Summary

This repository provides a practical, hands-on guide to mastering AI coding tools, moving beyond theoretical concepts to actionable implementation. It targets engineers and power users seeking to significantly enhance their coding efficiency by offering best practices, detailed tutorials for 10 popular AI coding tools, and reusable configuration templates. The core benefit is enabling users to effectively leverage AI for complex coding tasks, from prompt engineering to multi-tool workflow design.

How It Works

The guide adopts a "how-to-use-it well" approach, eschewing abstract concepts for concrete application. It details 10 AI coding tools, including Claude Code, Cursor, and GitHub Copilot, with specific tutorials covering core concepts, quick starts, prompt techniques, advanced usage, and configuration templates. Complementing tool-specific advice are seven general methodologies addressing prompt engineering, requirement decomposition, code review, debugging, context management, testing strategies, and security. Practical workflow examples and a collection of common pitfalls ("陷阱合集") further solidify learning.

Quick Start & Requirements

This guide is a curated resource rather than a software package requiring direct installation. Users are directed to a "Cheat Sheet" for a quick comparison of 10 tools and recommended learning paths tailored to different user profiles (e.g., beginners, frontend/backend developers, Copilot migrants). Specific AI tools mentioned will have their own installation and dependency requirements, which are detailed within their respective sections of the guide. Links to online reading versions and cheat sheets are provided.

Highlighted Details

• Features 66 specific tips for Claude Code and best practices for 10 mainstream AI coding tools.
• Offers reusable configuration templates and 7 general methodologies for effective AI-assisted coding.
• Includes a comparative cheat sheet for 10 tools and user-profile-based recommended learning paths.
• Provides practical workflow examples and a collection of 16 common pitfalls across major tools.

Maintenance & Community

The project is actively maintained under the "AI不止语" brand, with related projects forming a broader AI development ecosystem. Community engagement is facilitated through a WeChat Official Account, a QQ group (1071280067), and WeChat groups. Contributions are welcomed via GitHub Issues and Pull Requests, with a dedicated CONTRIBUTING.md file. Business inquiries and consultations are handled via the WeChat Official Account or GitHub Issues.

Licensing & Compatibility

The main repository content (tutorials, templates, scripts) is licensed under Apache-2.0, permitting broad personal and commercial use with attribution. However, the "book/" directory content uses CC BY-NC-SA 4.0, restricting commercial use without explicit authorization. Specific commercial scenarios like enterprise training, paid courses, consulting, publishing, or white-labeling require prior communication and potential licensing agreements.

Limitations & Caveats

The primary limitation stems from licensing: while the core guide is Apache 2.0, the "book/" directory content is non-commercially licensed (CC BY-NC-SA 4.0), requiring separate authorization for business applications. Certain commercial uses, such as enterprise training or white-labeling, are explicitly flagged as requiring prior consultation, indicating potential complexities beyond standard open-source adoption.