Lovable app not working anymore? The honest emergency guide
Yesterday it all ran, today something breaks on every click, and the AI agent only makes it worse. Here's what's behind the typical errors, what revert and “Try to fix” really do, and when a rescue beats a rebuild.
When a Lovable app suddenly stops working, it's rarely one single bug but the foundation: the AI builds visible features fast, without a stable architecture, access control and tests. First aid: stop prompting, jump back to the last working version (that restores code only, not database data) and have the error investigated in Chat or Plan mode before any code changes. What's actually broken, the free decivo Scan shows in a few minutes.
The essentials first
- Continuing to prompt often makes it worse: the AI agent rebuilds the same spot instead of finding the cause.
- Revert is your safety net, but only for code. According to Lovable's docs, database data isn't rolled back and spent credits aren't refunded.
- “Try to fix” is free up to ten times (shared with the Security view, each free again after 24 hours); after that it costs credits.
- Empty lists without an error message often share one cause: Row Level Security is on, but no policy allows reading.
- Our own AI App Radar data (October 2026): for 25% (98 of 392) of apps even the first page load is heavy, 25% (112 of 454) render their content only in the browser. Of the Lovable apps, 25% (47 of 187) got a Go.
- Whether rescue or rebuild is cheaper depends on the actual state, not gut feeling. The free scan gives you the factual basis.
Why a Lovable app eventually breaks
Lovable, Bolt and co. are brilliant at building something visible in hours: a login, a dashboard, a database. What they don't deliver is the invisible part that makes an app hold up: a considered architecture, clean access control and tests. Vibe coding means accepting the AI's suggestions and no longer reading the code in detail. That works surprisingly well, for the first few days. More in the glossary entry on vibe coding.
Then it tips over. Every new feature changes spots that used to work, because the AI has no stable structure to hold on to. The code grows faster than anyone understands it. Since AI assistants arrived, GitClear measures more copied code (from 8.3% to 12.3% of changed lines) and less and less cleanup (moved lines down from 25% to under 10%). Past a certain point, every change tears open two others.
That is not your failure. It's the built-in price of speed without control. The good news: the state is measurable and in most cases rescuable. Why AI code is rarely production-ready on its own we've backed with studies and our own audit: Is AI code production-ready?
Common Lovable errors and what's behind them
Most emergencies look different but have a handful of causes. This table helps you classify before you write the next prompt.
| Symptom | Common cause | First step |
|---|---|---|
| White screen after a change | Runtime error in the frontend, often a missing variable or a renamed import | Open the browser console (right-click, Inspect), copy the red error, restore the last version |
| Lists stay empty, saving fails silently | Row Level Security is on, but no policy allows reading or writing | Check the table's policies in Supabase; on save, Supabase often reports “violates row-level security policy” |
| Login works locally but not on your own domain | The domain is missing from the allowed auth redirect URLs | In Supabase under Authentication, add the new domain to the Site URL and Redirect URLs |
| Subpage returns 404 after reload | Single-page app on hosting that doesn't route every path to the entry file | Add a rewrite rule to index.html at your host |
| Every fix breaks something new | Missing structure: logic is copied and spread across many files | Stop prompting, have Chat mode explain the cause, check the state from the outside |
| App feels slow | Very large JavaScript bundle, everything is assembled in the browser | Measure the first page load (e.g. Lighthouse), check large libraries and images |
The table doesn't replace a diagnosis. It shows where to look first.
We see two of these rows constantly in the AI App Radar. For 25% (98 of 392) of checked apps the first page load is already heavy, 14% (62 of 454) ship a very large JavaScript bundle, and 25% (112 of 454) assemble their content only in the browser. That makes the app slow and hard for search engines to read. On top, 72% (325 of 454) answer addresses that don't exist with a normal page instead of an error (run “Panel 2026-10-01”, 454 apps with a DACH connection).
The 5 warning signs behind the errors
1. Every new feature breaks two old ones. The code runs, but a change in one place tears open things that used to work. That's the classic sign of missing architecture: there are no clear boundaries between the parts of the app.
2. The AI agent goes in circles. You explain the same problem for the third time, get a new variant each time, and in the end don't know which is right. The AI guesses instead of understanding the cause.
3. You no longer dare to go live. Not out of hesitation, but because nobody knows what will break on the next update. Missing tests make every release a gamble.
4. Login, payment or data misbehave. Exactly the spots that need access control are weakest in AI code. In our audit, not a single one of the authorization controls checked was met.
5. Something feels insecure. Often rightly so: keys visible in the browser, the database without protection, the .env file public. These are the most expensive mistakes, and they're checkable from the outside.
First aid: using revert, Chat mode and Try to fix properly
Don't keep prompting blindly. The most common mistake in a panic: shouting “fix this” at the AI ten more times. Each run changes more code, and the damage grows.
Go back to the last working version. Lovable creates a version automatically with every change; you jump back in the version history. Lovable's docs say three things about it: revert restores code only, database data stays as it is. Spent credits aren't refunded. And very old versions can be viewed but no longer restored. If you've also connected GitHub, you have a second, independent backup.
Investigate first, then change. In Chat mode, Lovable investigates a problem without changing code; Plan mode writes a plan you approve before anything is built. Describe what you see and what you expected, and explicitly ask it to find the cause before changing anything.
Use “Try to fix” deliberately. According to Lovable, ten fixes are free, shared between “Try to fix” and the Security view; each free fix becomes available again 24 hours after use. After that, “Try to fix” consumes credits like normal building. Trying once makes sense, five times in a row usually doesn't.
Get a neutral outside look. Before you put time or money into repairs, you need facts: what is actually broken, what is just a symptom, and how deep does it go? The free decivo Scan delivers exactly that in minutes, without you giving access to your code.
What you can check yourself in 5 minutes
You don't have to be a developer to spot the most dangerous problems. Open your app in the browser, right-click “Inspect” and look at the “Network” and “Console” tabs. If red errors or long keys appear there, that's a warning sign.
Even simpler: enter your public URL into the decivo Scan. It checks externally visible signals in security (e.g. database keys readable in the browser, open .env files), architecture, privacy and code hygiene, and returns a clear Go, Iterate or Stop with an explanation.
It costs nothing, takes minutes, and you give no access to code or database. For a deeper check (database access control, interfaces, outdated building blocks) you optionally connect your GitHub project with read-only access, also free. What a Lovable project needs for launch is on the page Is your Lovable app production-ready?
The invisible part: security and data
The most dangerous thing about a wobbling AI app isn't visible in operation: it's exposed data. In our AI App Radar, 24% (109 of 454) of apps write straight from the browser into the database. Then Row Level Security alone carries the protection, and that's exactly what AI-built apps lack most often.
What that looks like is shown by a documented flaw in Lovable apps (CVE-2025-48757): security researcher Matt Palmer found insufficient Row Level Security rules in 170 of 1,645 scanned projects, affecting 303 endpoints. Lovable disputes the CVE, stating that each customer is responsible for protecting their data. A broader study of 1,072 AI-built apps found at least one flaw in 98%, a critical one in 16% (Symbiotic Security). In the DACH region this costs not only trust but can trigger a GDPR reporting duty.
Our own vibe-code audit confirms the pattern: across 12 typical MVP features, not a single authorization control was met and not a single test was written. Which gaps are most common and how to check Row Level Security yourself in two minutes is in Is your Lovable app secure?
Rescue or rebuild?
Not every broken app has to be rebuilt, and not every one can be rescued economically. For context: of the Lovable apps in the AI App Radar, 25% (47 of 187) got a Go and 75% (140 of 187) an Iterate, meaning “needs work”. Not a single Stop. Most Lovable apps are repairable.
Rough rule of thumb: if the foundation is fine (clear data models, a reasonably clean structure) and only a few spots are on fire, a rescue is usually the cheaper path. If access control, data model and architecture are fundamentally open, a targeted rebuild on top of what already works can end up cheaper than endless patching. More on this: from prototype to product and Lovable alternatives.
Based on the findings, the scan recommends a path with the price up front: the immediate mitigation (€540 net, fixed price, closes every open high-severity gap), the repair plan (€349 net, every location in order for doing it yourselves), repair and stabilisation (from €1,090, a fixed price from your scan, binding after the repository scan) or a rebuild from €12,500. Details are on Vibe Code Rescue; if you want the app developed further long-term, see Lovable app development. What a rebuild typically costs, the MVP cost calculator works out.
Sources
All figures and product statements in this article come from the following sources. Retrieved on 20 October 2026.
- decivo — KI-App-Radar DACH, Lauf „Panel 2026-10-01“, Methodik 2026.33 (CC BY 4.0)
- Lovable Docs — Revert and restore your project with version history
- Lovable Docs — FAQ (Try to fix, Plan mode, Chat mode)
- Supabase Docs — Row Level Security
- Supabase Docs — Redirect URLs (Auth)
- NVD — CVE-2025-48757: unzureichende Row-Level-Security-Policies in Lovable (vom Anbieter bestritten)
- Matt Palmer — Statement on CVE-2025-48757 (170 von 1.645 Projekten, 303 Endpunkte)
- Symbiotic Security — „We Scanned 1,072 Vibe Coded Apps, 98% Had Security Flaws“ (Juni 2026)
- decivo Vibe-Code-Audit v1.0 (2026), CC BY 4.0
- GitClear — AI Copilot Code Quality 2025 (Code-Duplikate & Refactoring)
A Lovable app that no longer works is not a lost project. Usually all that's missing is an honest look at what lies beneath the surface.
Scan for free nowFixing a Lovable app: the key questions
Why does my Lovable app suddenly not work anymore?
It's usually not one single bug but missing structure: the AI builds new features without a stable architecture to hold on to. Past a certain point, every change alters spots that used to work. Typical triggers are runtime errors in the frontend, missing Row Level Security policies and wrong auth redirect URLs.
Does a revert in Lovable restore the database too?
No. According to Lovable's docs, a revert only restores code; database data changed after that version stays unchanged. Spent credits aren't refunded, and very old versions can only be viewed, not restored.
Does “Try to fix” in Lovable cost credits?
Not at first. According to Lovable, ten fixes are free, shared between “Try to fix” and the Security view, and each free fix becomes available again 24 hours after use. After that, “Try to fix” consumes credits like normal building. For recurring errors, Lovable recommends Chat or Plan mode to investigate the cause first.
Why isn't my Lovable app saving any data?
Very often because of Row Level Security: if RLS is active on a table but no policy allows reading or writing, Supabase returns empty lists or rejects the save. The fix is a proper policy bound to the user ID, not switching RLS off.
Can a broken vibe-coded app even be rescued?
Usually yes. If the foundation is fine and only a few spots are on fire, a rescue is the cheaper path. If the data model and access control are fundamentally open, a targeted rebuild can be cheaper. The free scan gives you the factual basis for that decision.
What does it cost to have a Lovable app fixed?
The scan is free. After that it depends on the path: immediate mitigation €540 net (fixed price), repair plan €349 net, repair and stabilisation from €1,090 as a fixed price from your scan, binding after the repository scan. The scan result recommends which path fits.
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Is AI-Generated Code Production-Ready? The 2026 Studies
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