Stuck With a Broken Lovable or Bolt.new App? Here's How to Fix It Without Starting Over
By MakeMyStore Team · September 27, 2026
TL;DR
- AI app builders are great for the first 80% of a project and notoriously bad at the last 20% — the part that actually needs to work in production.
- Most "stuck" projects don't need a full rebuild — they need a proper audit, targeted fixes, and a clean deploy to infrastructure you actually own.
- The most common failure points: broken auth, a database that doesn't match what the UI expects, and code so tangled from repeated AI prompts that no one (including the original AI) can safely change it anymore.
- You should walk away owning the code on your own GitHub and Vercel — not renting access to someone else's platform.
AI app builders like Lovable, Bolt.new, and similar tools are genuinely useful for getting a rough version of an idea running fast. The trouble starts later — usually right around the point where the founder tries to add one more feature, connect a real payment provider, or fix a bug, and the whole thing starts breaking in ways that more AI prompts only make worse.
This isn't a reason to give up on the idea. It's a sign the project needs a different kind of help: someone who can read the code that's already there, figure out what's actually broken, and fix it — instead of generating yet another layer on top of the problem.
The three ways these projects usually break
- Authentication that half-works. Sign-up works in testing but fails for real users, or sessions randomly log people out.
- A database that doesn't match the app. The UI expects data in a shape the database was never actually set up to provide, so features silently fail or show wrong data.
- Code that's afraid to touch itself. After enough rounds of "fix this" prompts, the codebase becomes so tangled that even small changes risk breaking something unrelated.
The question isn't "how did this get so broken?" It's "what's the fastest path from here to something real users can rely on?" Usually that path is shorter than a full rebuild.
What a project rescue actually involves
| Step | What happens |
|---|---|
| 1. Review | Read the existing code and database, and identify exactly what's broken and why |
| 2. Fix | Repair the specific broken pieces — auth, data, or logic — without discarding what already works |
| 3. Deploy | Move the cleaned-up project to your own GitHub repository and your own Vercel (or similar) hosting account |
Signs your project needs a rescue, not another prompt
- The same bug keeps "getting fixed" and then coming back in a different form.
- You've lost track of what the AI actually changed across dozens of prompts.
- You can't move the project off the platform it was built in.
- A real user tried it and something broke that never broke in your own testing.
If any of that sounds familiar, the fix usually isn't more prompts to the same tool that got you here — it's a proper look at the actual code by someone who can read it.
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