Stuck in a loop where every AI fix breaks something else? Here’s when to stop
Quick answer: What should I do when Lovable keeps breaking my app every time I ask it to fix something?
Stop prompting and restore the last version that worked from version history. Then ask the AI to explain the problem without changing code (Lovable’s Chat mode does this), and fix one thing per prompt, giving it the exact error message. If the same bug comes back after two or three attempts, the cause is probably somewhere the AI can’t see.
It starts with one small bug. You ask the AI to fix it. It says “Fixed!”, and now the login page is broken too. You ask it to fix that, and the dashboard stops loading. An hour later you’re further from a working app than when you started. If that sounds familiar, you’re not doing it wrong. It’s a predictable pattern, and there are ways out.
Why AI fixes break other things
- It fixes the symptom it can see. “The page is stuck loading” gets a loading-state fix, even when the real cause is a database rule or a setting.
- It only sees part of the system. The code is in front of it. Your Supabase settings, hosting configuration, Stripe dashboard and production secrets often aren’t.
- Every attempt adds code. A failed fix is rarely removed cleanly. After a few rounds there are three half-solutions fighting each other.
- “It works” is judged too early. Many bugs depend on timing, on being logged in, or on the live environment, so a fix can look right in the preview and fail for real users.
Five ways to break the loop yourself
1. Go back to the last version that worked
Don’t pile fixes on top of fixes. All three big tools let you rewind:
- Lovable saves every change as a version. Open version history and use Revert (“Revert to this version”), or bookmark known-good versions before a big change. Lovable’s docs note that reverting restores code only: it doesn’t roll back database data or migrations.
- Bolt saves a version after every prompt. Use Version history (the clock icon) and Restore this version. Per Bolt’s docs, restoring doesn’t change your Bolt or Supabase database either.
- Cursor creates checkpoints before the Agent makes significant changes. Use Restore Checkpoint on an earlier message. Cursor’s docs say checkpoints are local and separate from Git, so use Git for anything permanent.
2. Ask before you build
In Lovable, switch the project chat to Chat mode and ask “why is this happening?”. Per Lovable’s docs, Chat mode reads your project and never changes code or data, and each message is priced as a chat message (typically a fraction of a credit, covered first by a daily allowance). Only switch to Build once the explanation makes sense to you. For bigger changes, Plan mode writes a plan you can review before any code is touched.
3. Give it the real error
“It’s broken” gets a guess. Open DevTools (F12), copy the first red line from the Console, or the failing request and its status from the Network tab, and paste that. Our guides on blank screens, empty arrays and 42501 errors show what the common ones mean.
4. One change per prompt, then test
Ask for one thing, test it in the preview (and the live app if it’s auth, payments or deployment), then move on. If something breaks, you know exactly which change did it, and which version to go back to.
5. Write the rules down once
Lovable’s Knowledge lets you set persistent instructions it considers on every edit, at project or workspace level. Good candidates:
- “Never use the Supabase secret or service_role key in frontend code.”
- “Never disable Row Level Security or add policies that allow everyone, to fix an error.”
- “Every new table needs explicit grants, RLS and policies in the same migration.”
- “Explain the cause before changing code, and change one thing at a time.”
Not sure which of these is your problem? The free health check looks at your live app in seconds, or request a free scan and we’ll tell you what we find.
Signs the problem isn’t the prompt
- The same bug comes back after two or three different fixes
- It only happens on the live site, not in the preview
- It involves something outside the code: Supabase settings, grants and RLS, hosting, secrets, Stripe, Google login
- The AI suggests turning off a security feature to make the error go away
- You can no longer tell which of the last ten changes are still needed
Some classic examples where AI loops are common: the app freezes after login, payments that don’t unlock features, and Google login going to localhost.
Fixes an AI should never make for you
- Turning off RLS or adding an “allow all” policy to get data to show (why that leaks data)
- Switching the frontend to the service_role or secret key (why that’s a master key)
- Granting everything to everyone to make a
42501go away (the October 30 checklist)
If you accepted one of these during a loop, revert it or get it checked, even if the app works now.
What a human review gives you
A person looks at the code and the parts the AI can’t see, finds the actual cause, and tells you what to change, or changes it. At fixed prices, not hourly:
Two hours and twenty prompts on the same bug?
Send it to a human. The $49 Audit tells you what’s actually wrong: a security & stability review with a full report in 24 hours and copy-paste fix prompts for your AI tool. The $199 Fix: up to 5 issues fixed, delivered as a pull request with tests within 72 hours. Not fixed? Full refund.
FAQ
Will reverting lose my newer work?
It undoes code changes made after that version. In Lovable, the later edits stay in the chat so you can reapply them. That’s why the best pattern is: revert, then redo the changes one at a time. Note that reverting code doesn’t roll back database changes.
Is it the AI’s fault or mine?
Usually neither. Some bugs live in settings, databases or services the AI can’t see, so it keeps fixing what it can see.
Should I switch tools?
Rarely. The bug lives in your code and configuration, so it follows you to the new tool.
How much does a developer cost compared to Vibefixr?
We don’t bill hours: the Audit is $49 and the Fix is $199 for up to 5 issues, with a full refund if it isn’t fixed. Guard is $79/month if you want every push reviewed afterwards.
Can I keep building in Lovable after you fix it?
Yes. We deliver a pull request to your repository. With Lovable’s two-way GitHub sync, changes merged into the branch Lovable syncs come back into your Lovable project.
Related guides
- Your Lovable app freezes or goes blank right after login: here’s why
- Is your Lovable app leaking user data? How to tell if your Supabase RLS is broken
- Stripe says “paid”, your app says “free”: why the feature didn’t unlock
- The launch checklist for apps built with Lovable, Bolt, Cursor, Replit and v0
- How much does it cost to fix a Lovable or Bolt app?
Launching soon? Run through our launch checklist for AI-built apps: 14 checks, each linked to the full guide.