// 02 service
AI Code Rescue
We built our product with AI tools and it works in the demo, but it breaks in production, and we do not know if it is safe.
What we do
AI tools can get a product to a demo fast. What they often leave behind is a codebase that is risky to run and hard to change. We audit that code, make it safe, and make it maintainable.
The problems we find most often:
- Security holes. Exposed keys, missing access checks, unvalidated input, vulnerable dependencies.
- No tests. Every change is a gamble, so nobody dares touch anything.
- It cannot scale. Fine for ten users, slow or broken for a thousand, with queries and state handled in ways that do not hold up.
- Nobody understands the code. Duplicated logic, inconsistent patterns and no documentation, so fixing one bug creates two more.
How an engagement works
- Audit. A short, scoped review of security, quality, tests and scalability, with a ranked findings report.
- Harden. We fix the serious issues first and add tests around the behaviour that matters.
- Stabilise. We restructure the worst areas, set up deployment checks, and document how it works.
- Handover. Your team or developer takes over with a codebase they can read, test and extend.
Relevant experience
We bring experience across banking and major UK infrastructure programmes, where code review, testing and security are not optional. We apply that standard to software built with AI tools.
Common questions
Can you tell if our AI-built app is secure?
We review authentication, data access, secrets handling, dependencies and input validation, then report what we find in plain language, ranked by risk. Fixing the serious holes comes first.
Do we have to rewrite everything?
Usually not. We keep what works, fix what is dangerous, and replace only the parts that cannot be saved. We tell you which is which before any work starts.
How much does a code rescue cost and how long does it take?
We start with a short, scoped audit. Hardening depends on what the audit finds, and we quote it separately so you can decide with the facts in hand.
Can our team keep using AI tools afterwards?
Yes. We set up tests, review habits and guardrails so AI-assisted development stays productive without piling up risk again.
Will you work with the developer or freelancer who built it?
Happily. We work with whoever holds the code and leave clear notes so everyone knows what changed and why.