“Something was built fast. Now it's stuck.”
AI code rescue
For apps that AI built — and can't finish.
The prototype was miraculous. Three weekends, a working demo, features appearing as fast as you could describe them. Then real users arrived, and now every change breaks two other things, nobody can say if it's secure, and the AI that wrote it can't fix it either.
Nothing went wrong with you. This is what AI-generated software does at the boundary between demo and product — and it's repairable.
What the prototype is
Evidence.
It proved what you want, how it should feel, and what users respond to. That knowledge is worth keeping — it's the gold in this repair.
What it usually isn't
A foundation.
AI-generated codebases fail in patterns — duplicated logic, missing tests, security gaps, architecture that fights every change. We audit for exactly these patterns, keep what's sound, and rebuild what isn't, in an order that produces working software at every step.
How it starts
A fixed-price read of what you actually have.
The audit takes 1–2 weeks, the scope and price are fixed before it begins, and the written result is yours either way.
- What's salvageable
- Which parts are sound, which are load-bearing, and which are quietly dangerous.
- What it would take
- A sequenced plan where each step leaves you with working software, not a rewrite you must finish before anything improves.
- Whether it's worth it
- Sometimes the answer is "ship the rebuild"; sometimes it's "your prototype is closer than you think." Both are honest days' work.
There is no obligation to continue. The honest diagnosis is the product — we are not a vendor running a free "assessment" scoped to find reasons to hire us.
Questions
AI code rescue, answered.
What counts as an AI-generated app?
Anything where most of the code was written by a model rather than a person — Cursor, Claude Code, Lovable, Bolt, v0, or a mix. The repair is the same regardless of which tool produced it; what matters is the shape the code is in.
Is the prototype wasted?
No. It is the most useful specification you could have handed us: it proved what you want, how it should feel, and what users respond to. We keep that and make the software worthy of it.
Why does AI-generated code get stuck?
Models optimise for code that looks right now, not for a system that stays changeable later. That produces recognisable patterns: logic duplicated in a dozen places, no tests to tell you what broke, authorisation checks that are missing rather than wrong, and an architecture that resists every new requirement.
Can't I just ask the AI to fix it?
Sometimes, for small things. The failures that bring people here are structural — they need a decision about what the system should be, which is the part a model cannot make for you. Once that decision exists, AI is a perfectly good tool for carrying it out, and we use it.
Do you rewrite it from scratch?
Only when the audit says so, with reasons. Rewrites feel clean and are usually the most expensive way to lose what the prototype taught you.
Is it secure?
That is one of the first things the audit answers, and it is the most common unpleasant surprise. AI-written code tends to carry more security defects than human-written code, largely because nobody was asked to think about the failure cases.
Start here
Tell us where your product is, and we will tell you what we would do next.
No pitch deck required. A short description of the situation is enough for a useful first conversation.