AI Coding Course

A comprehensive online course for experienced software engineers to master AI-assisted development.

Overview

This course teaches systematic approaches to using AI coding assistants effectively in professional software development. Built with Docusaurus, it includes interactive code examples, hands-on exercises, and production-ready patterns.

Live Course: https://ofriw.github.io/AI-Coding-Course/

Course Structure

The course is organized into five modules:

1. Fundamentals - Understanding AI coding assistants, capabilities, and limitations
2. Prompting Techniques - Mastering effective communication with AI
3. Tools & Workflows - Integrating AI into development workflows
4. Architecture & Design - AI-assisted system design
5. Advanced Topics - Security, performance, and specialized use cases

Prerequisites

• Strong programming fundamentals
• Professional development experience
• Understanding of software architecture and design patterns
• Access to AI coding tools (GitHub Copilot, Claude, ChatGPT, or similar)

Local Development

Installation

cd website
npm install

Development Server

npm start

This starts a local development server at http://localhost:3000/. Most changes are reflected live without restarting the server.

Build

npm run build

Generates static content in the website/build directory, ready for deployment.

Test Production Build

npm run serve

Serves the production build locally for testing.

Features

• Interactive Code Examples - Live code editing with @docusaurus/theme-live-codeblock
• Full-Text Search - Local search powered by @easyops-cn/docusaurus-search-local
• Versioning - Course content is versioned for historical reference
• Blog - Case studies, industry trends, and best practices
• GitHub Pages Deployment - Automated deployment via GitHub Actions

Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

Quick Start for Contributors

1. Fork the repository
2. Create a feature branch: git checkout -b feature/new-lesson
3. Make your changes in the website/docs directory
4. Test locally: cd website && npm start
5. Submit a pull request

Content Structure

website/
├── docs/                    # Course modules and lessons
│   ├── intro.md            # Course introduction
│   ├── fundamentals/       # Module 1
│   ├── prompting-techniques/
│   ├── tools-and-workflows/
│   ├── architecture-design/
│   └── advanced-topics/
├── blog/                    # Blog posts
├── src/                     # Custom React components
└── static/                  # Static assets

Technology Stack

• Docusaurus 3 - Static site generator
• TypeScript - Type-safe configuration
• MDX - Markdown with React components
• Prism - Syntax highlighting
• GitHub Actions - CI/CD

Deployment

The site is automatically deployed to GitHub Pages when changes are pushed to the main branch.

Manual Deployment:

cd website
GIT_USER=ofriw npm run deploy

Versioning

Course content is versioned to maintain historical reference while adding new material:

cd website
npm run docusaurus docs:version X.Y

License

This project is open source and available under the MIT License.

Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions

Roadmap

• Complete all 5 core modules
• Add video content integration
• Create interactive coding challenges
• Multi-language support
• Community-contributed case studies

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Built with by the AI Coding Course team.