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Vibecoded to Production

Your AI built it. We make it safe to run. We take AI-generated prototypes that already work and turn them into software you can put in front of customers.

AI coding tools have made the first eighty percent remarkably fast. A founder or an internal team can now produce something that genuinely works, demos well, and proves the idea. That is real progress, and the prototype is often a better specification than any document would have been.


The remaining twenty percent is where these projects stall, because it is the part that does not show up in a demo. Authentication that survives contact with a real attacker. Error handling for the paths nobody clicked. A data model that will not need migrating in month two. Tests, observability, and a deployment process that does not depend on one person’s laptop.


We start by reading what you built and keeping the parts that are sound, this is not a rewrite dressed up as a rescue. Then we harden the foundations, close the security gaps, add the test coverage that lets you change things safely, and hand back something your team can operate. Often the fastest route to production available.

What this includes

  • /Code review of what the AI produced, kept where sound
  • /Security hardening, auth, input validation, secrets
  • /Data model review and migration to something durable
  • /Error handling, edge cases, and graceful failure
  • /Test coverage so future changes are safe
  • /Deployment, monitoring, and handover to your team

When teams call us

  • /A working prototype you cannot responsibly launch
  • /An internal tool that outgrew its origins
  • /Something built fast that now handles real customer data
  • /A demo that won budget and now needs to be real
  • /Code nobody on the team fully understands
// other ai & data services

AI Discovery Workshops

Find the AI features worth building, and the ones that are not. A few structured days that replace a backlog of speculative ideas with a short, costed roadmap.

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Data Engineering

Pipelines you can trust the numbers from. We build the infrastructure that turns scattered operational data into something a business can actually make decisions on.

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ML & Analytics

Models and dashboards that change what people do. We build analytics tied to decisions, and machine learning only where it beats a simpler answer.

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Common questions

What does Vibecoded to Production mean?+

It is the process of taking an AI-generated or rapidly built prototype and turning it into production-ready software without throwing away the parts that already work.

Do you rewrite the whole prototype from scratch?+

Not by default. We start by reviewing what is already there, keeping the sound parts, and only rebuilding the areas that create security, reliability, scalability, or maintainability risk.

What do you usually fix before launch?+

Typical work includes authentication, input validation, secrets management, data modelling, error handling, test coverage, deployment, monitoring, and the edge cases that prototypes often skip.

Can you work with code generated by tools like Claude, Cursor, Lovable, or Replit?+

Yes. We work with the codebase as it exists, regardless of which AI coding tool produced it, and focus on getting it to a standard your team can safely run and maintain.

How do you know whether a prototype is ready for production?+

We review the code, architecture, security, data model, failure modes, test coverage, and deployment setup, then identify what must change before real users or sensitive data depend on it.

Can you keep improving the product after it goes live?+

Yes. Once the foundations are production-ready, we can continue with feature development, QA, cloud operations, monitoring, and ongoing product engineering.

Need help with vibecoded to production?

Whether it is a rebuild or extra hands, the first call is 30 minutes.

Book a 30-min call