Deployment Failures with AI-Generated Projects
AI-generated code often works locally but fails during deployment. Common issues include missing environment variables, incorrect build configurations, incompatible dependencies, and misconfigured hosting platforms.
Common Symptoms
- Build succeeds locally but fails on Vercel/Netlify/Cloudflare
- Missing environment variables causing runtime errors
- TypeScript errors only appearing during production build
- Docker/container configuration issues
- CORS errors after deployment
- Serverless function timeouts or cold start issues
Try These Fixes First
Before hiring an agency, try these steps yourself. Many common issues can be resolved with the right approach.
Verify all environment variables are set in your hosting platform
Run production build locally (npm run build) before deploying
Check for Node.js version mismatches between local and hosting
Review build logs for the specific error message
Ensure all API endpoints use correct production URLs
Add proper error handling for missing env vars at startup
Tools That Help
Replit
Replit provides integrated hosting, eliminating most deployment configuration issues.
Free / $25/mo and up
Windsurf (by Cognition)
Use Windsurf to diagnose build errors, fix configuration issues, and resolve deployment blockers.
Free / $15/mo and up
Claude Code
Use Claude Code to diagnose and fix complex build and deployment issues from the terminal.
Free tier limited
Lovable
Lovable handles deployment configuration automatically, reducing common deployment issues.
Free / $20/mo and up
Bolt.new
Bolt runs code in-browser, helping you iterate on build issues before deploying.
Free tier + paid Pro/Team subscriptions
Frequently Asked Questions
Why does my AI-generated app fail to deploy?
AI tools develop in an environment different from production. They may hardcode localhost URLs, skip environment variable validation, use dev-only dependencies, or generate code that passes type checks loosely but fails strict builds.