Common Issues
deployment
My AI App Won't Deploy or Go Live
Your app runs fine in the AI tool's preview or on your local machine, but when you try to deploy it to production (Vercel, Netlify, Railway, Render, etc.), it fails with errors or shows a blank page.
Error Messages You Might See
Build failed
Module not found
ENOENT: no such file or directory
500 Internal Server Error
Application error: a client-side exception has occurred
Common Causes
- Missing environment variables in the production environment
- Build command or output directory is wrong
- Database connection string points to localhost instead of the production DB
- CORS issues — API calls blocked in production
- The AI tool's preview had built-in services that don't exist in production
How to Fix It
- Check the deployment logs for the actual error message
- Make sure all environment variables from your local .env file are set in production
- Verify the build command matches what your framework expects
- Check if your database URL is correct for the production environment
- If you see CORS errors, update your API to allow requests from your production domain
Real developers can help you.
Anthony Akpan
Developer with 8 years of experience building softwares fro startups
hanson1014
Full-stack developer experienced in fixing and deploying AI-generated apps from Lovable, Bolt.new, Cursor, and Replit. I specialize in debugging Supabase integration issues (auth flows, RLS policies, database connections), fixing broken deployments, resolving routing/blank screen problems, and cleaning up messy React/Vite codebases. I also build production apps with the Claude API and have shipped a Mac desktop dev tool (Nexterm from scratch. Based in Hong Kong, fast turnaround.
Stanislav Prigodich
15+ years building iOS and web apps at startups and enterprise companies. I want to use that experience to help builders ship real products - when something breaks, I'm here to fix it.
Bastien Labelle
Full stack dev w/ 20+ years of experience
Taufan
I’m a product-focused engineer and tech leader who builds scalable systems and turns ideas into production-ready platforms.
Over the past years, I’ve worked across startups and fast-moving teams, leading backend architecture, improving system reliability, and shipping products used by thousands of users. My strength is not just writing code — but connecting product vision, technical execution, and business impact.
Matthew Butler
Systems Development Engineer @ Amazon Web Services
Nam Tran
10 years as fullstack developer
Omar Faruk
As a Product Engineer at Klasio, I contributed to end-to-end product development, focusing on scalability, performance, and user experience.
My work spanned building and refining core features, developing dynamic website templates, integrating secure and reliable payment gateways, and optimizing the overall system architecture.
I played a key role in creating a scalable and maintainable platform to support educators and learners globally.
I'm enthusiastic about embracing new challenges and making meaningful contributions.
MFox
Full-stack professional senior engineer (15+years). Extensive experience in software development, qa, and IP networking.
Jacek Rozanski
Senior PHP/Symfony developer and DevOps engineer with 20+ years of professional experience, running opcode.pl (web development agency, est. 2004).
Day job: I'm the sole backend developer at merketing company where I own and maintain 11 PHP/Symfony microservices on AWS (ECS Fargate, RDS, S3, CloudFront), handle the full CI/CD pipeline (Bitbucket Pipelines, Docker), and manage monitoring with Sentry and CloudWatch. These services handle high request volumes in production every month.
What I bring to AI-built apps:
- I audit and fix security issues (OWASP methodology), performance bottlenecks, and architectural problems in codebases generated by Cursor, Claude Code, Lovable, Bolt, and v0
- I refactor AI-generated prototypes into production-grade applications with proper error handling, testing, and clean architecture (SOLID, DDD, hexagonal architecture)
- I set up the infrastructure AI tools don't touch: AWS hosting, CI/CD pipelines, automated deployments, database optimization, monitoring, and alerting
- I integrate external services: payment providers, email systems, partner APIs, SSO/auth
Tech stack: PHP 8.x, Symfony, React, Next.js, PostgreSQL, MySQL, Docker, AWS (ECS, RDS, S3, SQS/SNS, CloudFront), Terraform, Supabase. I also use AI tools daily (Claude Code, Cursor) in my own workflow, so I understand both the strengths and the gaps in AI-generated code.
Based in Poland (CET timezone). Available for async work and calls during EU/US business hours.
Describe what's wrong in plain English. No technical knowledge needed.
Get HelpFrequently Asked Questions
My app works in the preview but not after deploy. Why?
AI tool previews often include built-in services (databases, auth) that don't automatically carry over to production. You need to set up those services separately.
I get a blank page after deploying. What's wrong?
Usually a build error or missing environment variable. Check your deployment platform's build logs for the actual error.