tradecatlabs/vibe-coding-cn

Vibe Coding 从入门到精通教程|AI 结对编程工作流|Prompt、Skill、Workflow、上下文管理、codex实战指南

View on GitHub ↗Jump to charts ↓

Summary Information

Updated 58 minutes ago
Added to GitGenius on September 13th, 2026
Created on November 23rd, 2025
Open Issues & Pull Requests: 8 (+0)
GitHub issues: Enabled
Number of forks: 1,644
Total Stargazers: 16,194 (+0)
Total Subscribers: 77 (+0)

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Issue API getrepoissuespagesummary failed: 429 Rate limit exceeded. Please try again later.

Detailed Description

Vibe Coding is a comprehensive tutorial and workflow guide for AI-assisted pair programming that teaches developers how to work effectively with AI coding tools.

The project addresses the challenge of integrating AI into development workflows by providing a structured methodology centered on prompt engineering, skill development, context management, and quality assurance. It teaches developers how to move from initial ideas to finished products using AI pair programming, emphasizing the connection between prompts, skills, workflow design, context handling, and engineering closure. The guide covers practical applications with tools like Claude, Cursor, and Gemini, offering both conceptual frameworks and hands-on guidance for implementing AI-assisted coding practices.

Developers should choose this resource if they are learning to work with AI coding assistants and want a systematic approach rather than ad-hoc experimentation. It suits teams and individuals adopting tools like Cursor or Claude Code who need structured guidance on prompt strategies, skill organization, and workflow design. The project is written in Chinese and targets developers in that language community seeking comprehensive training from fundamentals through advanced techniques.

The project maintains active engagement through community channels including social media and messaging platforms. Documentation is organized across multiple sections covering foundational concepts, practical experience guides, and research into emerging AI coding patterns. The repository includes structured learning paths with badges directing users to core frameworks, conceptual foundations, and specialized topics like keyword systems and glue coding approaches.