Generate, review, and optimize code with Cursor AI, GitHub, Google, and Slack

A smart, fully automated coding pipeline built inside n8n that leverages Cursor AI to write, refactor, review, and optimize code projects — triggered by a webhook, schedule, or manual prompt. Every output is versioned, stored, and delivered with a detailed review report.

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🎯 What's the Goal? Eliminate the repetitive overhead of writing boilerplate code, performing code reviews, and refactoring legacy code manually. This workflow turns a plain-text task description into production-ready, reviewed, and optimized code — automatically and at scale — using Cursor AI's deep coding intelligence inside n8n.

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💡 Why Does It Matter? Software teams lose hundreds of hours to boilerplate writing, manual code reviews, and inconsistent refactoring. AI-assisted coding with Cursor is powerful, but still requires manual triggering. By wiring Cursor into n8n, you get a repeatable, auditable, hands-free coding pipeline that integrates directly with your Git repos, Slack, and storage — making AI code generation a true part of your CI/CD culture, not just a one-off tool.

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⚙️ How It Works 1. Webhook or Schedule triggers the flow with a coding task description 2. Task is classified (Generate / Review / Refactor / Optimize) 3. Cursor AI API is called with the appropriate system prompt & task 4. Raw code output is received and parsed 5. A second Cursor pass performs automated code review & scoring 6. If quality score passes threshold → code is committed to GitHub 7. If score is below threshold → Cursor runs an optimization pass 8. Final code + review report saved to Google Drive 9. Summary logged to Google Sheets 10. Slack notification sent with code snippet preview & Drive link

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