When you try to write code with AI, encounter constant errors, often want to give up, and are unclear about how to actually deploy your programs online 😢.
This tutorial is specifically designed to take you from 0 to 1, progressively mastering Vibe Coding techniques:
- **Stage 2**: Learn **frontend/backend development and AI capabilities** related vibe coding techniques, complete full applications
- **Stage 3**: Master **multi-platform complex application** construction solutions, moving towards production-grade applications
We believe that by mastering Vibe Coding combined with systematic training, one person can become a developer combining frontend, backend, AI capability integration, and product design.
> **This project is primarily designed for three types of learners:**
>
> - **Beginners (ordinary people / product and operations)**: Help non-technical beginners understand key concepts and complete their first product prototype.
> - **Intermediate Developers (students and developers with some foundation)**: Master frontend/backend vibe coding and AI capability knowledge.
> - **Advanced Developers (companies and startups, open source and independent developers)**: Advanced development techniques, multi-platform development.
| [Primary 1: Programming by Speaking in the AI Era](docs/en-us/stage-0/) | Experience AI programming capabilities through Snake and other cases | 🚧 |
| [Primary 2: Understanding AI IDE Tools](docs/en-us/stage-0/) | Learn to use IDE, create small games locally | 🚧 |
| [Primary 3: Building Prototypes Hands-On](docs/en-us/stage-0/) | From requirement analysis, AI-generated single page to multi-page product prototype | 🚧 |
| [Primary 4: Adding AI Capabilities to Prototypes](docs/en-us/stage-0/) | Learn to integrate common AI capabilities (text, image, video) | 🚧 |
| [Primary 5: Complete Project Practice](docs/en-us/stage-0/) | Simulate real scenarios, accept user feedback iterations, complete projects | 🚧 |
| [Final Assignment: Build a Complete Web Application Prototype and Present](docs/en-us/stage-0/) | Fully implement application, showcase application effects | 🚧 |
| [Appendix A: Product Thinking and Solution Design](docs/en-us/stage-1/appendix-a-product-thinking/) | Thinking framework needed to build products from scratch | 🚧 |
| [Appendix B: AI Industry Application Scenarios (B2B)](docs/en-us/stage-1/appendix-industry-scenarios/) | Understand AI applications in different industries | 🚧 |
| [Appendix C: AI Consumer Scenario Inspiration (B2C)](docs/en-us/stage-1/appendix-c-consumer-scenarios/) | Explore AI applications in consumer products | 🚧 |
| [Appendix D: What to Do When Encountering Errors](docs/en-us/stage-1/appendix-b-common-errors/) | Common errors in vibe coding and troubleshooting methods | 🚧 |
| [Appendix E: Comparison of Seven AI Programming Tools](docs/en-us/stage-1/appendix-articles/example0-1/vibe-coding-tools-snake-game-tutorial.md) | Compare and test mainstream AI programming platforms | 🚧 |
| [Appendix F: Designing Websites with Design and Programming Agents](docs/en-us/stage-1/appendix-articles/example0-2/vibe-coding-tools-build-website-with-ai-coding-and-design-agents.md) | Learn how to use AI agents collaboratively | 🚧 |
| [Frontend 0: Using Lovart to Generate Assets](docs/zh-cn/stage-2/frontend/2.0-lovart-assets/) | Learn to use Lovart to batch generate characters, scenes and other visual assets | 🚧 |
| [Frontend 1: Figma & MasterGo Introduction](docs/zh-cn/stage-2/frontend/2.1-figma-mastergo/) | Use design tools to organize information architecture and page structure | 🚧 |
| [Frontend 2: Building Your First Modern Application - UI Design](docs/zh-cn/stage-2/frontend/2.2-ui-design/) | Complete componentized interface based on design specs, implement the first link from design to code | 🚧 |
| [Frontend 3: Reference UI Design Specs and Multi-Product UI Design](docs/zh-cn/stage-2/frontend/2.3-multi-product-ui/) | Expand multi-product interfaces around unified visual design, practice systematic design capabilities | 🚧 |
| [Frontend 4: Building Hogwarts Portraits Together](docs/zh-cn/stage-2/frontend/2.4-hogwarts-portraits/chapter4-lets-build-hogwarts-portraits.md) | Build AI-capable frontend applications from scratch, connecting design and development | ✅ |
| [Backend 1: What is API](docs/zh-cn/stage-2/backend/2.1-what-is-api/extra2/extra2-what-is-api.md) | Understand HTTP interfaces and request-response models | ✅ |
| [Backend 2: From Database to Supabase](docs/zh-cn/stage-2/backend/2.2-database-supabase/chapter5/chapter5-from-database-to-supabase.md) | Implement databases and APIs on Supabase, connect data models with frontend pages | ✅ |
| [Backend 3: AI-Assisted Interface Code and Documentation](docs/zh-cn/stage-2/backend/2.3-ai-interface-code/) | Use LLM to help generate interface and database documentation and code | 🚧 |
| [Backend 4: Git Workflow](docs/zh-cn/stage-2/backend/2.4-git-workflow/extra1/extra1-what-is-git-and-what-is-github.md) | Manage code in Git workflow, version control and collaboration | ✅ |
| [Backend 5: Zeabur Deployment](docs/zh-cn/stage-2/backend/2.5-zeabur-deployment/extra6/extra6-zeabur-what-is-it-and-how-to-deploy-web-applications.md) | Deploy applications to Zeabur for production | ✅ |
| [Backend 6: Modern CLI Development Tools](docs/zh-cn/stage-2/backend/2.6-modern-cli/extra7/extra7-cli-ai-coding-tools-and-the-principles-of-test-driven-development.md) | Use CLI-based AI programming tools to accelerate development and debugging | ✅ |
| [Backend 7: Integrating Payment Systems like Stripe](docs/zh-cn/stage-2/backend/2.7-stripe-payment/) | Integrate payment systems, complete payment links and basic settlement processes | 🚧 |
| [Assignment 1: Build Your First Modern Application - Full Stack](docs/zh-cn/stage-2/assignments/2.1-fullstack-app/) | Integrate frontend, backend and payment modules, complete production-ready full stack web application | 🚧 |
| [Assignment 2: Modern Frontend Component Library + Trae Practice](docs/zh-cn/stage-2/assignments/2.2-modern-frontend-trae/) | Use modern frontend component libraries with Trae, independently complete login/registration and payment-capable products | 🚧 |
| [AI 1: Dify Introduction and Knowledge Base Integration](docs/zh-cn/stage-2/ai-capabilities/2.1-dify-knowledge-base/chapter3/chapter3-getting-started-with-dify-and-its-knowledge-base-integration.md) | Use Dify Workflow and basic RAG to build utility products | ✅ |
| [AI 2: Learn to Query AI Dictionary and Integrate Multimodal APIs](docs/zh-cn/stage-2/ai-capabilities/2.2-multimodal-api/extra3/extra3-ai-capability-starter-handbook.md) | Learn to find suitable models and APIs, integrate text, image and other multimodal capabilities | 🚧 |
| [Advanced 1: MCP and ClaudeCode Skills](docs/zh-cn/stage-3/core-skills/3.1-mcp-claudecode-skills/) | Extend IDE capabilities through MCP and Skills, integrate external services as tools | 🚧 |
| [Advanced 2: Making Coding Tools Work for Long Periods](docs/zh-cn/stage-3/core-skills/3.2-long-running-tasks/) | Design and configure long-running tasks, make Coding Tools more stable and reliable | 🚧 |
| [Advanced 3: Multi-Platform Development: Building WeChat Mini Programs](docs/zh-cn/stage-3/cross-platform/3.3-wechat-miniprogram/) | Understand WeChat mini program ecosystem, complete a frontend mini program from official template to launch | ✅ |
| [Advanced 4: Multi-Platform Development: Building WeChat Mini Programs - With Backend](docs/zh-cn/stage-3/cross-platform/3.4-wechat-miniprogram-backend/) | Integrate databases and backend logic in mini programs, complete business loops | 🚧 |
| [Advanced 5: Multi-Platform Development: Building Android Apps](docs/zh-cn/stage-3/cross-platform/3.5-android-app/) | Use Expo and other tools to complete Web/native integrated Android application development | 🚧 |
| [Advanced 6: Multi-Platform Development: Building iOS Apps](docs/zh-cn/stage-3/cross-platform/3.6-ios-app/) | Use Expo and other tools to complete Web/native integrated iOS application development | 🚧 |
| [Advanced 7: Building Your Personal Website and Academic Blog](docs/zh-cn/stage-3/personal-brand/3.7-personal-website-blog/) | From selection, building to deployment, create a permanent online homepage showcasing projects and academic achievements | 🚧 |
| [Advanced AI 1: What is RAG and How It Works](docs/zh-cn/stage-3/ai-advanced/3.a1-rag-introduction/extra5-what-is-rag-and-how-does-it-work-and-future.md) | Systematically understand RAG principles and common architectures | ✅ |
| [Advanced AI 2: Intermediate/Advanced RAG and Workflow Orchestration with LangGraph](docs/zh-cn/stage-3/ai-advanced/3.a2-langgraph-advanced-rag/) | Use LangGraph and other tools to design multi-step workflows and intermediate/advanced RAG systems | 🚧 |
- Choose relevant chapters to read and practice based on your personal ability. If you have questions, feel free to ask via issues.
## 💻 Running This Course Locally
### Modern Approach
In the AI IDE dialog box (vscode, cursor, trae, etc.), enter the following prompt to start this course:
```
Please help me run this project's local service
```
### Traditional Approach
1. npm install
2. npm run dev
3. Open your browser and visit `http://localhost:3000` to view.
## 🤝 Contributing
- If you discover any problems or see areas for improvement, please submit an Issue for feedback. If there's no response after submitting, you can contact the [Nanny Team](https://github.com/datawhalechina/DOPMC/blob/main/OP.md) for follow-up.
- If you want to contribute to this project, please submit a Pull Request. If there's no response after submitting, you can contact the [Nanny Team](https://github.com/datawhalechina/DOPMC/blob/main/OP.md) for follow-up.
- If you're very interested in Datawhale and want to start a new project, please follow the [Datawhale Open Source Project Guide](https://github.com/datawhalechina/DOPMC/blob/main/GUIDE.md).
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
</a>.
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