ChatGPT gave you a promising prototype, but the app still breaks in the real world? That is a common problem with AI-generated code. It can look convincing, but it often needs a production audit before it becomes secure, stable, and launch-ready.
I help founders and business owners turn AI-generated code into dependable software. Instead of leaving the project in a fragile state, I review the actual logic, repair the weak areas, and bring the code closer to a production-grade standard.
AI tools are excellent at scaffolding apps and generating code quickly, but they often miss the parts that matter most in production: input validation, proper authentication, database consistency, API safety, and deployment setup. This leads to bugs that are not obvious until the app is used beyond the happy path.
My approach is practical and targeted. I debug the app behavior, repair the core issues, and clean up the code so the project becomes safer to run, easier to scale, and more maintainable for the future.
If your AI-generated code works in a preview but not in production, I can help. Tell me what is breaking and I will tell you honestly whether it needs a targeted fix or deeper cleanup.
Do not keep relying on fragile AI-generated logic. Get a real technical review, fix the weak spots, and build a foundation your app can actually trust.
Here is how I approach AI-generated and unstable build projects: I inspect the code, isolate the root cause, and convert the app into a stable, launch-ready system with real-world resilience.
I work across modern and traditional stacks so a project can be repaired without forcing a rewrite when the original idea is still solid.
Backend logic, server routes, request handling, and production security fixes.
Database repair, query troubleshooting, relational data integrity, and table optimization.
Frontend behavior fixes, broken UI logic, async flows, and runtime debugging.
Safer app logic and refactoring for AI-generated frontends that have drifted from working behavior.
Automation scripts, API repair, data processing, and backend debugging support.
Game and app logic repair for scripts, UI flows, gameplay state, and controller bugs.
Refactoring scattered AI output into a cleaner, maintainable codebase that can survive real use.
Version cleanup, safe changes, deployment troubleshooting, and environment alignment.
Each project has its own issues, stack, and constraints, so I begin by understanding what is already working, what is broken, and what must be repaired for launch-day confidence.
Feedback from previous work highlights the value of clear communication, reliable technical delivery, and careful engineering under pressure.
Inbox me now — it’s free to talk. I can review what is broken, explain the likely cause, and tell you the fastest safe path to production readiness.
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