Prototype to production

From AI prototype to production software

Lovable, Figma and AI coding tools prove an idea fast. When real users, data and features arrive, we take over and make it production ready.

In short

AI app builders such as Lovable prove an idea fast, but their prototypes often keep business logic and database access in the browser, with no tests, CI or monitoring. We audit the code, stabilize it, move logic behind a secure API, and ship production web and mobile apps on a backend built to scale.

Typical input
Lovable app, Figma designs, AI generated code
Steps
Audit, stabilize, re-architect, ship
Output
Web app, React Native apps, scalable backend
Starts with
1–2 week sprint, $1k–$2k
TYPICAL AI BUILT PROTOTYPEBrowser appUI and business logic togetherdirect querieskey in appHosted databasebrowser queries itAI model APIcalled from clientno testsno CIno monitoringTAKEOVER1 Audit2 Stabilize3 Re-architect4 ShipPRODUCTION ARCHITECTUREWeb appMobile appsHTTPSAPI and authsecrets stay on the serverServicesNode.js, GoQueueasync jobsAI servicewith checksPostgreSQL · Redis cachetests · CI/CD · monitoring
Left, the shape most AI built prototypes share. Right, what they become. Logic moves behind an API, slow work goes to a queue, AI output is checked, and every change ships through tests and CI.

Signs your prototype has hit its limit

  • Each new feature breaks something that used to work
  • Prompting fixes one bug and creates another
  • Pages slow down and requests time out as data grows
  • Auth, payments and data access you are not sure are secure
  • No tests, no staging and no safe way to roll back
  • Hosting and AI bills rising faster than usage
  • The same takeover work, on larger systems
  • Suprema BioStar 2Took over a live platform straining under 1TB+ of logs and made it fast, async and covered by tests.
  • Time DoctorReplaced a tightly coupled payment service with an event-driven one for 280k+ active users.
  • ZeniusRedesigned schema, indexing, sharding and caching as usage grew to 8M+ registered users.
  • Book a call

    Share the repo or a demo link and we will tell you what it needs to scale.

When to call us

Signs this is the right time

  • Each new feature breaks something that used to work
  • Prompting fixes one bug and creates another
  • Pages slow down as users and data grow
  • You are not sure auth, payments and data access are secure
  • There are no tests, no staging and no safe way to roll back

Questions

Common questions

Anything else is easier to answer on a short call.

Should we rebuild our Lovable app or keep it?

It depends on the code. We audit it first and give you a written plan for what to keep, refactor or rebuild, so you only rewrite what blocks you.

Why do AI built prototypes break with real users?

They often query the database straight from the browser, keep API keys in the app, and ship without tests, CI or monitoring. Each new feature then risks breaking another.

How long does a takeover take?

It starts with a 1–2 week discovery and architecture sprint. After it you get a milestone plan with the timeline and budget for the rest.

Tell us what you need to build or scale.

Engagements start with a 1–2 week discovery sprint, $1,000 to $2,000. Email