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
Build failedModule not foundENOENT: no such file or directory500 Internal Server ErrorApplication 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

  1. Check the deployment logs for the actual error message
  2. Make sure all environment variables from your local .env file are set in production
  3. Verify the build command matches what your framework expects
  4. Check if your database URL is correct for the production environment
  5. If you see CORS errors, update your API to allow requests from your production domain

Real developers can help you.

Antriksh Narang Antriksh Narang 5 years+ Experienced Dev (Specially in Web Development), can help in python, javascript, react, next.js and full stack web dev technologies. Yovel Cohen Yovel Cohen I got a lot of experience in building Long-horizon AI Agents in production, Backend apps that scale to millions of users and frontend knowledge as well. Alvin Voo Alvin Voo I’ve watched the tech landscape evolve over the last decade—from the structured days of Java Server Pages to the current "wild west" of Agentic-driven development. While AI can "vibe" a frontend into existence, I specialize in the architecture that keeps it from collapsing. My expertise lies in the critical backend infrastructure: the parts that must be fast, secure, and scalable. I thrive on high-pressure environments, such as when I had only three weeks to architect and launch an Ethereum redemption system with minimal prior crypto knowledge, turning it into a major revenue stream. What I bring to your project: Forensic Debugging: I don't just "patch" bugs; I use tools like Datadog and Explain Analyzers to map out bottlenecks and resolve root causes—like significantly reducing memory usage by optimizing complex DB joins. Full-Stack Context: Deep experience in Node.js and React, ensuring backends play perfectly with mobile and web teams. Sanity in the Age of AI: I bridge the gap between "best practices" and modern speed, ensuring your project isn't just built fast, but built to last. Prakash Prajapati Prakash Prajapati I’m a Senior Python Developer specializing in building secure, scalable, and highly available systems. I work primarily with Python, Django, FastAPI, Docker, PostgreSQL, and modern AI tooling such as PydanticAI, focusing on clean architecture, strong design principles, and reliable DevOps practices. I enjoy solving complex engineering problems and designing systems that are maintainable, resilient, and built to scale. Vlad Temian Vlad Temian 15+ years shipping production infrastructure for startups. Former CTO at qed.builders (acquired by The Sandbox). Cursor ambassador and agentic tooling builder. I've scaled systems, automated deployments, and built observability tools for AI coding workflows. I specialize in taking vibe-coded apps from broken prototype to production-ready: fixing Supabase auth/RLS, Stripe integrations, deployment pipelines, and cleaning up AI-generated spaghetti. I build tools in this space (agentprobe, claudebin, micode) and understand both sides: how AI generates code and why it breaks. https://blog.vtemian.com/ Krishna Sai Kuncha Krishna Sai Kuncha Experienced Professional Full stack Developer with 8+ years of experience across react, python, js, ts, golang and react-native. Developed inhouse websearch tooling for AI before websearch was solved : ) Matt Butler Matt Butler Software Engineer @ AWS Richard McSorley Richard McSorley Full-Stack Software Engineer with 8+ years building high-performance applications for enterprise clients. Shipped production systems at Walmart (4,000+ stores), Cigna (20M+ users), and Arkansas Blue Cross. 5 patents in retail/supply chain tech. Currently focused on AI integrations, automation tools, and TypeScript-first architectures. rayush33 rayush33 JavaScript (React.js, React Native, Node.js) Developer with demonstrated industry experience of 4+ years, actively looking for opportunities to hone my skills as well as help small-scale business owners with solutions to technical problems Daniel Vázquez Daniel Vázquez Software Engineer with over 10 years of experience on Startups, Government, big tech industry & consulting.

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Frequently 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.

Related Common Issues Issues

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