Writing code with AI is great, but when a project becomes complex and involves many contexts, the AI is prone to "talking nonsense," resulting in unmaintainable code that eventually becomes a mess. I recently came across Vibe Coding on GitHub, a practical guide that provides a complete methodology for AI-assisted programming, helping us avoid common pitfalls. The core concept is "planning first": instead of letting AI plan autonomously, AI is guided through documents such as design documents, technology stack selection, and implementation plans to ensure that the codebase always maintains a clear structure and consistency. GitHub: https://t.co/VKlDgY4Xcb It provides a complete set of standardized system prompts, project directory templates, and end-to-end scripts from requirements clarification to code implementation. It also includes hundreds of prompts applicable to various scenarios, a meta-prompt generator, and a skills library. Students who are preparing to develop large projects using Claude Code or Codex can take a look at this guide first.
