AI Coding Guide Zh
AI Coding Guide Zh is an open-source educational repository that provides comprehensive Chinese-language tutorials for popular AI coding tools, including Claude Code, OpenClaw, and Codex. The repository contains 39 complete tutorials plus a quick reference cheat sheet, totaling over 800,000 characters of content and more than 1,500 practical examples. It is designed to help developers and AI enthusiasts master AI-assisted coding and agent-based workflows. The guide follows three structured learning paths: AI Coding, Agent development, and a combined track, catering to learners at different levels. Topics range from basic setup and command usage to advanced agent orchestration and real-world case studies. Each tutorial is written in Chinese, making it accessible to Chinese-speaking developers who may lack equivalent resources in their native language. As an open-source project, the repository is freely available on GitHub, allowing users to clone, fork, and contribute. While it is not an executable tool, it serves as an extensive reference manual and learning curriculum for anyone looking to adopt AI coding agents in their development workflow.
- Category
- LLM
- Pricing
- Open Source
Problem solved
The project addresses the scarcity of high-quality, structured Chinese documentation for modern AI coding tools like Claude Code, OpenClaw, and Codex. It consolidates tutorials, examples, and a cheat sheet into a single repository, enabling Chinese-speaking developers to quickly learn and apply AI coding agents without relying on fragmented or English-only resources.
Use cases
- Learn to use Claude Code for automated coding tasks
- Master OpenClaw for building agent-based workflows
- Follow structured tutorials for Codex integration
- Use the quick reference cheat sheet for daily commands
- Build practical AI coding agents with 1500+ examples
- Self-paced learning for AI coding in Chinese
Audience
- Developers
- ML Engineers
- Data Scientists
- Researchers
- Hobbyists
Pros
- Comprehensive Chinese tutorials for popular AI coding tools
- Includes 39 complete tutorials and a cheat sheet
- Large volume of practical examples (1500+)
- Three structured learning paths for progressive skill building
- Open source and freely accessible on GitHub
Cons
- Content is exclusively in Chinese, limiting non-Chinese speakers
- No executable code or tool, purely educational material
- Not an official documentation; may lack depth in some areas
- May become outdated quickly as AI tools evolve
- Large volume may be overwhelming for absolute beginners
Official website: https://github.com/KimYx0207/AI-Coding-Guide-Zh
Canonical LambdaBase page: https://www.lambdabase.com/tools/ai-coding-guide-zh