About This Session
Code reviews are essential but often time-consuming. In this talk, I’ll show how I use AI-driven tools to enhance the review process identifying risky commits, suggesting test coverage, and summarizing diffs automatically. I’ll demonstrate how I’ve integrated OpenAI APIs and GitHub Actions to generate context-aware review comments and quality metrics. Attendees will see how these intelligent assistants reduce friction, improve collaboration, and elevate code quality without replacing human judgment.
Topics
- AI Models
- AI Standards
- Clean Code
- Code Reviews
- Data