datawhalechina/easy-vibe
datawhalechina/easy-vibe — 19.7k★ on GitHub (JavaScript). 💻 vibe coding 101｜The first course for AI-native product builders.
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Learn AI coding from zero by shipping real products.
从零开始学 AI 编程，把想法真正做成产品。
你好 · Hello · 哈囉 · こんにちは · 안녕하세요 · Hola · Bonjour · Hallo · مرحبا · Xin chào
Our tutorial supports 10 languages. Let's code together!
我们的教程支持 10 种语言，欢迎世界各地的朋友一起 coding！
🚀 Start Exploring · ✨ Interactive Tutorial · 🦞 Learn OpenClaw · 📖 Table of Contents
🚀 开始体验 · ✨ 交互式教程 · 🦞 学习 OpenClaw · 📖 查看目录
Read Online ·
Learning Map
开始阅读 ·
学习地图
A beginner-friendly learning map Clear guidance from zero, so you can stop "learning and forgetting" |
Step-by-step visual tutorials Detailed walkthroughs that feel like learning with a private tutor |
Immersive simulated coding Virtual mouse guidance helps you quickly learn the core IDE workflow |
Visible AI principles Animated explanations make it easy to see how AI generates images |
Learn RAG like a game Interactive components let you click through the full RAG data flow |
Visual terminal concepts Command-line behavior becomes intuitive when the underlying logic is visualized |
⭐ Star the repo here to help accelerate updates ❤️
📝 Have your own vibe coding story? Submit it here and inspire others!
Table of Contents
- Why Easy-Vibe
- News
- Who This Is For
- Your Learning Paths
- Study Suggestions
- I. Beginner Entry
- II. Junior and Mid-Level Developers
- III. Advanced Developers
- Appendix Knowledge Base
- How To Learn
- Run Locally
- Other Courses
- Contributing & Contributors
- LICENSE
Why Easy-Vibe
Want an expense tracker? Say it.
Need a booking system with WeChat login? Say it.
Want a blog with comments? Say it.
In the AI era, programming starts by describing what you want.
Easy-Vibe teaches you how to turn that into a real product.
🔥 News
- [2026-08-12] 📘 Stage 1 has been restructured and polished: The beginner path now starts with real problems and proceeds through finding opportunities, choosing a direction, understanding user needs, conducting interviews, narrowing the solution, building a prototype, integrating AI, and completing a presentable project. The explanations, real-world examples, images, and hands-on exercises have also been revised. Stage 1 is now better suited to complete beginners, first-time product builders, and indie developers who want to move from a real need to a prototype that can be shown to users. 👉 Start with Stage 1
- [2026-06-17] 🌍 Full multilingual coverage complete: All tutorial content (Stages 1-3) is now available in 10 languages (zh-cn, en, zh-tw, ja-jp, ko-kr, es-es, fr-fr, de-de, ar-sa, vi-vn), covering product prototyping, full-stack development, and cross-platform development.
- [2026-03-29] ✨ Vibe Stories launched and upgraded with real user journeys: Added a new homepage Vibe Stories section with an interactive carousel and dedicated story pages, then replaced placeholder content with four real user stories featuring a rural primary school teacher, a college student, a high school IT teacher, and a truck driver who built real products with AI. 👉 View the stories
- [2026-03-26] 🚀 Major Stage 2 practice update: Completed the SaaS capstone project "Your First SaaS Full-Stack App: Copywriting Generator Website" and substantially expanded the "How to integrate Stripe and payment systems" section, plus key content around multi-product UI and WeChat Mini Program backend workflows.
- [2026-03-25] 📚 New appendix: User Research and Requirement Validation: Added four new articles covering idea sourcing, the Double Diamond model, Jobs to Be Done, and The Mom Test to help beginners discover and validate product ideas. 👉 Read the appendix
- [2026-03-25] 📚 English documentation fully updated: Stage 2 (Full-stack Development) and Stage 3 (Advanced Development) are now fully available in English. 👉 Start learning
Past News
- [2026-03-02] 🦞 OpenClaw and AI Agent friendly support: Added
llms.txtso OpenClaw, Claude, Cursor, Trae, and other AI agents can quickly understand the repository structure and find the right tutorial content. - [2026-03-01] The Advanced Development section has been comprehensively upgraded with deep guides for Claude Code, including MCP, Skills, Agent Teams, and more, along with eight cross-platform project tutorials.
- [2026-02-25] Updated the Appendix Knowledge Base, now covering 9 knowledge areas and 80+ interactive topics.
- [2026-01-27] Added Android and iOS app development tutorials.
- [2026-01-19] Released interactive demos for Prompt Engineering, AI history, authentication design, Git principles, and more.
- [2026-01-16] Reorganized the project structure and formally established a beginner entry path.
- [2026-01-14] Completed a large update to the Stage 1 product prototyping docs.
- [2026-01-13] Refactored the documentation architecture and fully enabled multi-language support.
- [2026-01-01] Released the core learning map for the project.
Who This Is For
- Complete beginners: Build your first project first, then understand how it works
- Product managers / founders: Validate ideas fast and build MVPs at low cost
- Students: Develop practical skills for the AI era
- Junior developers: Learn the full path from idea to launch
- Mid-level and senior developers: Upgrade your AI collaboration workflow for complex projects
Your Learning Paths
🎮 I want a fast first win
Best for: Everyone What you will learn: What AI coding actually feels like through a simple, concrete hands-on example What you will get: A clear first impression of vibe coding and how to work with AI by conversation
Start here
💡 I want to turn an idea into a product prototype
Best for: Beginners / product managers / founders What you will learn: Learning roadmap, AI IDE tools, idea validation, prototyping, AI capability integration, and full demo iteration What you will get: A demoable AI product prototype you can actually show to users or teammates
Start learning
🚀 I want to build full-stack products end to end
Best for: Junior developers / indie hackers / advanced learners What you will learn: Frontend workflows, design-to-code, databases, backend APIs, deployment, billing, and major projects What you will get: The ability to independently ship modern AI-enabled web applications
Start learning
AI-Native: I want advanced Claude Code and agent workflows
Best for: Developers interested in AI-native engineering What you will learn: Claude Code, MCP, Skills, Agent Teams, long-running tasks, Spec Coding, and cross-platform app delivery What you will get: A stronger workflow for complex AI-assisted development and automation
Go to advanced development
📚 I want reference material and fundamentals
Best for: Everyone What you will learn: Computer fundamentals, frontend/backend basics, infrastructure, AI principles, and engineering practices What you will get: A long-term reference knowledge base covering 9 major knowledge areas
Browse the knowledge base
Study Suggestions
- If you are a beginner, product manager, or founder, start with Stage 1
- If you want to move from prototypes to full-stack delivery, start with Stage 2
- If you want advanced Claude Code workflows or cross-platform projects, go to Stage 3
- If you get blocked by concepts or missing background knowledge, use the Appendix Knowledge Base
📖 Content Navigation
I. Beginner Entry
| Section | Key Content |
|---|---|
| Learning Map | A guided overview of the full learning journey |
| AI Era: If You Can Speak, You Can Code | Get your first feel for AI coding through examples like Snake |
| Master AI Programming Tools | Learn how AI IDE tools work and build simple local projects with them |
| Find Great Ideas | Learn how to discover and validate product ideas worth building |
| Build Product Prototypes | Move from requirements to single-page and multi-page product prototypes |
| Integrate AI Capabilities | Integrate text, image, and video AI features |
| Complete project practice | Simulate real scenarios, collect user feedback, and iterate on a full project |
Appendix: Product and Business Thinking
| Section | Key Content |
|---|---|
| Product Thinking and Solution Design | Core frameworks for going from zero to one with a product |
| AI Application Scenario Reference (B2B & B2C) | B2B industry and B2C consumer AI application scenarios |
Appendix: User Research and Requirement Validation
| Section | Key Content |
|---|---|
| Where to find ideas: 3 reference sources that work best for beginners | Build a reliable pipeline for finding concrete product opportunities |
| Double Diamond: first do the right thing, then do it right | Use a structured process to move from scattered inspiration to a workable direction |
| Use Jobs to Be Done to find what users really want done | Analyze user goals through real tasks instead of surface-level feature requests |
| The Mom Test: a user interview method for validating demand | Learn how to ask better questions and avoid false-positive feedback |
Appendix: Technical Solutions
| Section | Key Content |
|---|---|
| What to do if you encounter errors | Common vibe coding issues and how to troubleshoot them |
| Comparison of Seven AI Programming Tools | Compare major AI coding platforms through hands-on testing |
| Design Websites with Agents | Learn multi-agent collaboration in practice |
II. Junior and Mid-Level Developers
Frontend
| Section | Key Content |
|---|---|
| Frontend 0: Build Your Own Asset-Production Agent with Lovart | Use Nanobanana and Lovart to batch-generate visual assets and build a drawing agent with intent recognition |
| Frontend 1: Figma & MasterGo Basics | Learn the workflow from design drafts to implementation-ready UI thinking |
| Frontend 2: Build Your First Modern App - UI Design | Learn the UI design foundations behind modern application interfaces |
| Frontend 3: UI Guidelines and Multi-Product Design | Improve consistency and aesthetics across multiple products with shared UI rules |
| Frontend 4: Make Interfaces Beautiful with LLMs and Skills | Use prompts and plugins to make AI generate more polished, distinctive interfaces |
| Frontend 4: Let's Build Hogwarts Portraits | Build an interactive AI-image frontend project from scratch |
| Frontend 6: From Design Prototype to Project Code | Turn design prototypes into frontend code that can really run in the browser |
| Frontend 7: Upgrade Your UI with Modern Component Libraries | Use component libraries to build professional interfaces faster |
Backend
| Section | Key Content |
|---|---|
| Backend 1: Learn Git and GitHub | Master core version control operations and collaboration workflows with Git |
| Backend 2: From Database to Supabase | Learn relational database basics and use Supabase as a modern BaaS platform |
| Backend 3: Backend API Design and Development | Use AI to assist API design, backend code generation, and API documentation |
| Backend 4: Ship Your Product Prototype | Quickly deploy full-stack applications to the cloud with Zeabur |
| Backend 5: From IDEs to CLI AI Coding Tools | Explore terminal-first AI coding workflows for modern development |
| Backend 6: Integrate Stripe and Other Billing Systems | Add monetization with payment and billing capabilities |
Major Projects
| Section | Key Content |
|---|---|
| Major Project 1: Your First SaaS Full-Stack App - AI Copywriting Website | Build an AI marketing copy workspace with login, generation, billing, and admin management |
| Major Project 2: Online Exam and Management System | Build an online exam system with question generation, test-taking flows, and admin tools |
AI Capabilities Appendix
| Section | Key Content |
|---|---|
| AI 1: Dify Basics & Knowledge Base Integration | Learn to build AI applications with Dify and integrate private knowledge bases |
III. Advanced Developers
Claude Code Core Skills
| Section | Key Content |
|---|---|
| Getting started with Claude Code | Installation, setup, fundamentals, and useful commands |
| Claude Code MCP guide | Connect Claude Code to GitHub, databases, APIs, and other services through MCP |
| Claude Code Skills guide | Package expertise into reusable skills you can use again and again |
| How to keep Claude Code working for long-running tasks | Design long-running tasks so coding tools can keep working until the job is done |
| Claude Agent Teams guide | Coordinate multiple AI instances like a real development team |
| Claude Code Superpowers for engineering-grade development | Help AI produce engineering-grade code with TDD and best practices |
| Claude Code workflow best practices | Best practices for refactoring, code review, and daily development |
| Claude Code remote development on mobile | Use Claude Code beyond the desktop and build a productive remote workflow on mobile devices |
| Claude Agent SDK complete guide | Build custom agent workflows and integrate Claude into your own tools with the SDK |
| From vibe coding to spec coding | Move from ad-hoc prompting to a more structured, specification-driven AI development workflow |
Cross-Platform Development
| Section | Key Content |
|---|---|
| How to choose the right platform for your app | Compare app forms and choose the right platform based on users, scenarios, and delivery goals |
| Build a WeChat Mini Program | Understand the ecosystem and ship a frontend mini program from template to launch |
| Build a WeChat Mini Program with backend | Add backend logic and databases to complete the full business loop |
| Build an Android app | Learn Android app development with a modern native workflow |
| Build an iOS app | Learn iOS app development and the conventions of the Apple ecosystem |
| Build a local PWA app | Turn a website into a real app with offline support, push, and installation |
| Build a browser AI assistant extension | Create a Chrome extension that summarizes any page with either cloud APIs or built-in AI |
| Build an Electron desktop app | Build a voice-to-text desktop app with Electron for three platforms |
| Rapidly build and mint an NFT | Write a smart contract from scratch, deploy it, and mint your own NFT |
| Build a VS Code extension | Build an AI project assistant with templates, code chat, and multi-file Q&A |
| Build an industrial-grade Qt desktop app | Create a real-time Qt HMI system with trends, alerts, and monitoring |
AI Capabilities Appendix
| Section | Key Content |
|---|---|
| What is RAG and how does it work | Build a systematic understanding of RAG principles and common architectures |
| Intermediate and advanced RAG workflows with LangGraph | Design multi-step workflows and more advanced RAG systems |
📚 Appendix Knowledge Base
Covering 9 major knowledge areas and 80+ interactive topics, this appendix uses animation and visual components to help you intuitively understand core concepts from computer fundamentals to the AI frontier.
👉 View the full appendix
🎓 Other Courses
- Hands-on Modern RL
- Learn Harness Engineering
🛠️ How To Learn
- Read and practice the sections that match your current level. If you get stuck, feel free to open an issue.
💻 Run Locally
Modern approach
In an AI IDE chat window such as VS Code, Cursor, or Trae, you can simply say:
Please help me run this project locally.
Traditional approach
npm installnpm run dev- Open
http://localhost:3000in your browser.
Other Courses
Our team has also created other courses! Check them out:
Hands-on Modern RL: An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
Learn Harness Engineering: A comprehensive guide to harness engineering.
🤝 Contributing & Contributors
- If you find an issue or see something that can be improved, feel free to open an issue. If nobody replies, you can also contact the Datawhale support team.
- If you want to contribute, open a pull request. If nobody replies, you can also contact the Datawhale support team.
- If you want to start a new Datawhale open-source project, please follow the Datawhale Open Source Project Guide.
🙏 Contributors
- Sanbu - Project Lead (Datawhale member)
- Fang Ke - Mentor (Datawhale member, Tsinghua University)
- Yerim Kang (Practice projects, Tsinghua University)
- Zhilin Zhao (Practice projects, Tsinghua University)
- Yixuan Li (Visual design, Tsinghua University)
- Siyi Liu (Practice projects, Tsinghua University)
- Lixin Liu (Practice projects, Tsinghua University)
- Everyone in the AI Vibe Coding 101 internal testing group who shared suggestions and feedback
Special Thanks
- Thanks to OpenAI for providing compute support for the development of this project
- Thanks to @Sm1les for the help and support on this project
- Thanks to every contributor and everyone who supported the project with feedback and stars ❤️
📄 LICENSE
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License .
Star History
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What else is in the AI Tools space?
datawhalechina/easy-vibe is tracked by TopGit under the AI Tools category, alongside 20 GitHub-tagged topics. Trending and Topics pages list peer repositories of comparable stars and language.
What is datawhalechina/easy-vibe?
datawhalechina/easy-vibe (datawhalechina/easy-vibe) is a JavaScript project on GitHub. From the project's own README: 💻 vibe coding 101｜The first course for AI-native product builders.
Where can I see datawhalechina/easy-vibe in action?
The project maintains a homepage at https://datawhalechina.github.io/easy-vibe/. The README tab on this page also usually contains screenshots and a quickstart.
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This TopGit page is a snapshot — the READ ME tab shows the project's own README content (links stripped, images preserved). The GitHub repository at github.com/datawhalechina/easy-vibe is the definitive source.
Why is datawhalechina/easy-vibe categorized under AI Tools?
TopGit places datawhalechina/easy-vibe in the AI Tools category based on its GitHub topics and description (tagged: "agent", "ai", "coding"). Categories are assigned from real repository metadata, not editorial guesswork.
Read full README in the tab above.
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