New AI review bot workflow added.

Change Summary

This update introduces a new GitHub Actions workflow for an AI review bot and modifies the configuration file for a PR agent. The changes aim to automate and enhance the code review process by leveraging AI-driven insights and automating certain review actions.

Technical Details

• New Workflow File:
  • Created a new GitHub Actions workflow file at .github/workflows/review-bot.yml.
  • Defined permissions for issues and pull requests.
  • Triggered on pull request events (opened, reopened, ready_for_review, review_requested) and issue comments.
  • Added a job ai-review that uses an external workflow from stuhlmuller/workflows.
• Configuration File Update:
  • Modified .pr_agent.toml to update the pr_actions list.
  • Changed the format of pr_actions from a string to an array for better compatibility and readability.

Key Learnings & Insights

• Automation of Review Processes:
  • The introduction of the AI review bot aims to streamline the code review process, providing automated feedback and suggestions.
  • Using GitHub Actions allows for seamless integration and automation within the GitHub ecosystem.
• Configuration Best Practices:
  • Switching from a string to an array format in the TOML configuration file enhances readability and maintainability.
  • Proper permission settings ensure that the workflow operates securely without unnecessary access.

Impact Assessment

• Enhanced Review Quality:
  • The AI review bot is expected to provide valuable insights and suggestions, improving the overall quality of code reviews.
• Maintainability:
  • The changes make the configuration more maintainable and easier to understand for future developers.
• Security:
  • By defining specific permissions, the workflow minimizes security risks associated with broader access levels.

Developer Notes

• Gotchas:
  • Ensure that the external workflow (stuhlmuller/workflows/.github/workflows/review-bot.yml@main) is up-to-date and maintained.
  • Monitor the AI review bot’s performance and feedback to ensure it aligns with the team’s standards.
• Future Improvements:
  • Consider expanding the AI review bot’s capabilities to include more complex analysis or integration with other tools.
  • Regularly review and update the configuration to adapt to changing project needs and best practices.