Transform your GitHub pull request reviews from time-consuming manual processes into instant, AI-powered code analysis that catches issues before they reach production. This n8n workflow automatically reviews every pull request using GPT-4o and delivers structured feedback directly to GitHub and Slack channels. What this workflow does When developers open a pull request, the workflow springs into action automatically. It fetches the raw unified diff from GitHub's API and sends the code changes to GPT-4o along with the PR title, description, and branch information. The AI model analyzes the code and returns a comprehensive review as structured JSON, including severity ratings (CRITICAL/HIGH/MEDIUM/LOW), categorized issues with actionable suggestions, positive highlights, and an overall score out of ten. The workflow then formats this analysis into a professional Markdown comment with collapsible sections for easy reading and posts it directly on the GitHub pull request. Smart routing ensures critical findings trigger immediate alerts in your team's #incident Slack channel, while standard reviews are summarized in the #code-reviews channel. Use cases Development teams wanting consistent code review standards across all pull requests Engineering managers needing to catch security vulnerabilities and code quality issues early Remote teams requiring automated code review coverage during off-hours Organizations looking to reduce senior developer time spent on initial code reviews Teams wanting to maintain code quality while accelerating development velocity Technical details This workflow integrates seamlessly with your existing development stack using proven n8n nodes: GitHub Trigger for webhook events, HTTP Request for fetching diffs, Code nodes for parsing AI responses, and Slack integration for team notifications. Setup requires GitHub OAuth2, OpenAI API key, and Slack OAuth2 credentials, plus three simple n8n variables for your repository configuration. The GitHub webhook registers automatically when activated, ensuring zero configuration overhead. Simply open a test pull request to verify the complete automation pipeline from code submission to AI review delivery.
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