Automated Code Review Process for GitHub Pull Requests

• Automate code reviews for GitHub pull requests using AI.
• Enhance code quality by identifying bugs and security vulnerabilities.
• Streamline communication by posting review results to Slack.
• Label pull requests based on risk assessment for better tracking.

Triggers on new pull requests in GitHub. Fetches the files changed in the pull request. Generates a summary of the code differences. Uses AI to review the code for various quality metrics. Formats the review results into a comment. Posts the comment back to the pull request. Labels the pull request based on the identified risk level. Notifies the team via Slack about the review.

1. 1
   Import the workflow template into n8n.
2. 2
   Configure GitHub credentials for pull request access.
3. 3
   Set up OpenAI credentials for AI code review.
4. 4
   Connect Slack credentials for notifications.
5. 5
   Adjust repository and organization settings as needed.