Quick answer
If your AI-built app keeps breaking, the core question is not one error message. The decision is whether to keep patching, migrate platforms, rebuild the architecture, launch with constraints, or stop before spending more money.
Why this happens
AI-assisted founders often move fast through prompts, builders, and deployment tools. That speed can create unclear ownership, mixed frameworks, fragile data models, hidden production risk, and code that is hard to reason about after several rounds of AI fixes.
What to check first
- Code structure and whether the main workflow has a clear source of truth.
- Data model, ownership, and whether user records map to the product rules.
- Auth, RLS, storage, and permission boundaries.
- Deployment pipeline, preview behavior, and environment separation.
- AI-generated clutter, duplicate logic, and conflicting implementations.
- Production risk if real users or paying customers use the app now.
- Business urgency and whether a smaller launch version would be safer.
- Migration cost from Lovable, Vite, v0, or another builder into the target stack.
What not to do
- Do not migrate platforms just because the current app feels messy.
- Do not rebuild before identifying what should be preserved.
- Do not keep patching when every fix creates a new bug.
- Do not let AI choose the architecture without business and production context.
- Do not launch if auth, RLS, storage, or deployment boundaries are unclear.
Safe next step
Get a structured decision before the next rewrite. The output should say whether the safest path is fix, migrate, rebuild, launch with limits, or stop.
Get a Fix / Migrate / Rebuild Decision
FAQ
Should I migrate from Lovable to Vercel or v0?
Maybe, but only after reviewing code ownership, data access, deployment, and what parts of the current app are worth keeping.
Should I keep Vite or move to Next.js?
That depends on the product requirements, deployment model, server needs, and current code quality.
Is rebuild always safer?
No. Rebuilds can waste time if the problem is narrow. The decision should come first.
Can I ask AI to decide?
AI can help generate options, but it does not own the production risk. A human technical judgment should set the path.