Vibe-coded builds
You built it with AI. We make it real.
ChatGPT, Claude, Lovable, Manus, Replit, Cursor, the prototype came together in a weekend. Then deployment, security, data, and scale turned into a wall. We take AI-built software the rest of the way: audited, hardened, deployed, and able to carry real users.
Plain definition
What is a vibe-coded app?
A vibe-coded app is software where most of the code was written by an AI tool, such as ChatGPT, Claude, Lovable, Replit, Cursor or Bolt, with a person directing it rather than writing it line by line. These builds typically get you 60 to 80 percent of a working product. The last 20 to 40 percent is security, architecture, data integrity, testing and deployment, and that is where AI-generated code consistently falls short.
Where it stalls
The prompt got you a demo. Production is a different job.
- It runs on your laptop and nowhere else
- No authentication worth the name, and secrets sitting in the client
- No tests, no environments, no way to ship a change safely
- A schema that cannot carry real data volume
- Forty prompts of accumulated code that nobody can read
- Costs that spike the moment more than a handful of people use it
- A compliance or privacy obligation the build never accounted for
- You cannot hire against it, no developer wants to inherit it
How we take it to production
A short, predictable-cost path from prototype to something you can actually run.
Production-readiness audit
We read what the AI wrote. What works, what is unsafe, what has to be rebuilt, and what can honestly be kept.
Security and data hardening
Authentication, authorisation, secrets, and the data model fixed before anything goes near real users.
Re-architecture where it is needed
The parts that cannot scale get rebuilt on foundations that hold. The parts that can, stay.
Deployment, environments and tests
Real environments, a deploy pipeline, monitoring, and the tests that let you change things without fear.
Handover or ongoing sprints
Documented and handed back to your team, or we stay on as your product engine. Your call.
Who this is for
Three situations we see most often.
Founders who shipped an MVP with AI
You proved the idea with Claude, ChatGPT, Lovable, Manus, Replit or Cursor. Customers want it. It will not survive them.
Operators with an internal tool
You built something that runs part of your business. Now it is load-bearing, and nobody can safely change it.
Teams told “it needs a rewrite”
Get a second opinion first. Often less needs rebuilding than an agency will tell you.
What you end up with
Software you can run, sell, and hire against.
Deployed properly, secured, monitored, and documented, with the IP and source yours from day one. If it needs to keep growing, it now can.
See platform stabilisationCommon questions
Can a vibe-coded app be used in production?
Sometimes, but rarely as it stands. The build usually works on the machine it was made on and fails on what production actually demands: authentication, secrets handling, a data model that holds under volume, tests, environments, and a safe way to ship a change. None of that is visible in a demo. All of it surfaces the week real customers arrive.
How do I know if my AI-built app is production-ready?
There are eight signs it is not. It runs on your laptop and nowhere else. There is no authentication worth the name. Secrets are sitting in the client. There are no tests and no environments. The schema cannot carry real data volume. Nobody can read the accumulated code. Costs spike past a handful of users. No developer wants to inherit it. Recognise three or more and you have a prototype, not a product.
Do you rebuild it from scratch?
Usually not. We read what the AI wrote and sort it into three piles: what works and stays, what is unsafe and gets hardened, and what cannot scale and gets rebuilt. Throwing out working code is slow and expensive, and most of the time it is not necessary. A full rewrite is a recommendation we have to justify, not a default.
How long does it take?
It starts with a production-readiness audit, because that is what produces an honest scope. Before that audit, any timeline is a guess, and guesses are how cost blowouts start. The audit is deliberately short, so you get a real answer quickly rather than a comfortable one slowly.
What does it cost?
Every engagement is scoped first and priced second. Not a rate card, not an hourly rate that turns into a blank cheque. You know what you are getting, what it costs and when it ships, before you commit.
Who owns the code once you have worked on it?
You do, including everything we write. Code, IP and assets are yours. Owned assets run cleaner and they lift your company's valuation, and that only works if you actually hold them.
Was building with AI a mistake?
No. It is a fast, cheap way to validate an idea and prove demand before committing real budget. The mistake is assuming the thing that validated the idea is the thing you can sell. Those are two different builds held to two different standards.