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.
BurnHavoc
Been around fixing other peoples code for 20 years.
Luca Liberati
I work on monoliths and microservices, backends and frontends, manage K8s clusters and love to design apps architecture
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 : )
zipking
I am a technologist and product builder dedicated to creating high-impact solutions at the intersection of AI and specialized markets. Currently, I am focused on PropScan (EstateGuard), an AI-driven SaaS platform tailored for the Japanese real estate industry, and exploring the potential of Archify.
As an INFJ-T, I approach development with a "systems-thinking" mindset—balancing technical precision with a deep understanding of user needs. I particularly enjoy the challenge of architecting Vertical AI SaaS and optimizing Small Language Models (SLMs) to solve specific, real-world business problems. Whether I'm in a CTO-level leadership role or hands-on with the code, I thrive on building tools that turn complex data into actionable value.
Nam Tran
10 years as fullstack developer
Rudra Bhikadiya
I build and fix web apps across Next.js, Node.js, and DBs.
Comfortable jumping into messy code, broken APIs, and mysterious bugs.
If your project works in theory but not in reality, I help close that gap.
Matthew Butler
Systems Development Engineer @ Amazon Web Services
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.
Kingsley Omage
Fullstack software engineer passionate about AI Agents, blockchain, LLMs.
Matt Butler
Software Engineer @ AWS
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.