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AI-built systems

Built with Lovable, Bolt, Cursor or ChatGPT — and now stuck?

The prototype worked. Then changes started breaking things, and the person who prompted it into existence cannot explain why. That is the normal end of the vibe-coding honeymoon — and it is fixable.

Signs the vibe-coding honeymoon is over

None of these mean the project was a mistake. They mean it has reached the point where speed-only tooling stops being enough.

Change one thing, break ten

Without architecture or tests, every edit is a gamble. Fixes create new bugs faster than they close old ones.

No commit history

A single snapshot, or exports with no history, means nobody can see what changed, when, or why — or undo a bad change.

Secrets hardcoded in the frontend

AI tools happily embed API keys where browsers can read them. If your keys are in the client bundle, assume they are public.

Nobody knows what is deliberate

Generated code mixes real decisions with filler. Without documentation, nobody can tell which parts are load-bearing.

You did not rent an app — you own one

That is the good news. The code, the database and the accounts are assets you own, even if they are messy. Taking over a vibe-coded system is not starting over: it is converting a working prototype into a maintainable product, keeping everything that already works.

What we check first in AI-generated code

AI-generated systems fail in characteristic ways. The assessment looks specifically for these:

  1. 1

    Exposed secrets

    API keys, tokens and credentials embedded in frontend code, public repos or chat logs — found and rotated.

  2. 2

    Dependency reality

    Versions, licenses and abandoned packages that the generator picked and nobody reviewed.

  3. 3

    Data and migrations

    Whether the database schema is reproducible, backed up, and safe to change without losing production data.

  4. 4

    Payment and auth flows

    Checkout, subscriptions and login — the flows where a generated shortcut becomes a real financial or security incident.

  5. 5

    Intended vs accidental behavior

    Which behaviors your users rely on, so stabilizing the code does not silently change the product.

The takeover assessment

An assessment built for AI-generated code

Vibe-coded systems need a different review: not 'is the code elegant' but 'what does it actually do, where does it leak, and what will break next'. A vetted expert reads the whole system and writes the answers down.

  • Fixed price, agreed before work starts — no hourly ambiguity.
  • Delivered in 3–5 business days.
  • A written verdict: what exists, what is at risk, what it costs to stabilize — including an honest 'rewrite it' if that is the truth.

There is no obligation to continue past the assessment. The report is yours either way.

Which situation are you in?

Common questions

Can we keep building on top of the generated code?

Usually yes. The assessment identifies which parts are stable enough to keep and which need to be isolated or rewritten. Most vibe-coded apps can be stabilized without a full rebuild.

Do we have to keep paying for Lovable or Bolt?

Only if you want to. Part of the takeover is moving the project into a normal repository and toolchain that you own, so you are no longer tied to the tool that generated it.

Is our data safe if the app was built by AI?

That is exactly what the assessment checks: where data lives, who can read it, whether backups exist, and whether any keys are exposed. You get the answer in writing.

What does stabilizing a vibe-coded app cost?

The assessment itself is a fixed price. Stabilization work is quoted from the assessment findings — never before anyone has read the code.

Turn the prototype into a product you control

Post a takeover assessment and get a written verdict on your AI-built system within 3–5 business days.