核;macOS 从官方 Codex App 入口安装,Windows 以 Microsoft Store / winget -s msstore 等官方安装入口为准
  • CLI / Web / Cloud 辅助:CLI 仅用于终端排查、CI、MCP / plugin 管理等辅助场景;Web / Cloud 用于远程仓库和长任务接力,版本以官方文档和当前账号能力为准
  • 认证方式:ChatGPT 账户登录 或 OpenAI API Key

🚀 快速开始

克隆仓库

git clone https://github.com/KimYx0207/AI-Coding-Guide-Zh.git
cd AI-Coding-Guide-Zh

Claude Code 路线(3小时上手)

Step 1(60分钟):01-安装指南 → 路径A快速上手
Step 2(30分钟):04-MCP集成 → 第2部分快速开始
Step 3(30分钟):05-Hooks系统 → 第2部分快速开始
完成 ✅ 能用Claude Code + 能用MCP + 能用Hook

OpenClaw 路线(1小时上手)

Step 1(15分钟):OC-01 项目介绍 → 了解全局
Step 2(20分钟):OC-02 环境安装 → 装好环境
Step 3(10分钟):OC-03 快速开始 → 跑起第一个对话
Step 4(15分钟):OC-04 模型配置 → 接入 AI 模型
完成 ✅ 能用OpenClaw + 能和AI对话

Codex 路线(20分钟上手)

Step 1(10分钟):CX-01 安装与认证 → 装好 Codex + 配好认证
Step 2(10分钟):CX-02 App 桌面工作流 → 跑起第一个 App 线程
完成 ✅ 能用Codex + 能让AI写代码

完整掌握路径

Week 1-2:Claude Code 安装 + 基础使用 + MCP
Week 3-4:Claude Code Hooks + Skills + Plugins
Week 5  :Claude Code 模型配置 + Remote Control + Channels/计划任务
Week 6  :Claude Code Agent-SDK + 综合实战
Week 7  :OpenClaw 安装 + 快速开始 + 模型配置
Week 8  :OpenClaw 消息平台 + 技能系统 + 记忆系统
Week 9  :OpenClaw 多Agent + Docker部署 + 安全
Week 10 :Codex App 安装 + App 桌面工作流 + Commands
Week 11 :项目指令 + MCP + Skills + Plugins / Connectors + Subagents
Week 12 :Automations + Review / GitHub / PR + Web/Cloud/CLI 辅助 + 安全

📊 项目统计

指标 数值
教程总数 39 篇完整教程(Claude Code 13 / OpenClaw 12 / Codex 14)+ 1 速查卡
内容体量 80万+ Markdown 内容量(含正文、命令、代码、配置、提示词和 FAQ)
中文核心内容 20万+ 中文字
代码 / 命令 / 配置示例 1500+ 个代码块与实操片段(核心示例按当前版本持续校验)
FAQ / 问答条目 250+ 个
覆盖AI模型 OpenClaw 支持多个主流模型提供商,具体目录以当前安装版本和官方 Models / Onboarding 为准
覆盖消息平台 WhatsApp、Telegram、Slack、Discord、Signal、Google Chat、iMessage、Microsoft Teams、Matrix、飞书、LINE、Mattermost、Nextcloud Talk、Nostr、Synology Chat、Twitch、Zalo、WeChat、QQ 等
Claude Code版本 v2.1.169(2026-06-09 对照 GitHub Releases
OpenClaw版本 v2026.6.1(2026-06-09 对照 Releases);v2026.6.5-beta.x 为预发布线,不作为本教程默认稳定基线
Codex版本 Codex App 26.602(2026-06-04 官方 changelog);Codex CLI 0.138.0(2026-06-08,辅助路径);实际以 App 更新日志、系统应用信息和官方文档为准

🔖 版本说明

版本校验方法:本仓库教程中的版本号和 App / CLI 行为,优先对照 官方 Release / 官方文档 修订。上游产品迭代很快,部分细节可能在你阅读时已发生变化。

遇到版本不一致时:以你本机 App About / Settings、系统应用信息、claude --version、CLI codex --versionnpm list -g 的输出为准,教程示例按官方最新文档调整。

产品 当前验证版本 本轮复核 官方来源
Claude Code v2.1.169 2026-06-09 GitHub Releases
OpenClaw v2026.6.1 2026-06-09 GitHub Releases
Codex App 26.602 2026-06-09 Codex changelog
Codex CLI 0.138.0 2026-06-09 Codex changelog

本轮版本差异速览

产品 从旧基线到当前基线 对教程的影响
Claude Code v2.1.158 → v2.1.169 新增 --safe-mode / CLAUDE_CODE_SAFE_MODE/cd;修复企业 MCP 管理策略、Windows claude -p 卡顿、Remote Control 重连、后台 session 与插件缓存等问题 安装、企业治理、Remote Control、Subagents、Plugins 章节要提示排障时优先使用 safe mode 和当前 release notes
OpenClaw v2026.5.27 → v2026.6.1 强化 Agents / CLI runtime 恢复、消息通道稳定性、Skill Workshop、插件持久化、模型/provider 覆盖、Control UI 和 release/diagnostics 证据链 OpenClaw 课程仍按稳定基线教学,但升级排障要加入 Skill Workshop、通道恢复、插件索引和 openclaw doctor 的新判断
Codex App 26.527 → 26.602 Windows computer use / remote control 后,继续补强 appshot、browser/review UI、onboarding、终端位置和 App 稳定性 Codex 主线继续讲 App;安装、桌面工作流、Review 和 Windows 章节要按 App 26.602 口径修正
Codex CLI 0.135.0 → 0.138.0 /app 可把 CLI thread 交给 Desktop,插件命令支持更多 JSON 输出,personal access token v2、image path 暴露、goal/TUI/配置诊断继续增强 CLI 仍是辅助篇;CX-12 只讲排查、CI、MCP/plugin 管理和 App handoff,不反客为主

⚠️ 版本号会随上游更新而失效。教程中标注的版本号是编写/验证时的快照,不代表实时最新。遇到界面、命令或参数不一致时,优先查 App 更新日志、官方文档和 CLI 帮助(--help)。


🔌 第三方模型配置说明

三大工具均支持多种模型接入方式,具体配置见各教程:

产品 支持方式 配置入口
Claude Code Anthropic Console / Claude 订阅 / 第三方兼容提供商(ANTHROPIC_BASE_URL 01-安装指南:API中转站配置
OpenClaw 多个主流提供商(OpenAI / Claude / Gemini / Ollama / 本地模型等,实际以当前模型目录为准) 04-模型配置指南
Codex ChatGPT 账户登录 / OpenAI API Key CX-01 App 安装与认证

⚠️ 第三方模型注意事项

  • 第三方兼容提供商的 API 行为可能不完全等同于官方(速率限制、模型列表、功能支持可能有差异)
  • 本地模型(Ollama 等)能力取决于模型本身,复杂任务可能不如旗舰模型
  • 各提供商计费方式不同,使用前请确认价格策略

🎯 适用人群

  • 刚入门的读者:从未接触过 AI 编程工具,想系统学习
  • 开发者:想用 Claude Code 提升编程效率 + 用 OpenClaw 自动化日常工作
  • 团队负责人 / PM:为团队制定 AI 工具使用规范、评审流程和里程碑验收方式
  • 企业用户:企业级部署、安全边界、权限管理和最佳实践
  • 高校 / 培训机构:设计 AI Coding、Agent 工作流和企业实践课程
  • AI 爱好者:想搭建自己的 AI 私人助手

💡 学习建议

初学者

想学编程 AI → 从 Claude Code Part 1 开始(01 → 04 → 05)

想搭建 AI 助手 → 从 OpenClaw Part 2 开始(OC-01 → OC-02 → OC-03)

想试 Codex → 从 Codex Part 3 开始(CX-01 → CX-02 或 CX-03)

都想学 → 先走 Claude Code CLI 主线,再补 Codex App 桌面工作流,最后学习 OpenClaw 助手框架

进阶者(有基础)

  • Claude Code 重点:04-MCP、05-Hooks、06-Subagent、07-Skills
  • OpenClaw 重点:06-技能系统、08-多Agent路由
  • Codex 重点:CX-05 配置系统、CX-06 Skills、CX-07 MCP

高级者(深度定制)

  • Claude Code:09-Agent-SDK、10-综合实战
  • OpenClaw:08-多Agent、09-Docker部署、10-安全
  • Codex:CX-04 项目指令与权限、CX-08 Subagents、CX-09 Automations、CX-10 Review / PR、CX-13 安全企业
  • 双工具协作:Codex + Claude Code 的定位、边界和共存策略详见 CX-14
  • 长期 Skill 治理:可参考 SkillClaw(skill 演化、去重、合并、共享;论文 arXiv:2604.08377

📞 联系方式

联系方式

获取更多 AI 资讯、企业赋能和高校培训支持

👤 作者:老金 | 🔗 GitHub | 🌐 aiking.dev | 𝕏 老金带你玩AI | 📱 微信公众号:老金带你玩AI

老金的开源知识库,实时更新群二维码:https://my.feishu.cn/wiki/OhQ8wqntFihcI1kWVDlcNdpznFf

☕ 请我喝杯咖啡

如果这个教程对你有帮助,欢迎打赏支持!

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🤝 贡献指南

欢迎提交 Issue 和 Pull Request!

  • 发现错误或过时信息,请提交 Issue
  • 有改进建议,欢迎提交 PR
  • 想分享使用经验,欢迎在 Discussions 讨论

📄 许可证

本项目采用 MIT License 开源协议。你可以复制、修改、分发和商用,但必须在副本或重要片段中保留版权声明与许可声明。教程作者为老金,原始仓库为 KimYx0207/AI-Coding-Guide-Zh,署名与原始来源见 NOTICE


🙏 致谢

感谢所有为 Claude Code 和 OpenClaw 生态做出贡献的开发者和社区成员!


📋 更新说明

完整更新记录统一维护在 CHANGELOG.md。README 保留当前定位、目录、版本基线和阅读入口,避免同一条版本说明在多处漂移。


⚠️ 免责声明

  • Claude Code 教程已按 v2.1.169 重新校准版本口径;OpenClaw 教程以 v2026.6.1 为稳定复核基线,预发布线单独标注;Codex 教程按 Codex App 26.602 与 Codex CLI 0.138.0 修订,CLI 仅作为 CX-12 辅助路径,实际版本以本机和官方文档为准
  • 预发布与 latest 以各项目 Releases 与本机版本为准(持续更新中)
  • 部分功能可能随版本更新而变化,请以官方文档为准
  • 本教程是学习和实践参考,重要项目请先在测试仓库 / 测试环境验证,再进入生产流程

⭐ 如果这个教程对你有帮助,欢迎 Star 支持!

也欢迎把它转给正在学习 AI 编程和 Agent 工作流的朋友。

View on GitHub

Recent activity

commits and pull requests

Releases and announcements

5 total
  1. ## v4.3 - 2026-06-10 - 完成一次面向读者的课程复核,继续以 Claude Code CLI、Codex App、OpenClaw 助手框架三条主线组织内容。 - OpenClaw 文档统一收敛模型、上下文窗口、价格和隐私表述,不再把具体模型名、固定窗口、固定价格或“全部本地”等说法写成默认结论。 - Codex 课程保持 App-first,按 App 工作流重新区分项目指令、权限、Rules、Hooks、Review、Subagents、Automations 和 CLI 辅助章节。 - Claude Code 课程保持 CLI 主线,同时修正本地执行、模型上下文、企业受控 provider 和安全边界的表达。 - 清理重复命令块、示例配置和旧版说明,把完整命令留在主章节,辅助章节改为指向主章节,减少阅读负担。 - README 和更新日志改为更稳的课程说明,并补充 MIT 协议下的版权、署名和原始仓库提示。

  2. ## v4.2 - 2026-05-31 - 全库稳定基线同步至 Claude Code v2.1.158、OpenClaw 稳定版 v2026.5.27、Codex CLI v0.135.0;预发布版本继续按预发布处理,不作为教程默认基线。 - README 重写项目定位、适用人群、学习路线和统计口径,统一表达为 39 篇完整教程 + 1 张速查卡、80 万+ Markdown 内容量、1500+ 实操示例和 250+ 问答条目。 - Codex App 主线强化:CX-02 扩展为 App 桌面工作流主轴,补充 App 主控台认知、三条安全线、Local / Worktree / Cloud 选择表、任务模板、Review 逐项检查法、从零到 PR 实战和课程交叉验证口径。 - Codex 专题继续补强:CX-03、CX-09、CX-10、CX-11、CX-12 分别补充命令工作流、Automations、Review / PR、Cloud 交接和 CLI v0.134.0 -> v0.135.0 差量。 - 修正 Codex 官方文档入口,更新为当前可访问的 App Review、App Automations、App Settings 和 CLI Reference 路径。 - Claude Code 教程补充 v2.1.134 -> v2.1.158 差量,覆盖 Agent View、后台会话、Skills / Hooks、插件、MCP、auto mode、遥测和企业治理等内容。 - OpenClaw 教程补充 v2026.4.24 -> v2026.5.27 差量,覆盖运行基线、Gateway、Transcript、Control UI、语音、Meeting Notes、消息平台、模型目录、Docker 部署和安全边界。

  3. # v4.1 (2026-05-09) | Codex App 教程主线重写 ## 更新重点 - 重写 Codex 系列为 App 单主线:CLI / Web / Cloud 只作为辅助说明。 - 拆分并补全 Commands、项目指令、MCP、Skills、Plugins / Connectors、Subagents、Automations、Review / GitHub / PR、Cloud、CLI、安全企业等章节。 - CX-01 安装篇补齐 Windows 和 macOS 双主线:Windows Microsoft Store / winget / 防火墙 / PowerShell / WSL2,macOS 官方下载 / Gatekeeper / 目录权限 / Command Line Tools。 - 修正 Commands 章节:`/status`、`/plan-mode`、`/review`、`/mcp` 按官方 App Commands 写;`/goal`、`/loop` 写成需要在当前 App 确认的实验/版本相关入口,避免硬编命令表。 - 删除旧 Codex 文件名,不保留旧命名兼容文件;README 已更新到新目录结构。 ## 验证 - `git diff --check HEAD~1..HEAD` 通过。 - 本地 Markdown 链接检查通过。 - `main` 已推送到 GitHub,tag `v4.1` 已推送。

  4. ## v4.0 (2026-05-08) | 三线合一,全新出发 ### 🏷️ 仓库更名 - **`Claude-Code-x-OpenClaw-Guide-Zh` → `AI-Coding-Guide-Zh`** - 更简洁、更包容,覆盖 Claude Code / OpenClaw / Codex 三线教程 ### 🆕 Codex 教程首发(11 篇) - CX-01~CX-11 完整 Codex 中文教程,含 CX-11 与 Claude Code 对比实战指南 - 新增 `docs/codex/` 目录 ### 📝 Claude Code v2.1.133 功能更新(11 篇) - effort 五级推理控制(`xhigh`/`max`,Opus 4.7 默认 `xhigh`) - MCP `alwaysLoad` 跳过 ToolSearch 懒加载 - Hooks 接收 `effort.level` + `$CLAUDE_EFFORT` 环境变量 - `PostToolUse` 可替换工具输出(`updatedToolOutput`) - `worktree.baseRef` 控制 worktree 分叉来源 - Monitor 后台监控工具 / Session Recap / 自定义主题 - `skillOverrides` 设置 / `/skills` 搜索过滤 / `/proactive` 命令 - `parentSettingsBehavior` 企业托管设置合并策略 - `claude project purge` / `CLAUDE_CODE_SESSION_ID` 环境变量 - `--channels` 支持 Console auth / Native binaries - Opus 4.7 成为 Max/Team Premium 默认模型 ### 📊 项目规模 - **36 篇**完整教程 | **180,000+ 字** | **90+ 代码示例** | **230+ FAQ** - Claude Code 13 篇 + OpenClaw 12 篇 + Codex 11 篇 **变更文件**:27 个文件,+5432 行

  5. v3.4 (2026-04-27)v3.4Apr 27, 2026

    ## v3.4 (2026-04-27) | Claude Code v2.1.119 + OpenClaw v2026.4.24 版本同步 ### Claude Code - 全库教程版本号同步至 Claude Code v2.1.119 - 12-Remote-Control、13-Channels 教程课程信息头补齐(GitHub/公众号/X/博客) ### OpenClaw - 全部12篇教程版本号同步至 OpenClaw v2026.4.24 **变更文件**:14个文档文件(2个 Claude Code + 12个 OpenClaw)

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When work happens

weekday and hour
SunMonTueWedThuFriSat036912151821Sun 0:00 — 0 commitsSun 1:00 — 0 commitsSun 2:00 — 1 commitsSun 3:00 — 0 commitsSun 4:00 — 0 commitsSun 5:00 — 0 commitsSun 6:00 — 0 commitsSun 7:00 — 0 commitsSun 8:00 — 0 commitsSun 9:00 — 0 commitsSun 10:00 — 1 commitsSun 11:00 — 0 commitsSun 12:00 — 0 commitsSun 13:00 — 0 commitsSun 14:00 — 2 commitsSun 15:00 — 2 commitsSun 16:00 — 0 commitsSun 17:00 — 1 commitsSun 18:00 — 2 commitsSun 19:00 — 0 commitsSun 20:00 — 0 commitsSun 21:00 — 0 commitsSun 22:00 — 1 commitsSun 23:00 — 0 commitsMon 0:00 — 0 commitsMon 1:00 — 0 commitsMon 2:00 — 0 commitsMon 3:00 — 0 commitsMon 4:00 — 0 commitsMon 5:00 — 0 commitsMon 6:00 — 0 commitsMon 7:00 — 0 commitsMon 8:00 — 0 commitsMon 9:00 — 0 commitsMon 10:00 — 0 commitsMon 11:00 — 1 commitsMon 12:00 — 0 commitsMon 13:00 — 1 commitsMon 14:00 — 0 commitsMon 15:00 — 0 commitsMon 16:00 — 0 commitsMon 17:00 — 0 commitsMon 18:00 — 0 commitsMon 19:00 — 0 commitsMon 20:00 — 0 commitsMon 21:00 — 0 commitsMon 22:00 — 0 commitsMon 23:00 — 0 commitsTue 0:00 — 0 commitsTue 1:00 — 0 commitsTue 2:00 — 0 commitsTue 3:00 — 0 commitsTue 4:00 — 0 commitsTue 5:00 — 0 commitsTue 6:00 — 0 commitsTue 7:00 — 0 commitsTue 8:00 — 0 commitsTue 9:00 — 0 commitsTue 10:00 — 0 commitsTue 11:00 — 0 commitsTue 12:00 — 0 commitsTue 13:00 — 0 commitsTue 14:00 — 0 commitsTue 15:00 — 0 commitsTue 16:00 — 0 commitsTue 17:00 — 0 commitsTue 18:00 — 0 commitsTue 19:00 — 0 commitsTue 20:00 — 1 commitsTue 21:00 — 0 commitsTue 22:00 — 0 commitsTue 23:00 — 1 commitsWed 0:00 — 0 commitsWed 1:00 — 0 commitsWed 2:00 — 3 commitsWed 3:00 — 1 commitsWed 4:00 — 0 commitsWed 5:00 — 0 commitsWed 6:00 — 0 commitsWed 7:00 — 0 commitsWed 8:00 — 0 commitsWed 9:00 — 0 commitsWed 10:00 — 0 commitsWed 11:00 — 0 commitsWed 12:00 — 6 commitsWed 13:00 — 2 commitsWed 14:00 — 1 commitsWed 15:00 — 1 commitsWed 16:00 — 1 commitsWed 17:00 — 1 commitsWed 18:00 — 1 commitsWed 19:00 — 0 commitsWed 20:00 — 2 commitsWed 21:00 — 2 commitsWed 22:00 — 0 commitsWed 23:00 — 0 commitsThu 0:00 — 1 commitsThu 1:00 — 1 commitsThu 2:00 — 0 commitsThu 3:00 — 0 commitsThu 4:00 — 0 commitsThu 5:00 — 0 commitsThu 6:00 — 0 commitsThu 7:00 — 0 commitsThu 8:00 — 0 commitsThu 9:00 — 0 commitsThu 10:00 — 1 commitsThu 11:00 — 0 commitsThu 12:00 — 1 commitsThu 13:00 — 0 commitsThu 14:00 — 0 commitsThu 15:00 — 0 commitsThu 16:00 — 0 commitsThu 17:00 — 0 commitsThu 18:00 — 0 commitsThu 19:00 — 0 commitsThu 20:00 — 0 commitsThu 21:00 — 0 commitsThu 22:00 — 0 commitsThu 23:00 — 0 commitsFri 0:00 — 0 commitsFri 1:00 — 0 commitsFri 2:00 — 0 commitsFri 3:00 — 0 commitsFri 4:00 — 0 commitsFri 5:00 — 0 commitsFri 6:00 — 0 commitsFri 7:00 — 0 commitsFri 8:00 — 0 commitsFri 9:00 — 0 commitsFri 10:00 — 0 commitsFri 11:00 — 1 commitsFri 12:00 — 0 commitsFri 13:00 — 0 commitsFri 14:00 — 0 commitsFri 15:00 — 0 commitsFri 16:00 — 0 commitsFri 17:00 — 0 commitsFri 18:00 — 0 commitsFri 19:00 — 1 commitsFri 20:00 — 1 commitsFri 21:00 — 0 commitsFri 22:00 — 0 commitsFri 23:00 — 2 commitsSat 0:00 — 0 commitsSat 1:00 — 0 commitsSat 2:00 — 0 commitsSat 3:00 — 0 commitsSat 4:00 — 0 commitsSat 5:00 — 0 commitsSat 6:00 — 0 commitsSat 7:00 — 0 commitsSat 8:00 — 0 commitsSat 9:00 — 0 commitsSat 10:00 — 1 commitsSat 11:00 — 1 commitsSat 12:00 — 2 commitsSat 13:00 — 1 commitsSat 14:00 — 0 commitsSat 15:00 — 2 commitsSat 16:00 — 0 commitsSat 17:00 — 1 commitsSat 18:00 — 0 commitsSat 19:00 — 0 commitsSat 20:00 — 0 commitsSat 21:00 — 0 commitsSat 22:00 — 0 commitsSat 23:00 — 0 commits
Commit volume by weekday and hour (UTC). Larger dots mean more commits.

Who is committing

last 52 weeks
Maintainer commits51 (94%)
Community commits3 (6%)

54 commits in total over the last year.

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