This tutorial addresses the fragmentation of learning resources for "Vibe Coding" (AI-assisted programming) in China, offering a systematic, open-source guide from zero to full-stack practical application. It targets individuals with no programming background, students, entrepreneurs, and professionals, empowering them to become "Builders" by transforming programming into a conversational creation process using natural language and AI. The primary benefit is enabling users to rapidly realize ideas and build products with AI assistance.

How It Works

The project champions Andrej Karpathy's "Vibe Coding" philosophy, shifting the paradigm from "Coder" to "Commander" through natural language dialogue with AI. This approach abstracts direct coding, focusing on conceptualization and instruction. The tutorial is structured into four progressive sections: Basic (AI programming fundamentals), Advanced (full-stack development), Practice (project implementation), and Quality Articles (curated resources), guiding users through a comprehensive learning path.

Quick Start & Requirements

The primary access point is the online tutorial at www.vibevibe.cn. The README provides a tailored starting point based on the user's existing programming knowledge, ranging from complete beginners to those with prior coding experience. While the tutorial itself doesn't list specific software prerequisites for accessing the content, the "Advanced" section covers setting up development environments for full-stack projects, including Node.js and Docker.

Highlighted Details

• Systematic Vibe Coding Guide: Positioned as the first systematic, open-source tutorial for Vibe Coding in China.
• Four-Part Curriculum: Covers AI programming basics, full-stack development, practical project execution, and curated learning resources.
• "Coder to Commander" Philosophy: Emphasizes natural language interaction with AI for efficient product development.
• Learning Outcomes: Aims to equip users with the ability to independently complete projects, deploy them, and master modern full-stack development skills.

Maintenance & Community

The project lists several core contributors and section contributors, including students from prominent universities. Feedback and contributions are encouraged via GitHub Issues or by contacting the "保姆团队" (Nanny Team). No explicit community channels like Discord or Slack are provided in the README.

Licensing & Compatibility

The project is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. This license explicitly prohibits commercial use and requires derivative works to be shared under the same terms, significantly restricting its applicability for commercial projects.

Limitations & Caveats

The CC BY-NC-SA 4.0 license imposes a strict non-commercial usage restriction, making it unsuitable for adoption in business or profit-driven projects. The tutorial's effectiveness is also dependent on the availability and terms of external AI tools. Furthermore, the content is primarily in Chinese, which may present a barrier for non-Chinese speaking users.