A comprehensive educational platform that teaches AI-assisted programming through hands-on tutorials, practical projects, and best practices.
Features interactive learning modules, modern development workflows, and real-world project implementations.
One-click FREE deployment of your personalized learning environment.
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🌟 Pioneering the future of AI-assisted programming education. Built for the next generation of developers.
[!TIP] Explore our interactive learning platform designed for modern developers.
[!NOTE] Watch our platform in action with this comprehensive demo.
2024-12-14.14-59-17.mp4
Complete platform walkthrough showing all major features
Tech Stack Badges:
Important
This platform demonstrates modern educational technology with interactive learning modules. It combines comprehensive documentation with hands-on tutorials to provide a complete AI programming education experience. Features include step-by-step tutorials, practical projects, and modern development tool integration.
📑 Table of Contents
- 🚀 AI Programming Education Platform - TOC
We are passionate educators and developers creating the next generation of AI programming education. By adopting modern educational technologies and comprehensive learning methodologies, we aim to provide learners with powerful, accessible, and engaging AI programming education.
Whether you're a beginner looking to enter the world of AI programming or an experienced developer seeking to enhance your skills with AI tools, this platform will be your comprehensive learning companion. The platform is actively maintained and we welcome feedback for any issues encountered.
Note
- Node.js >= 18.0 required for development
- Modern web browser for optimal experience
- GitHub account recommended for accessing additional resources
- No prior AI experience required - we start from the basics!
No installation required! Visit our live demo to start learning immediately. | |
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Get intelligent answers about the project using AI |
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⭐ Star us to receive all updates and new learning content from GitHub!
Experience next-generation educational content through our comprehensive module system. Our innovative approach provides structured learning paths through carefully designed tutorials covering everything from AI communication basics to advanced development workflows.
Key capabilities include:
- 🎯 Progressive Learning: Structured curriculum from basics to advanced
- 🛠️ Hands-on Practice: Real-world projects and exercises
- 📱 Responsive Design: Learn on any device, anywhere
- 🌐 Bilingual Support: Content available in multiple languages
Revolutionary tutorial system that transforms how learners interact with AI programming concepts. With our structured approach and practical examples, students can master AI-assisted development while building real projects.
Available Learning Tracks:
- Environment Setup: Development environment configuration
- Basic Concepts: AI communication and prompt engineering
- Tool Mastery: Cursor, v0, and modern development tools
- Project Implementation: Complete project walkthroughs
- Advanced Topics: AI drawing, chat systems, and Coze integration
Beyond the core learning modules, this platform includes:
- 📚 Rich Documentation: Comprehensive guides and references
- 🎨 Modern UI/UX: Beautiful design with dark/light themes
- 📝 Blog System: Regular updates and insights
- 🔍 Search Functionality: Find content quickly and easily
- 📊 Progress Tracking: Monitor your learning journey
- 💻 Code Examples: Interactive code snippets and demos
- 🚀 One-Click Deploy: Easy deployment to your own instance
- 📱 Mobile Optimized: Perfect experience on all devices
✨ New content and features are continuously added as the field evolves.
Frontend Stack:
- Framework: Docusaurus 3.6.1 with React 18
- Styling: CSS3 + Custom Design System
- Content: MDX for rich interactive documentation
- Analytics: Vercel Analytics integration
- Icons: SVG-based icon system
Development Tools:
- Build System: Webpack-based Docusaurus build
- Development Server: Hot reload development environment
- Content Management: File-based content system
- Deployment: Vercel for seamless deployments
- Version Control: Git-based workflow
Tip
Each technology was selected for educational effectiveness, ease of maintenance, and optimal learning experience.
Tip
This architecture supports easy content management and scalable educational delivery, making it perfect for educational institutions and self-learners.
graph TB
subgraph "Content Layer"
A[Documentation] --> B[Blog Posts]
B --> C[Tutorial Modules]
C --> D[Interactive Examples]
end
subgraph "Presentation Layer"
E[React Components] --> F[Docusaurus Framework]
F --> G[Responsive UI]
G --> H[Search & Navigation]
end
subgraph "Deployment"
I[Build Process]
J[Static Generation]
K[CDN Distribution]
L[Analytics]
end
A --> E
E --> I
I --> J
J --> K
F --> L
docs/
├── basics/ # Fundamental concepts
│ ├── ai-communication # AI interaction principles
│ ├── markdown-syntax # Documentation basics
│ └── prompt-engineering # Effective prompting
├── setup/ # Environment configuration
├── tools/ # Development tools
├── tutorials/ # Hands-on tutorials
├── practice/ # Project implementations
├── ai-chat/ # Chat system development
├── ai-drawing/ # AI art and design
└── coze/ # Coze platform integration
Important
Ensure you have the following installed:
1. Clone Repository
git clone https://github.com/ChanMeng666/ai-programming-teaching-project.git
cd ai-programming-teaching-project
2. Install Dependencies
# Using npm
npm install
# Using yarn
yarn install
# Using pnpm (recommended)
pnpm install
3. Start Development Server
npm start
🎉 Success! Open http://localhost:3000 to access the learning platform.
# Start with hot reload
npm start
# Build for production
npm run build
# Serve production build
npm run serve
# Clear cache
npm run clear
Important
Choose the deployment strategy that best fits your educational needs. Vercel is recommended for its simplicity and performance.
One-Click Deploy:
Manual Deployment:
# Install Vercel CLI
npm i -g vercel
# Deploy
vercel --prod
# Build Docker image
docker build -t ai-programming-platform .
# Run container
docker run -p 3000:3000 ai-programming-platform
Getting Started (Week 1-2):
- Environment Setup - Configure your development environment
- AI Communication - Learn effective AI interaction
- Markdown Basics - Master documentation formatting
Tool Mastery (Week 3-5):
- Cursor Editor - Advanced code editing with AI
- v0 Platform - Rapid prototyping and development
- Workflow Integration - Streamlined development processes
Project Implementation (Week 6-8):
- Complete Projects - Build real-world applications
- AI Drawing - Creative AI applications
- Chat Systems - Conversational AI development
Note
Each module includes hands-on exercises, practical examples, and assessment opportunities.
We support integration with leading development and AI platforms:
Category | Platform | Status | Documentation |
---|---|---|---|
Code Editors | Cursor | ✅ Active | Setup Guide |
Development | v0 Platform | ✅ Active | Setup Guide |
Deployment | Vercel | ✅ Active | Setup Guide |
AI Tools | Coze | ✅ Active | Setup Guide |
Analytics | Vercel Analytics | ✅ Active | Built-in Integration |
Setup Development Environment:
# Clone repository
git clone https://github.com/ChanMeng666/ai-programming-teaching-project.git
cd ai-programming-teaching-project
# Install dependencies
npm install
# Start development server
npm start
Creating New Documentation:
# Create new doc file
touch docs/new-topic/index.mdx
Adding Blog Posts:
# Create new blog post
touch blog/YYYY-MM-DD-post-title.mdx
Content Structure:
---
title: Your Title
sidebar_position: 1
---
# Your Content
Your educational content here...
We welcome contributions! Here's how you can help improve this educational platform:
Content Contributions:
- 📚 Add new tutorials and learning modules
- 🐛 Fix typos and improve existing content
- 💡 Suggest new topics and learning paths
- 🌐 Help with translations and localization
Technical Contributions:
- 🔧 Improve platform functionality
- 🎨 Enhance UI/UX design
- 📱 Optimize mobile experience
- ⚡ Performance improvements
Pull Request Process:
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature
) - Commit your changes (
git commit -m 'Add some amazing feature'
) - Push to the branch (
git push origin feature/amazing-feature
) - Open a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
Open Source Benefits:
- ✅ Free for educational use
- ✅ Modification allowed
- ✅ Distribution permitted
- ✅ Commercial use allowed
![]() Chan Meng Creator & Lead Developer UI/UX Designer & Full Stack Developer |
Chan Meng
LinkedIn: chanmeng666
GitHub: ChanMeng666
Email: [email protected]
Website: chanmeng.live
Empowering developers and learners worldwide
⭐ Star us on GitHub • 📖 Read the Documentation • 🐛 Report Issues • 💡 Request Features • 🤝 Contribute
Made with ❤️ by the AI Programming Education team