PetrGuan

PetrGuan / claude-code-anatomy

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Interactive visualization of Claude Code's source architecture

petrguan.github.ioclaude-code-anatomy
24
0
100% credibility
Found Apr 02, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Interactive bilingual website offering visualizations, games, and explanations of Anthropic's Claude Code AI terminal coding assistant architecture.

How It Works

1
🌐 Discover the site

You stumble upon this colorful website that breaks down how an AI coding buddy works in the terminal.

2
📊 See the big picture

Check out bubbly diagrams and maps showing all the connected parts like queries, tools, and security.

3
🎮 Play fun games

Dive into pixel adventures and runners that let you guide a message through the AI's thinking process step by step.

4
Choose your adventure
🔍
Core basics

Learn how user chats turn into smart actions with tools and safety checks.

🚀
Advanced features

Uncover plugins, multi-AI teams, and clever space-saving tricks.

5
🔄 Toggle easy or deep views

Switch between simple stories and detailed peeks under the hood on every page.

6
🧩 Interact with demos

Try simulators for permissions or trace real code paths to see decisions in action.

💡 Master the inner workings

You now understand how the AI coding assistant plans, acts safely, and stays efficient!

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Star Growth

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AI-Generated Review

What is claude-code-anatomy?

Claude-code-anatomy is an interactive visualization of Anthropic's Claude Code, a 512K-line TypeScript CLI for terminal-based AI coding assistance. It breaks down the architecture through D3-powered maps, bubble charts, flow diagrams, and React components like permission simulators and code tracers. Developers get a playable deep-dive into query pipelines, tool orchestration, and security layers via GitHub Pages, with English/Chinese support and full-text search.

Why is it gaining traction?

It stands out with gamified interactives—Pixel RPG for message flow, ToolTetris for read/write scheduling, QueryRunner for streaming—that teach complex concepts without reading source code. Responsive design, dark/light themes, and Shiki highlighting make it accessible on any device, turning claude code anatomy into an engaging tutorial rather than dry docs.

Who should use this?

AI tool builders reverse-engineering Claude Code's internals, terminal UI devs studying Ink rendering, or Anthropic users optimizing prompts/tools. Ideal for those dissecting permission systems or agent coordination before building similar CLIs.

Verdict

Strong learning tool for interactive visualization fans, despite 11 stars and 1.0% credibility score signaling early maturity. Fork it for custom anatomy views—docs and live demo deliver immediate value.

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