I've been experimenting using AI coding agents in GitHub Actions to automate workflows, generate code, and enhance my development process.
All the major AI companies now have agents as CLI tools:
And of course, GitHub Copilot is taking the more native approach.
We need a place to run these agents, and GitHub Actions is a great fit.
There are a handful of use cases for AI agents in GitHub Actions:
- Code Review - Use AI to review pull requests, suggest improvements, and catch bugs.
- Create Code - Generate boilerplate code, documentation, or even entire functions based on your specifications.
- Review Code - Analyze existing code for quality, security, and performance issues.
- Generate Tests - Automatically create unit tests or integration tests for your code.
Check out some example workflows, issues, prs: