Vibe code rescue
Your AI-built codebase outgrew your team.
Which means it worked. The idea proved out, the users arrived, and the code kept saying yes. We help you take back control of the thing you built.
No lecture is coming. Shipping fast with AI was a rational decision, and for most of its life that decision kept paying. Our job starts at the point where the codebase knows things your team no longer does.
Why nobody saw it
The code reads like it was designed. It was predicted.
Each file, on its own, looked right. Most of them were right.
AI produces code with the surface finish of work that has been reviewed and tested. The finish is genuine. The review and the tests it implies never happened.
A model writes every file as if it were the first one it ever saw, because to the model, it is. It keeps no memory of the promises it made one file over, no record of which module owns which rule. Your codebase accumulated authorship without ever acquiring an author. Every line had a reason. The system never got one.
No single file was wrong. The property that failed, consistency across the whole system, was never in any diff for anyone to see. You did not miss it. There was no place to stand where it was visible.
Then the product succeeded, and success is load. More users, more features, more places where two halves of the code disagree about the same fact. A prototype can carry a demo. You are asking this one to carry a business.
The evidence
This is measured, not anecdotal.
GitClear analyzed 211 million changed lines of code and found copy-pasted lines rising from 8.3 percent in 2021 to 12.3 percent in 2024, with code clones growing roughly fourfold over the period. Duplication is what a generator without memory produces. Every future fix has to be found and made in every copy, or missed in one.
Escape.tech studied roughly 1,400 applications built with AI vibe-coding tools. Across them it found 2,038 highly critical vulnerabilities, more than 400 leaked secrets, and 175 separate exposures of personal data. These are not demos. Real people already have accounts on systems like these.
The supply chain has its own version. Research on hallucinated package names, a problem now called slopsquatting, found that roughly one in five packages recommended across 576,000 generated code samples did not exist. Attackers register the invented names and wait for the next generated import to pull their code.
We cite those numbers for one reason: so you know the state of your codebase is a property of the tooling era it was built in, not a verdict on your team.
What we find
The failure modes are specific. None of them are exotic.
Open one of these codebases and the same list appears. Each item is invisible while nothing changes, and each one surfaces the first time something does.
Tests exist for the happy path and nothing else. The demo path is paved. Every other path is a rumor.
Three modules solve the same problem three different ways. A bug fixed in one survives in the other two.
Credentials committed into source, still valid, visible to anyone with read access to the repository. Deleting them from the current tree does not remove them from history.
Checked in the browser and nowhere else. The server trusts whatever arrives, which makes the check a suggestion.
No migration discipline, so the schema in production drifted away from the schema in anyone's head. Nobody can rebuild the database from what is written down.
The rule that decides who gets charged what, or which order ships first, lives somewhere in the code. Nobody can point to where. That rule is your business, and your business cannot currently locate it.
It works. Nobody will touch it, because nobody knows why it works, and the price of finding out is unknown.
The work
We do not start by rewriting.
A rewrite is the most expensive way to discover what the old system did. We take the cheaper route: learn the system first, then change it on purpose.
- Read it and map it before changing anything. We build the map the model never kept: what exists, what talks to what, and which behavior the business actually depends on. The map is a deliverable. You keep it either way.
- Put a test around the behavior you cannot afford to lose. Not full coverage on day one. A net under the paths that earn your revenue, so a change that breaks them fails a test instead of a customer.
- Find the secrets and rotate them. Anything committed into source gets treated as already stolen. New credentials, proper secret storage, and the repository history dealt with.
- Put authorization on the server. The browser may ask. The server decides. Every endpoint enforces the rule whether or not a screen sits in front of it.
- Give the schema a migration history. From that point forward the database changes by script, in order, on the record. Production stops being the only copy of the truth.
- Collapse the duplicated logic one seam at a time. Each consolidation lands behind the tests from step two, so behavior holds while the copies disappear.
- Hand it back with the pipeline and the board. The code, the pipeline that deploys it, and the Azure DevOps board recording every decision we made. You end this owning a system, not renting a dependency.
This is the same discipline we apply to our own product work in .NET, Blazor, Azure SQL, and SignalR, with tests in Playwright and every change tracked in Azure DevOps. We are describing how we already work.
The other answer
Sometimes the repair is the wrong purchase.
Some prototypes did their job. They proved the idea, found the customers, and taught you what the real system has to be. The right end for a prototype like that is deliberate replacement: designed against what it taught you, built alongside it while it keeps running, retired on a schedule you choose instead of a night you do not.
We will tell you which one you are looking at, and we will tell you before you have paid us to find out.
Start here
Send us the thing you are worried about.
A paragraph is enough. What the system does, what it runs on, and what you are afraid to change. We will answer with our honest read: repair, replace, or a problem you do not have.
We have been a Florida corporation since 2006. Twenty years teaches you the difference between a system that is broken and a system that is merely unfamiliar.