ponponon/claude_code_src

• highreadme#1

  Reposition the core project description to the top of the README

  Why:

  CURRENT

  # Claude Code 2.1.88 Source Recovery
  
  <p align="center">
    
    
    
    
  </p>
  
  ## 🌟 强力推荐：DataEyesAI - 你的全能 AI 助手
  
  > **想要像 Claude Code 一样高效，却苦于没有稳定的 API 接入？DataEyesAI** 是为你量身打造的一站式 AI 聚合平台！
  
  - ⚡ **聚合全球顶尖模型**：一键接入 GPT-5、Claude 4.6、Gemini 3.1 等主流大模型。
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  > [!IMPORTANT]
  > **这是一个针对 `@anthropic-ai/claude-code` 2.1.88 版本的源码整理与重建项目。**
  > 该版本发布到 npm 时附带了可还原源码的 source map。本项目基于 `sources` 和 `sourcesContent` 将其还原为可读的源码目录，旨在研究 Claude Code 的 CLI 架构、命令系统及 MCP 实现。
  > 
  > 从 cli.js.map 还原后，一共有 70w 行代码

  COPY-PASTE FIX

  Copy

  # Claude Code 2.1.88 Source Recovery
  
  > [!IMPORTANT]
  > **这是一个针对 `@anthropic-ai/claude-code` 2.1.88 版本的源码整理与重建项目。**
  > 该版本发布到 npm 时附带了可还原源码的 source map。本项目基于 `sources` 和 `sourcesContent` 将其还原为可读的源码目录，旨在研究 Claude Code 的 CLI 架构、命令系统及 MCP 实现。
  >
  > 从 cli.js.map 还原后，一共有 70w 行代码
  
  ## 🚀 快速安装 (镜像源)
  
  背景：2026.03.31 claude code 上 npm 上传了包含 claude code 源码的 `cli.js.map` 文件
  
  由于 2.1.88 版本已从官方 npm 下架，直接使用 `npm install @anthropic-ai/claude-code@2.1.88` 会报错，你可以通过腾讯缓存镜像进行安装：
  
  ```shell
  npm install -g https://mirrors.cloud.tencent.com/npm/@anthropic-ai/claude-code/-/claude-code-2.1.88.tgz
  ```
  
  > 手慢无，不知道腾讯云的镜像缓存什么时候也没了
  
  可以关注我的公众号，行业第一手信息，都会发在文章中
  
  ## 项目结构概览
  
  本项目以 `src/` 为核心，高度还原了原始代码组织：
  
  `src/entrypoints/`CLI 入口与初始化逻辑
  `src/commands/`强大的命令系统 (`login`, `mcp`, `review`, `tasks` 等)
  `src/components/`基于 **React + Ink** 的终端 UI 组件
  `src/services/`核心业务逻辑 (策略、同步、远程能力等)
  `src/hooks/`交互式终端状态管理
  `src/utils/`认证、文件操作、进程管理等工具函数
  `src/ink/`定制的终端渲染基础设施
  
  ## 源码亮点
  
  从还原的代码中，我们可以深入探索以下核心设计：
  
  命令装载机制**：支持内建命令、动态 skills、插件及 MCP 命令的混合装载。
  终端 UI 艺术**：如何利用 React 组件在终端中构建复杂的交互界面。
  MCP 深度集

  OpenDoneDismiss
• hightopics#2

  Add relevant topics to the repository

  Why:

  COPY-PASTE FIX

  Copy

  javascript, source-code, reverse-engineering, claude-ai, npm, source-map, cli-analysis, code-recovery, anthropic

  OpenDoneDismiss
• mediumlicense#3

  Add a LICENSE file to the repository

  Why:

  COPY-PASTE FIX

  Copy

  Create a `LICENSE` file in the repository root with the content of the MIT License:
  
  ```
  MIT License
  
  Copyright (c) [YEAR] [FULL NAME]
  
  Permission is hereby granted, free of charge, to any person obtaining a copy
  of this software and associated documentation files (the "Software"), to deal
  in the Software without restriction, including without limitation the rights
  to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  copies of the Software, and to permit persons to whom the Software is
  furnished to do so, subject to the following conditions:
  
  The above copyright notice and this permission notice shall be included in all
  copies or substantial portions of the Software.
  
  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  SOFTWARE.
  ```

  OpenDoneDismiss

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  How to recover original source code from a JavaScript application's distributed bundle?

  you: not recommended
  AI recommended (in order):

  1. Chrome DevTools
  2. Firefox Developer Tools
  3. Safari Web Inspector
  4. Edge DevTools
  5. Prettier (prettier/prettier)
  6. ESLint (eslint/eslint)
  7. JSBeautifier.org
  8. JSNice (sola-da/jsnice)
  9. de4js (de4js/de4js)
  10. JavaScript-Deobfuscator (by j4k0b) (j4k0b/javascript-deobfuscator)
  11. Babel (babel/babel)
  12. Acorn (acornjs/acorn)

  AI recommended 12 alternatives but never named ponponon/claude_code_src. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  What are tools to analyze the internal command-line interface structure of a large JavaScript project?

  you: not recommended
  AI recommended (in order):

  1. Commander.js (tj/commander.js)
  2. Yargs (yargs/yargs)
  3. Oclif (oclif/oclif)
  4. Gluegun (infinitered/gluegun)
  5. AST Explorer
  6. @babel/parser (babel/babel)
  7. grep
  8. ack (beyondgrep/ack)
  9. ripgrep (BurntSushi/ripgrep)

  AI recommended 9 alternatives but never named ponponon/claude_code_src. This is the gap to close.

  Show full AI answer

• Metadata completeness

  fail

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of ponponon/claude_code_src?

  pass
  ⚠AI did not name ponponon/claude_code_src — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts ponponon/claude_code_src in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named ponponon/claude_code_src explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo ponponon/claude_code_src solve, and who is the primary audience?

  pass
  ⚠AI did not name ponponon/claude_code_src — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?