Vercel → ChatGPT → GitHub: Deployment Monitor Pipeline

Configure Vercel webhooks to capture deployment status changes, build errors, and runtime exceptions. Set up log drains to stream serverless function logs and edge function errors into your monitoring pipeline for real-time analysis. Include deployment metadata like git commit SHA and branch name so issues can be traced back to specific code changes.

Feed build logs and error data to ChatGPT for root cause analysis. Prompt it to identify whether issues stem from configuration problems, dependency conflicts, runtime errors, or infrastructure limitations, and generate step-by-step remediation instructions. ChatGPT also assesses whether the issue is a regression by comparing against known error patterns from previous deployments.

Automatically create GitHub issues in the relevant repository with the AI-generated diagnosis, severity label, and remediation steps. Assign issues to the appropriate team members based on the error domain and link to the specific Vercel deployment for context. Include code snippets for suggested fixes when applicable so engineers can implement solutions faster.