This repository offers practical guidance for leveraging AI in software development, targeting developers seeking to enhance productivity and code quality through AI collaboration. It distills real-world experience into actionable lessons for more effective AI-assisted workflows.

How It Works

The guide emphasizes fundamental programming principles, recontextualized for AI-assisted development. It highlights how practices like meticulous project structuring, problem decomposition, and robust testing are amplified in importance when working with AI coding assistants, ensuring better outcomes and more reliable AI-generated code.

Quick Start & Requirements

Browse the lessons in the lessons/ directory, starting with 01-project-structure.md.

Highlighted Details

• Focuses on practical, experience-driven lessons for AI-assisted development.
• Covers essential software engineering practices tailored for AI collaboration.
• Draws from real-world usage of tools like Cursor, Windsurf, Cline, and Claude.

Maintenance & Community

Contributions are welcome via pull requests.

Licensing & Compatibility

The repository does not specify a license.

Limitations & Caveats

This guide is a collection of lessons learned and does not contain executable code or tooling. Its effectiveness relies on the user's existing development environment and chosen AI tools.