We step in when Lovable attempts a fix, introduces a new bug, then attempts to fix that bug too — because the loop can't be prompted out of, only diagnosed and stopped by a human.
A Lovable app rescue is a paid engagement where an outside engineering team takes over a broken or stuck AI-built codebase and makes it production-ready. Escaping a fix loop requires treating the codebase as what it actually is: an untrusted, undocumented legacy application that happens to be a few weeks old.
The AI has no dependency graph of your project, so it can't see how one change breaks a connected part elsewhere — which is exactly why the same bug keeps resurfacing after every attempted fix. Rescue engagements fall into three tiers, and the right one depends entirely on how entangled the codebase already is.
The free diagnostic tells you which one you're actually in before anything gets quoted.
| Tier | What it fixes | When it applies |
|---|---|---|
| Emergency patch | Critical bugs, exposed data, and broken core flows. | The app is live now and actively causing harm or user loss. |
| Structural refactor | Circular dependencies, inconsistent modules, and root-cause fixes. | The fix loop keeps returning even after patches hold temporarily. |
| Full production rebuild | Complete re-architecture, including authorization redesign. | Technical debt exceeds 70% to 80% of the codebase with no test suite. |
Why more prompts make it worse, and how to tell a patch from a rebuild.
You cannot instruct an AI agent to build a dependency graph it doesn't maintain. A dependency-graph pass the agent was never able to run immediately surfaces the circular imports and dead files that agent edits leave behind — which is why a human diagnostic breaks the loop and another prompt does not.
Choose an emergency patch if your core flows are broken but the underlying structure is still coherent. Choose a full rebuild if no module boundaries exist and the authorization model needs redesigning rather than patching. In most cases the answer is somewhere in between — a structural refactor that fixes root causes and keeps what works.
Every additional AI-generated change on top of a broken foundation makes the eventual fix more expensive and more time-consuming.
On a loop that structurally cannot resolve itself.
Row-level security fixed before real user data gets exposed.
Fixed once, instead of patched repeatedly.
Broken auth, checkout, and signup flows repaired first.
Rather than defaulting to a full rewrite.
Migration onto infrastructure you actually own.
We scope the rescue around your actual codebase, not a generic cleanup package.
A no-strings diagnostic identifying exactly what's broken and why it keeps recurring.
Every table checked and secured against the disabled-RLS pattern common in AI scaffolding.
A structural pass that maps exactly what breaks what, before any fix gets applied.
Login, signup, and checkout flows tested against real edge cases, not just the happy path.
Root-cause fixes to module boundaries and shortcuts the AI introduced under time pressure.
A move to your own Supabase account and GitHub repository, with full ownership restored.
Four situations send most founders to us before things get worse.
Lovable says it's fixed, you test it, and it's not. The cycle repeats.
Blank pages, failed signups, or checkout errors are happening in production right now.
Nobody has confirmed whether row-level security is actually enabled on every table.
You want your own Supabase account and full infrastructure ownership, not just exported code.
These five mistakes account for most of the codebases that arrive to us in worse shape than they needed to be.
Each new prompt on a broken foundation adds another layer to untangle. We stop the loop before it compounds further.
Disabled row-level security affects a majority of Lovable apps we review. We check every table on day one.
The AI reports success even when the bug persists. We verify every fix against real user behavior, not AI confidence.
The longer the loop runs, the more entangled the codebase becomes. We recommend a diagnostic at the first repeat bug.
Further AI changes can overwrite a working state. We snapshot your repository before any diagnostic work begins.
Six stages, from first call to a stabilized, verified codebase. We keep you informed with full visibility throughout.
We review your repository and database to identify exactly what's broken.
1–2 days · DiagnosticWe map circular imports, dead files, and row-level security gaps across every table.
2–3 days · ScanWe classify the work as an emergency patch, structural refactor, or full rebuild.
1 day · PrioritizationWe fix root causes directly, preserving what already works wherever possible.
3 days–6 weeks · RepairWe verify every fix against real user behavior, not AI-reported success alone.
3–5 days · VerificationWe document what changed and why, so your codebase stays maintainable going forward.
HandoffThree factors drive the price: codebase size, how much of the test suite exists already, and whether the authorization model needs redesigning. Start with a free diagnostic to find your actual tier. Lovable's subscription and Supabase hosting are billed separately.
Real diagnostic tooling, backed by engineering judgment no AI agent replaces.
Every rescue starts with a free diagnostic, so you know your tier before committing to anything.
A no-strings audit of your repository and database, no commitment required.
Always the first stepA defined project matched to your emergency patch, refactor, or rebuild tier.
Best for a live problemOngoing development support once your codebase is stable again.
Best after stabilizingLovable App Rescue paired with our Lovable development service for new features.
Best for end-to-endNo hidden gaps. Each engagement includes everything you need to get your codebase stable again.
The diagnostic stays the same. The fix tier changes based on how entangled the codebase already is.
Apps stuck in a fix loop before they've even reached real users.
Production apps with paying customers hitting broken flows right now.
Client-built Lovable projects needing stabilization before handoff.
Multi-sided apps where broken auth or payments affect two audiences at once.
Internal apps with exposed data risk nobody has audited yet.
Teams who need a partner to explain what actually broke and why.
Apps outgrowing an architecture that was never meant to scale this far.
Newly acquired products needing a technical health check before integration.
Real work, real numbers — see how we did it for BeesApp.
99.9%
BeesApp came to us with a broken patchwork of PHP, Django, and Vue.js. We tore it down and rebuilt the entire system from scratch using Next.js, Flutter, and FastAPI — delivering 99.9% uptime, 120+ API endpoints, and enabling market entry in Saudi Arabia.
120+
API Endpoints
74%
Faster Load
40%
Lower Costs
Lovable App Rescue pairs naturally with these services from Hoop Interactive.
Building and hardening before problems compound.
ExploreLaunching cleanly, before a rescue is needed.
ExploreThe full cluster of AI app build, rescue, and migration services.
ExploreThe same discipline across every AI builder, not just Lovable.
ExploreFor a demo that needs finishing, not fixing.
ExploreDeployment safety and monitoring after the rescue.
ExploreThe infrastructure you migrate onto.
ExploreSecurity hardening beyond a single codebase.
ExploreThe regression coverage a rescue puts in place.
ExploreThe questions founders ask us most before starting a rescue.
A Lovable app rescue is a paid engagement where an outside engineering team takes over a broken or stuck AI-built codebase and makes it production-ready. Work typically includes fixing security gaps, removing fake or missing authentication, refactoring AI-invented shortcuts, and stabilizing the architecture — without rewriting the whole product from scratch.
Your app needs a rescue if Lovable keeps re-introducing the same bug after every fix attempt, if real users hit blank pages or broken flows, or if you're unsure whether your database is actually secured. Any one of these three signs justifies a professional audit before more prompts make the codebase harder to untangle.
Lovable's AI attempts a fix, introduces a new bug, then attempts to fix that new bug, creating a loop that burns credits without resolving the root cause. The loop happens because the AI has no dependency graph of your codebase, so it can't see how one change breaks a connected part elsewhere.
Possibly, and it's worth checking immediately. Lovable's Supabase scaffolding frequently produces tables with row-level security disabled by default, relying on client-side filtering that doesn't actually block direct database access from anyone who finds the endpoint.
A Lovable app rescue costs $1,500 to $30,000 or more, depending on how entangled the codebase is. An emergency patch for a small codebase costs $1,500 to $4,000, a structural refactor for a medium codebase costs $4,000 to $12,000, and a full production rebuild for a large, deeply entangled codebase costs $12,000 to $30,000 or more.
An emergency patch typically takes 3 to 7 days, a structural refactor takes 2 to 4 weeks, and a full production rebuild takes 4 to 8 weeks depending on codebase size and how much of the test suite needs to be built from nothing.
We fix what is broken in most cases; a full rewrite is rare and only recommended when technical debt exceeds 70% to 80% of the codebase, when no coherent module boundaries exist, or when the authorization model needs redesigning rather than patching.
Yes. We migrate your project onto your own Supabase account and GitHub repository, removing platform lock-in so you own the infrastructure your app runs on, not just the exported code.
Lovable Development builds and hardens a new project from a prompt or an early prototype, before problems compound. Lovable App Rescue steps in after an app is already broken, stuck in a fix loop, or exposed to security risk, and needs emergency stabilization instead of new feature work.
No, but we recommend pausing further prompts on the affected areas while we work. Additional AI-generated changes during a rescue can overwrite fixes or reintroduce the exact bugs we just resolved.
No. Rescue engagements run as fixed-scope projects. Any ongoing development support afterward works month-to-month with no long-term lock-in.
Yes. We sign an NDA before the discovery call, before you share repository or database access with us.
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