qodex-ai/ai-agent-skills/deployment-automation

Vercel Production Deploy Loop

Instructions

When requested to deploy to Vercel production with automatic error fixing:

1. Initial Deployment Attempt

• Run vercel --prod to start production deployment
• Wait for deployment to complete

1. Error Detection & Analysis

• CRITICAL: Use Vercel MCP tool to fetch detailed logs:
• The MCP logs provide much more detail than CLI output
• Analyze the build logs to identify root cause:
• Build errors (TypeScript, ESLint, compilation)
• Runtime errors
• Environment variable issues
• Dependency problems
• Configuration issues
• Extract specific error messages

1. Error Fixing

• Make minimal, targeted fixes to resolve the specific error

1. Retry Deployment

• Run vercel --prod again with the fixes applied
• Repeat steps until deployment succeeds

1. Success Confirmation

• Once deployment succeeds, report:
• Deployment URL
• All errors that were fixed
• Summary of changes made
• Ask if user wants to commit/push the fixes

Loop Exit Conditions

• ✅ Deployment succeeds
• ❌ SAME error occurs 5+ times (suggest manual intervention)
• ❌ User requests to stop

Best Practices

• Make incremental fixes rather than large refactors
• Preserve user's code style and patterns when fixing

Example Flow

User: "Deploy to production and fix any errors"

• Vercel MCP build logs are the PRIMARY source of error information
• CLI output alone is insufficient for proper error diagnosis
• Always wait for deployment to complete before fetching logs
• If errors require user input (like API keys), prompt user immediately