Your vibe coded app keeps breaking. This audit shows you how to fix it.
The AI-Codebase Audit: fixed price, EUR 2,900, 7 to 10 days. It turns your AI-built app into one you can safely change and ship.
Want proof first? Download the sample report: my real 9-page AI-Codebase Audit of Homelab, a vibe coded app built by one developer with AI agents. Two native platforms, 34 integrations, and the exact findings this page describes.
This is for mobile apps and the backend behind them: native iOS, native Android, Flutter, React Native. Not for pure web apps.
You built an app with Cursor, Claude, Bolt, Lovable, or some mix of them. It works. People use it. Maybe it even makes money.
But now it is slow, or it crashes once real users show up. Every new AI prompt fixes one thing and breaks two others. You cannot tell what is safe to change anymore, and you cannot tell whether the next release will work until a user complains. That is the point where progress stops.
I fix that. I will not lecture you about AI code. I read the code you actually have, find what is wrong, and give you a plan to fix it in the right order. Fixed price: EUR 2,900. 7 to 10 days. No lock-in.
What is actually wrong inside a vibe coded app
First the honest part. Vibe coding got you a real product in front of real users without a development team. That is an achievement, and plenty of funded startups never get that far. The next step is a different kind of work, and it is not work AI tools do well on their own.
Inside, AI-generated codebases tend to share the same problems:
- The same logic written four times. The AI does not remember it already solved a problem, so it solves it again. Your pricing rule or date handling exists in several places, each slightly different. You fix one copy and the bug stays.
- No separation. Screens, business rules, and network calls sit together in the same giant files. Changing a button can break a payment.
- State handled three different ways. Some in a global object, some passed around by hand, some duplicated between the database and memory. When two copies disagree, you get the bugs nobody can reproduce.
- No tests. So neither you nor the AI can tell whether a change broke something. That is why every prompt feels risky. It is.
- Repeated fixes that now conflict with each other. When something broke, the AI patched the symptom instead of the cause. Those patches are still in the code, and they interact in ways nobody planned.
This is why a vibe coded app keeps breaking in the same places no matter how you phrase the prompt, and why your app does not improve the way it did three months ago. This is what unreviewed generated code turns into as it grows, and it is fixable.
The AI-Codebase Audit: EUR 2,900, fixed
I read your codebase. It is a full code review of your AI-generated code by a senior engineer, not another tool run. In 7 to 10 working days you get:
- A scored report across five areas. Architecture, code quality, performance, stability, and your delivery pipeline.
- Every risk in plain terms. What it costs you, how likely it is to happen, and what it takes to fix. No jargon.
- What is salvageable. Which parts to keep, which to rewrite, which to delete.
- A prioritized fix plan with effort estimates. What to fix first, what can wait, and roughly how much work each item is.
- A straight answer on rebuild versus fix. In my experience a full rebuild is often not needed. Either way, you will know instead of guessing.
- Two follow-up calls included.
Fixed price, EUR 2,900. No hourly billing, no lock-in. Bigger scope (the app plus a full backend audit, a second app, or a very large codebase) is quoted up front and never above EUR 4,000.
Download the sample report first
How it works
- You book and send me read access to your code.
- I read the codebase and write the report. That takes 7 to 10 working days.
- You get the scored report, the prioritized fix plan, and two follow-up calls.
The price is EUR 2,900, fixed before anything starts. To book, email mostafa@keystonesystems.eu.
Who reads your code
I am Mostafa, a senior iOS engineer. I have spent more than nine years building and fixing apps, and Keystone Systems is my one-person company. I do every audit myself. I also audit Flutter, React Native, native Android, and the backend behind the app.
The sample audit: a real vibe coded app, scored 5.3 out of 10
I audited Homelab, a real vibe coded app: built by one developer with AI agents in 15 weeks, two native platforms, 34 integrations, over 500 GitHub stars, and archived when its author moved on. The nine-page report is downloadable on the audit page. Some of what it found:
- The app grew by copying: two dashboards are 92 percent identical, and one URL-parsing rule exists in 28 versions that disagree.
- A monitoring app that silently shows zeros when its queries fail, so users trust numbers that are wrong.
- CI that compiled 33 releases but never ran the tests that existed.
- Also genuinely disciplined performance work that scored 7 out of 10. An audit reports what is good, too.
Overall score: 5.3 out of 10, with a verdict: restructure in 6 to 8 engineer weeks, no rewrite needed. For calibration, the same method scored the Wikipedia iOS app, mature and human built, at 6.6. That report is on the audit page too. Reading them shows you exactly what you get for your money.
From AI prototype to production: what happens after
The report is a plan you can execute three ways.
Your team runs it. Every item is scoped with an effort estimate, so your developer or a contractor can pick it up directly.
You run it with your AI tools. This works better than you might expect. AI edits keep breaking your app because nothing tells the AI which parts are fragile and which are safe. The audit gives you exactly that. Each fix becomes a small, well-scoped prompt instead of "please make it stop crashing."
I run it. For apps that need deeper work, I take on Remediation & Takeover engagements between EUR 15,000 and EUR 45,000. The work is split into phases of 2 to 4 weeks, each with its own price, and you approve every phase before it starts. The audit tells you honestly whether that is worth it. Often the plan alone is enough.
Vibe coded app audit: questions before you book
Can you actually read AI-generated code?
Yes. Generated code is usually easier to read than ten-year-old human code. It is verbose and repetitive, not cryptic. The sample audits on the audit page cover a 97,600 line vibe coded app and a 230,000 line human built one.
Is my vibe coded app ready to launch?
That is one of the questions the report answers. Every risk is priced in plain terms, so you can see what to fix before launch and what can wait.
Do I have to stop shipping during the audit?
No. An audit produces a report, it does not change your code. Keep releasing while I read.
Which tools and stacks do you cover?
The AI tool does not matter. Cursor, Claude Code, Bolt, Lovable, v0, Replit, or a mix of all of them. On the stack side I audit native iOS, native Android, Flutter, React Native, and the backend behind the app. Pure web frontends are not covered.
Is the sample audit of a real vibe coded app?
Yes. Homelab is a public, archived codebase whose own README calls it a vibe-coding project, so the full report could be published. Every finding was re-verified against the code before publication. There is a second sample on the audit page, the Wikipedia iOS app, which shows the same method on a mature human built codebase.
Make your vibe coded app production ready
For EUR 2,900 fixed you get a scored report, a prioritized fix plan, and a straight answer on whether your app needs a rebuild. Ten working days from now you will know your app's real condition and what to fix first.
Prefer to read first? Download the sample report and decide after.