PaulDuvall/ai-development-patterns
A comprehensive collection of AI development patterns for building software with AI assistance, organized by implementation maturity and development lifecycle phases. Includes Foundation, Development, and Operations patterns with practical examples and anti-patterns.
This project provides practical, organized advice for integrating AI tools into existing software development workflows. It offers best practices and common pitfalls for using AI assistance effectively in coding, testing, and deployment. The target audience is software development teams, engineering managers, and solution architects looking to leverage AI to improve their development process.
339 stars.
Use this if your team wants to systematically adopt AI assistance throughout your software development lifecycle, from initial coding to security and operations.
Not ideal if you are looking for specific AI model architectures or coding libraries, as this focuses on development methodologies rather than technical implementation details.
Stars
339
Forks
31
Language
Python
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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