AI-built app failure problems before you keep patching
These pages are not generic tutorials. Each page helps you decide what layer may be broken before you keep prompting, hiring, patching, or rebuilding.
The goal is to avoid making the project worse with random prompts, rushed freelancers, or blind rebuilds. If your issue involves auth, database, payments, user data, or production launch, request a review before continuing.
Need a judgment before launch?
Submit the app context and get a structured decision on what is broken, what is risky, and whether the safer path is to fix, rebuild, hand off, or stop.
Start with the decision
High-intent failure paths for founders deciding whether to fix, rebuild, migrate, stop, or request a review.
Should I fix or rebuild my AI app?
Use this when the project keeps breaking and you need to decide whether to fix, refactor, rebuild, or stop.
AI-built MVP not working
Decide whether an unstable AI-built MVP is still fixable, needs rebuilding, or should stop before more spend.
Non-technical founder app stuck
Use this before hiring again when you cannot tell whether scope, code, architecture, or deployment is broken.
Cheap developer broke my app
Identify whether a low-cost fix caused local damage or structural damage before paying again.
App works locally but not online
Separate environment variables, build settings, API assumptions, database, auth, and architecture failures.
Cursor broke my code
Use this when Cursor changed working code and you need to stop prompting, isolate damage, and review risk.
Lovable app auth not working
Separate auth configuration issues from broken identity, role, Supabase, or architecture boundaries.
Lovable + Supabase not working
Identify whether the failure is database schema, auth identity, RLS, frontend state, or generated code.
Supabase RLS not working after AI code
Use this when AI changes policies and you cannot tell whether data is blocked or exposed.
AI-built app backend not working
Identify whether API, database, auth, or deployment is the backend layer that failed.
AI-generated code not working
Use this when generated code does not run, mismatches your repo, or breaks because of missing context.
Production Readiness
For apps that already work as a demo but may not be safe for real users.
AI-built MVP not working
Decide whether an unstable AI-built MVP is still fixable, needs rebuilding, or should stop before more spend.
AI-built app production readiness
Review auth, database access, RLS, storage, deployment, and AI-generated code risks before launch.
AI-generated code audit
Identify hidden risk in generated code before it reaches real users, data, or payments.
Lovable prototype production-ready
Check whether a Lovable demo is ready for GitHub handoff, Supabase, storage, and deployment.
Non-technical founder app stuck
Use this before hiring again when you cannot tell whether scope, code, architecture, or deployment is broken.
Supabase / Auth / Data Access
For apps where user data, permissions, RLS, storage, or login behavior may be unsafe or broken.
Lovable app auth not working
Separate auth configuration issues from broken identity, role, Supabase, or architecture boundaries.
Lovable + Supabase not working
Identify whether the failure is database schema, auth identity, RLS, frontend state, or generated code.
Supabase RLS not working after AI code
Use this when AI changes policies and you cannot tell whether data is blocked or exposed.
Supabase RLS audit before launch
Verify that users can only access the rows, files, and functions they are allowed to access.
AI app authentication broken
Use this when login, callback URLs, sessions, roles, or auth boundaries keep breaking.
AI app database or permission problem
Use this when schema, ownership, access rules, or RLS behavior does not match the product model.
Fix / Migrate / Rebuild Decisions
For founders unsure whether to keep patching, migrate platforms, or rebuild.
Cheap developer broke my app
Identify whether a low-cost fix caused local damage or structural damage before paying again.
Should you fix, migrate, or rebuild your AI-built app?
Get a structured decision before spending more time patching, migrating, or rebuilding.
Should I fix or rebuild my AI app?
Use this when the project keeps breaking and you need to decide whether to fix, refactor, rebuild, or stop.
AI-built app failed
Use this when multiple parts of the AI-built app keep breaking after repeated AI edits.
AI-generated code not working
Use this when generated code does not run, mismatches your repo, or breaks because of missing context.
AI-built app backend not working
Identify whether API, database, auth, or deployment is the backend layer that failed.
Deployment / Tool Failures
For apps that work locally, fail online, or hit tool-specific builder limits.
App works locally but not online
Separate environment variables, build settings, API assumptions, database, auth, and architecture failures.
AI app deployment failed
Use this when local success fails on Vercel, Replit, Bolt, or another deployment runtime.
Cursor broke my code
Use this when Cursor changed working code and you need to stop prompting, isolate damage, and review risk.
Cursor not working
Separate Cursor tool issues from project failure, generated code risk, and repo complexity.
Lovable not working
Check whether the problem is a builder limitation, prototype boundary, or production architecture issue.
Bolt.new not working
Use this when a quick prototype runs into backend, state, deployment, or integration limits.
Replit AI not working
Review environment setup, packages, persistence, secrets, hosting limits, and generated code mismatch.
ChatGPT Troubleshooting
For user-facing ChatGPT access, loading, login, upload, or response issues. These pages are secondary to AI-built app failure diagnosis and fix-or-rebuild decisions.
View ChatGPT issues