AI Code Audit —Before You Trust It
Your team built fast with AI tools — now customers, investors, or a gut feeling are asking whether the code is actually sound. We audit it properly: what works, what silently breaks, and what it will cost to fix. You get the truth in writing, in about a week.
Built for Teams Like Yours
If any of these sound familiar, this is exactly the kind of work we do every week.
Founders who shipped with AI builders — Lovable, Bolt, Cursor, Copilot — and now need to know whether the app is safe to put real customers on
Teams whose AI-generated code passed the demo and now fails the details: real data, concurrent users, edge cases, the second week of production
Leaders who inherited AI-written code from a contractor or a departing developer, with no documentation and nobody who can vouch for it
Everything, End to End
One accountable team from first workshop to production handover.
Full codebase review
A senior engineer reads the application end to end: architecture, data model, authentication, API surface, error handling — and the AI-generated paths nobody has re-read since they were generated. We report what the code actually does, not what the tool claimed it would do.
Security & correctness check
The failure modes AI code is known for: hallucinated dependencies, plausible-looking auth, secrets committed in plain text, error states that fail open, race conditions that only appear under real load. Every finding is severity-ranked — what will break you, what might, and what is merely ugly.
Written report + walkthrough call
You receive a written report: severity-ranked findings, the risk or rework cost of each, and a fix roadmap with honest effort estimates. Then a live walkthrough call, so you can ask "how bad is it really" and get a straight answer from the engineer who read the code.
Fixed-scope fix quote
If you want the problems fixed, the audit ends in a fixed-scope quote for the work — and the full audit fee is credited against the project if we do it. One week of clarity, converted into a number you can plan around.
A Process You Can Follow
Working software at every stage — no black boxes, no big reveals.
NDA first, then the code
You send a repo link or an archive — a single app or a sprawling monorepo, scoped the same way. We sign the NDA before access, work read-only, and tell you exactly what we will examine. Your code never leaves the audit scope.
Senior engineers read everything
No automated scanner printout dressed up as an audit. AI-generated code reads as confident whether it is correct or not — so the review is human, line by line, against how the application actually behaves with real data and real traffic.
Findings, roadmap, decision
Within about a week you have the written report, the walkthrough call, and — if you want the fixes done — a fixed-scope quote with the audit fee credited. The report is yours to keep either way, including to hand to any developer you choose.
What Good Looks Like
We work under NDA with nearly every client, so we describe results as patterns — the shape of the outcome is what matters.
You know exactly what you are running: what is sound, what is fragile, and what the AI layer quietly got wrong
Risks are ranked by consequence, so budget goes to the two things that matter first — not to a random refactor
The fix, if you want it, starts from a fixed scope with the audit fee credited — no open-ended hourly mystery
Straight Answers
The questions we hear most — answered the way we'd answer them on a call.
Audits start at $2,500 and scale with the size and state of the codebase — a small app and a sprawling monorepo are different jobs. We confirm the fixed price with you before any work starts, and the full fee is credited against the repair project if we do the fixes.
From the Knowledge Hub
Get a Scope Estimate in Minutes
Tell our in-house AI assistant what you're building. It asks the scoping questions an engineer would, shows you what the number actually buys — scope, timeline, and what the low end omits — and if it's a fit, books the next step right there in chat.
(714) 696-9723Talk to an engineer, not a salesperson • Straight answers on fit and cost