My vibe-coded app is broken — how do I fix it?
When a vibe-coded or AI-built app breaks, you need a developer who can read generated code, identify the root cause, and fix it without rewriting everything. The most common failure points are authentication, payment integrations, unindexed database queries, and security gaps introduced by AI-generated code. A focused rescue engagement — not a full rebuild — is usually the fastest path to a stable, shippable product.
wenhire is being built to match founders and vibe coders with developers who specialise in AI-generated codebases. The first 250 to create a profile when we launch get free access for a year — no credit card, first come first served.
join the waitlist — first 250 get a free yearWhy vibe-coded apps break in predictable ways
AI tools like Cursor, Lovable, Bolt, and v0 are exceptionally good at generating plausible-looking code quickly. The same properties that make them fast also make them fragile at scale. They optimise for local coherence — the next few lines make sense — not for global architecture. They rarely ask whether a database query will still be fast with 100,000 rows, or whether an auth check will hold against an adversarial request.
The result is apps that look complete and work in development, then behave unpredictably under real conditions: real users, real load, real security probes. Understanding which failure mode you are dealing with determines what kind of help you need and how much it will cost.
| Failure mode | How it shows up | Typical cause | Rescue effort |
|---|---|---|---|
| Broken auth | Users can access routes they should not, or get logged out randomly | Incorrect session handling or missing server-side route guards | Low — targeted fix once identified |
| Broken payments | Webhooks not firing, silent failures, double charges | Incorrect Stripe event handling or missing idempotency keys | Low-medium — config and logic fix |
| Performance collapse | App is fine with 10 users, unusable with 100 | Unindexed queries, N+1 fetches, no pagination | Medium — requires profiling and schema changes |
| Security gaps | Exposed API keys, unvalidated inputs, bypassed access checks | AI-generated code skips defensive checks | Medium — audit + targeted hardening |
| Spaghetti state | UI shows wrong data, changes in one place break another | Global state spread across local component state with no pattern | High — requires refactor, not a targeted fix |
| Deployment breakage | Works locally, fails in production | Missing env vars, build vs. runtime config, serverless limits | Low — usually fast to diagnose and fix |
Security deserves specific emphasis. Veracode's 2025 research found roughly 45% of AI-generated code samples introduced a known security vulnerability. If your app handles user accounts, payments, or any personal data, a security audit before launch is not optional — it is the minimum bar for operating responsibly.
7 signs it is time to hand it to a real developer
Not every problem requires paid help. But these seven situations reliably mean you have crossed the threshold where iterating alone will cost more time than hiring someone who can fix it properly.
You have been fighting the same bug for more than two days.
When an AI tool generates a fix that creates a new bug, and you fix that, and a third bug appears — you are in a loop. A developer can step back, read the underlying logic, and break the cycle.
Users are hitting the app and something real is broken.
Anything that takes money, stores personal data, or gates access needs a proper fix — not an iterative prompt. Broken payments and broken auth are never acceptable as known issues.
You are about to launch publicly and have not had a security review.
AI-generated code regularly introduces auth bypasses, SQL injection vectors, and exposed API keys. A one-hour security audit before launch is far cheaper than a breach after it.
Your app works locally but breaks in staging or production.
Environment mismatches, serverless function timeouts, and build-time versus run-time config errors are hard to debug without knowing the deployment stack. This is a specialist task.
Performance has degraded as the app has grown.
AI tools rarely optimise for scale. Unindexed database queries, un-memoised renders, and unbounded client-side fetches will compound as usage grows. A developer can identify and fix the bottlenecks methodically.
You need to integrate a third-party service and the docs are not enough.
Stripe webhooks, Supabase RLS policies, OAuth flows — these require precise implementation. One wrong line in a payment webhook can mean silent failures or double-charges.
You are about to raise investment or onboard enterprise clients.
Investors and enterprise procurement teams will ask about security posture, test coverage, and technical architecture. A codebase that cannot withstand that scrutiny will stall a deal.
How to vet a developer for a rescue engagement
A rescue engagement is different from building greenfield. You need someone who is comfortable reading code they did not write — and code that has no consistent patterns, because that is what AI tools produce. Here is how to assess candidates quickly.
- Ask for a prior rescue example. Have they taken over an AI-generated or poorly documented codebase before? What was broken, how did they diagnose it, and what did they deliver? A developer who has done this before will have a clear answer.
- Give them a sample of your code. Share one file or one component and ask them to describe what it does and what is wrong with it. You will learn more from this than from any CV. Good rescue devs immediately identify patterns and problems; generic developers will describe what they see without diagnosing.
- Ask how they approach an unknown codebase. The answer should include: read the entry points first, understand the data flow before touching anything, identify the blast radius of any change. If they say they would start by rewriting things, treat that as a red flag.
- Check for familiarity with your stack. A developer who knows your framework, your database, and your deployment environment will diagnose and fix faster than someone learning all three at once on your budget. Specify your stack in the brief — Next.js, Supabase, Vercel — and filter for direct experience.
- Require a written audit before any fixes. A developer who wants to start writing code before they have documented what is wrong is a risk. The audit protects you — it gives you a record of the problems, a scope for the work, and a way to verify that the fixes addressed the actual issues.
What a rescue engagement costs — rough tiers
Rates vary significantly by region, seniority, and the complexity of the codebase. The tiers below are qualitative guides, not fixed prices. India-based developers with strong AI-native experience typically cost a fraction of US or UK equivalents — which is part of why global hiring matters for rescue work.
| Tier | Scope | What is included | Typical duration |
|---|---|---|---|
| Targeted fix | One isolated problem — broken auth, failing webhook, deployment issue | Diagnosis, fix, brief writeup of what changed and why | A few hours to two days |
| Stabilisation | Multiple related issues — security + auth + performance | Full audit, prioritised fix list, fixes, handover doc | Three to ten days |
| Rescue + extend | Fix the existing app and continue building new features | Everything above plus ongoing development retainer | Ongoing — typically monthly |
| Guided rebuild | Architecture is beyond rescue — clean rewrite with you involved | Architecture plan, phased rebuild, knowledge transfer | Two to six weeks depending on scope |
Most founders who reach out with a broken vibe-coded app need Stabilisation or a targeted fix — not a full rebuild. Start with the smallest engagement that solves the immediate problem. A good rescue developer will tell you honestly if the scope needs to expand once they have done the audit.
wenhire will match you with developers who specialise in AI-generated codebases — rescue work, finishing half-built apps, and extending what you already have. The first 250 to create a profile when we launch get free access for a year.
join the waitlist — first 250 get a free yearFrequently asked questions
Can a developer fix code that was entirely generated by AI?
Yes — experienced developers read and debug AI-generated code routinely. The main challenge is that AI tools often produce inconsistent patterns and no documentation, so a good rescue dev will audit the full codebase before touching anything. Budget time for that discovery phase.
My app works locally but breaks in production. Is that a vibe-coding problem?
Usually it is an environment or configuration issue — missing environment variables, incorrect build settings, or a dependency version mismatch between local and production. A developer who knows your deployment stack (Vercel, Railway, etc.) can usually diagnose this in under an hour.
How do I know if my app has security vulnerabilities?
You likely do. Veracode's 2025 research found roughly 45% of AI-generated code samples introduced a known security vulnerability. At minimum, have a developer audit your authentication flow, database access patterns, and any endpoints that accept user input before you go live.
Is it worth finishing a vibe-coded app or should I rebuild from scratch?
That depends on the scope of the problems. If the core logic is sound and the issues are isolated — broken auth, a bad payment integration, performance regressions — rescue is almost always cheaper. If the architecture is fundamentally wrong and the state management is tangled across 60+ components, a focused rebuild on a clean foundation may cost less in the long run.
What does a rescue developer actually deliver?
Typically: a written audit of what is broken and why, a prioritised fix list, the fixes themselves, and a handover document explaining what was changed and how to maintain it. The best rescue devs leave you with a codebase you can continue developing — with AI tools or with additional developers.
Where can I find a developer who specialises in fixing AI-generated apps?
wenhire is being built specifically to match vibe coders and founders with developers who understand AI-generated codebases. The first 250 to create a profile when we launch get free access for a year.