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Is your AI-built app production-ready?
You shipped fast with AI. Before you scale it, raise on it, or hand it to a team, get an independent senior review. It tells you whether the code behind your vibe-coded MVP is production-grade, or a liability.
Corporate buyers know this as code assurance or technical due diligence.
What the audit answers
One question a demo cannot answer: is this codebase real, safe, and maintainable? You get a clear verdict: go, fix-first, or no-go. Plus a prioritized remediation roadmap and a rough cost and time to production-grade.
Who it is for
Founders, pre-raise or pre-scale
You built the MVP with AI. Before you raise or hire engineers, know what is real and what needs rebuilding.
Corporate assurance
Governing shadow AI, or signing off a vendor's delivery? You get an independent acceptance gate with an audit trail.
Investor technical due diligence
About to fund or acquire an AI-built product? We tell you whether the codebase is an asset or a risk, before you sign.
What we examine
Vibe-coded software fails in predictable ways. We check each one.
- Does it work, or only demo-work? Real edge cases, not the happy path.
- Security and secrets. Hardcoded keys, missing auth, injection points.
- Correctness. Code that looks right but computes the wrong result.
- Tests and CI. The safety net that lets you change code without fear.
- Hidden tech debt. Duplication, dead code, and invented dependencies.
- Data and GDPR. Where user data goes, and whether that is lawful.
- Scale and cost. Behavior at ten times the load, or the cloud bill.
- Supply chain. Risky or incompatible open-source packages and licenses.
- Maintainability. Can a human team safely take this over?
Why not just run a scanner?
SonarQube and Snyk are useful. They find known-pattern issues cheaply and run in your pipeline. They cannot judge whether the logic is correct, the architecture will hold, or a team can maintain the result. A vibe-coded app can pass both and still be unfit to ship.
We use those tools as inputs. We sell the judgment they cannot provide.
Background reading: how we practise AI-assisted engineering instead of vibe coding, and where the hidden tech debt in vibe-coded apps collects.
Modernizing a legacy app?
Same discipline, applied to change. Before we touch legacy code, we build a test harness that proves the current behavior. Then we modernize against it. You get a provable safety net, not a big-bang rewrite.
The deliverable
- A go / fix-first / no-go verdict
- A prioritized risk report
- A remediation roadmap
- A rough cost and time to production-grade
How it runs
- Fixed scope, fixed price
- Senior review, about one to two weeks
- Your code stays with you
- Clear next steps you can act on
Frequently asked questions
How long does the audit take?
Usually one to two weeks, depending on the size of the codebase. Scope and price are fixed before we start.
Do you fix the issues too?
The audit is independent and diagnostic. If you want the fixes, the remediation roadmap doubles as a scoped plan we can build against.
Is this the same as SonarQube or Snyk?
No. Those tools flag known patterns. We add senior judgment on correctness, architecture, and maintainability, which tools cannot assess.