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Vibe Coding 指南

A Chinese-language guide and collection of prompts and workflows for building software by pairing with AI.2025Emma/vibe-coding-cn

Stars
23.1k
Forks
2.4k
Licence
MIT
Language
Python
Last update
11 months ago
Type
Learning resource

What it is

This is a documentation-style repository, written mainly in Chinese, that collects a methodology, principles, prompts, and tool recommendations for "vibe coding", the practice of building software by working closely with AI assistants. It emphasizes planning the project structure first, keeping modules separate, and giving the AI clear context. The README also lists IDEs, terminals, and AI models that the author recommends.

  • Read the planning principles before starting a new AI-assisted project
  • Browse the linked prompt collections and skill lists
  • Follow the suggested workflow of defining goals and non-goals before asking AI to write code
  • Use the recommended tool list as a starting point for choosing an editor or terminal

Great for

  • Chinese-speaking developers who want a structured approach to working with AI coding assistants
  • Beginners looking for a planning-first workflow for AI-assisted projects
  • People who want a curated list of prompts and AI-tool recommendations
  • Developers interested in the author's recursive prompt-optimization ideas

Not ideal for

  • Readers who need software they can install and run; the README describes guidance, not an installable product
  • Readers who do not read Chinese, since the main README is in Chinese and the English version is only linked
  • Anyone wanting independent, verified benchmarks; the README itself says the experience shared is not universally applicable
Step-by-step guide: how to use Vibe Coding 指南Install, first run, examples, tips and FAQs

How to get it

  1. 1

    Read it online

    Clone the repository

    git clone https://github.com/2025Emma/vibe-coding-cn
  2. 2

    Run it

    • Open the README in the repository (the Chinese version is at i18n/zh/README.md, English at i18n/en/README.md)
    • Read the core principles and methodology sections
    • Browse the linked prompt and skills folders
    • Pick one practice, such as writing a one-sentence goal plus non-goals, and try it on a small project
  3. 3

    Get the most out of it

    • Start with the English version at i18n/en/README.md if Chinese is hard to read
    • Use the linked prompt spreadsheet and prompt library folders as reusable starting points
    • Apply the planning-first principle: write the structure before generating code
    • Treat the recommendations as options to test, as the README itself advises

Downloads

Strengths

  • Large, actively followed collection with many translations linked from the README
  • Clear, opinionated workflow that stresses planning, modularity, and documentation as context
  • Honest disclaimer that the shared practices should be adapted rather than applied blindly

Trade-offs

  • The README is largely opinionated guidance and some tool recommendations are subjective
  • Tool and model names listed may change quickly and are not verified here
  • The provided README is truncated, so the full scope of resources could not be checked

Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.