Have you done this before?+
Straight answer: we launched this as a named service in 2026, because it's the failure mode we now see most often. What sits behind it isn't new. We've spent years taking over other people's codebases — stalled builds, inherited systems, work someone walked away from — and AI-written code is a specific flavour of that same job. It has its own failure modes: it's confident, it looks consistent, and it's wrong in places that read perfectly fine. We also build with AI every day, including this website, which is the main reason we can tell quickly which parts of a generated codebase are load-bearing and which are filler. The audit is free precisely so you don't have to take our word for any of that — you'll have a document in 48 to 72 hours and you can judge us on it.
Are you going to tell me to throw it away and start over?+
Only if that's genuinely true, and we'd rather it weren't. A cleanup is worth doing when repairing costs meaningfully less than rebuilding, and with AI-generated code it usually does — the product decisions are sound, it's the plumbing underneath that was never thought through. When the foundations really can't carry what you need, the report says so, along with what we'd do instead and roughly what it would cost.
I built it myself with Cursor / Claude / Lovable / Replit.+
Good, and there's nothing embarrassing about it. You got to a working product without waiting on a developer, which is the part most people never manage. The tools don't change the audit — we'll tell you what we find and what it takes to make it safe, without the lecture about how it should have been built.
Can we keep working the way we do, with AI?+
Yes, and we'd want you to. Handing back a codebase you can no longer prompt against would just move the problem. A real part of this work is making it safe to keep going — tests that catch a bad generation before it ships, structure clear enough that the model follows it instead of inventing a fourth pattern, and hard limits around the parts that must never be improvised.
Do you need production access?+
Not for the audit. Read access to the repository is enough to tell you where you stand, and we'll work from a copy. Anything that touches live systems or live data happens later, with your permission, and we'll say plainly what we need and why before we ask.
How long does the audit take?+
48 to 72 hours from the moment we have read access. It's a fixed scope, so it can't quietly turn into a billable discovery project.
What's the catch if the audit is free?+
There isn't one. Reading a codebase is how we find out whether we can help, and we'd rather spend two days learning that than two weeks writing a proposal for work we shouldn't take. It also filters honestly in both directions: if the code is in better shape than you feared, we'll say so and you'll have saved yourself a project. You keep the document regardless, and giving us read access is the entire cost.
Who actually reads the code?+
A senior engineer, named before you commit. Not an automated scanner, and not a junior with a checklist — a static analysis tool can flag a missing index, but it can't tell you that two files disagree about what a user is, which is the class of problem generated code produces most. The person who writes the audit is the person who'd do the remediation.