Learn how to build software using AI coding agents. This repository contains hands-on projects that teach you to work effectively with tools like Claude Code, Cursor, and other AI-assisted development environments.

Agentic coding is a development approach where AI agents actively participate in the software development process. Instead of just autocompleting code, these agents can:

• Understand context - Read your codebase, documentation, and project structure
• Plan and execute - Break down tasks and implement them step by step
• Use tools - Run commands, search files, make API calls, and interact with external systems
• Iterate and improve - Test their work, fix errors, and refine solutions

Projects built with Claude Code, Anthropic's CLI tool for agentic coding.

Effective agentic coding starts with good project setup:

• CLAUDE.md / Rules files - Instructions that guide the AI's behavior
• Structured data models - Define clear schemas for AI-generated content
• Validation layers - Verify AI output meets your requirements

Tips for productive collaboration:

1. Be specific - Clear requirements produce better results
2. Provide context - Share relevant code, docs, and examples
3. Iterate - Review output and refine through conversation
4. Trust but verify - AI makes mistakes; always review generated code

• Natural language → Structured data → Code - Parse intent into schemas, then generate
• Templates + Models - Combine Jinja2/similar with validated data models
• Layered validation - Check specs, then generated code, then runtime behavior

1. Clone this repository
2. Choose a project that interests you
3. Read the project's README for setup instructions
4. Follow along, experimenting with your own variations

• Python 3.11+
• uv (recommended) or pip
• An AI coding tool (Claude Code, Cursor, etc.)

Found an issue or want to add a tutorial? Contributions welcome! Please open an issue first to discuss.

MIT License - see LICENSE for details.