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Vibe Vibe

Vibe Vibe (⚠️ Alpha Preview)

Vibe Vibe — AI Creation for Everyone

An open-source learning project for people who want to turn ideas into real products with AI. From “I have an idea” to “I shipped something”, Vibe Vibe helps beginners, builders, and developers learn through real projects.

Core Idea

Vibe Vibe is inspired by Andrej Karpathy's idea of Vibe Coding: moving from manually writing every line to collaborating with AI through clear goals, context, review, and iteration.

In practice, this project is not only about "AI programming". It is about using AI to:

  • turn ideas into working products
  • prototype quickly and learn by building
  • gain enough technical leverage to keep iterating and shipping

Who It Is For

You are...Best starting point
A complete beginnerFundamentals
Someone who uses ChatGPT / Claude but has never shipped a projectFundamentals
A developer who wants a stronger AI-native workflowAdvanced
Someone who wants project practicePractice
Someone who wants curated learning resourcesArticles

Self-Hosted Deployment

If you want to deploy the site inside a local or private network, this repository already includes a ready-to-use Dockerfile and docker-compose.yml:

docker compose up -d --build

The default address is http://localhost:1024.

For full deployment options, static-file hosting, and offline-environment notes, see the deployment guide.

Project Structure

Vibe Vibe currently has four major parts:

SectionWhat it coversBest for
FundamentalsBeginner-friendly path from idea to first working projectComplete beginners and first-time builders
AdvancedFull-stack delivery, architecture, deployment, collaboration, and engineering habitsDevelopers who want a more systematic workflow
PracticeHands-on cases for different audiences and use casesLearners who want to build by doing
ArticlesCurated references, trends, and deeper readingContinuous learners

What You Can Learn Here

  • how to describe ideas clearly enough for AI to execute
  • how to iterate instead of waiting for a perfect first version
  • how to go from prototype to local project to deployment
  • how to build better product judgment, not just tool familiarity
  • how to keep learning full-stack development through real use cases

Quick Start

Maintainers and Contributors

NameRoleBio
符航康Project Lead & Core ContributorA native builder in the AI era
齐国皓Project Lead & Core ContributorNUS School of Computing, founder of the Hunan University FinTech Association
刘磊Practice Contributor, Visual ContributorBackend engineer from UCAS, loves sharing and Vibe workflows
陈俊希Articles ContributorPresident of the Hunan University FinTech Association
金龙Practice ContributorPKU AI Club vice minister, graduate student
舒璐璐Practice ContributorFounder of Hunan University "Lushan Humanities+"

Contributing

  • Found an issue? Open an Issue.
  • Want to improve the project? Open a Pull Request.
  • Interested in launching a new Datawhale open-source project? Follow the Datawhale open-source guide.

License

This project is released under the CC BY-NC-SA 4.0 license.

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