Component surgery
God-components split into presentational and stateful pieces with props you can read, so a change to one screen stops rippling through five others.
Refactor & cleanup
Refactor AI-generated code into something you can keep building on
Lovable, Bolt, v0 and Cursor write code fast — and they write it flat. We reshape it into modules with clear boundaries, so the next feature takes an afternoon instead of a week.
In short
Refactoring an AI-generated codebase means restructuring the code without changing its behaviour: splitting oversized components, extracting duplicated logic, adding real types at the boundaries, and covering the critical paths with tests first. Gen2Prod does this for a fixed price, usually in one to two weeks, and every change ships behind a passing test suite — so your app looks and behaves exactly as it did before, and is far cheaper to change afterwards.
- What it costs
- Free audit first, then from $290
- Typical timeline
- 1–2 weeks
- Best for
- Apps of 5k–50k lines that have become hard to change
- What users notice
- Nothing — behaviour is preserved by design
- Delivered as
- Pull requests you review and merge
You probably need this if…
- One component file is past a thousand lines and nobody wants to open it.
- The same fetch-and-format logic is copy-pasted into six screens.
- Every new feature breaks something unrelated.
- TypeScript is switched on, but `any` is everywhere.
- The AI tool has started rewriting parts of the app you didn't ask it to touch.
What refactor & cleanup covers
Shared logic extracted
Duplicated fetching, formatting, and validation move into single tested modules — one place to fix a bug instead of six.
Real types at the boundaries
`any` replaced with types generated from your schema, so your editor catches the mismatch instead of your users.
Dead code removed
Unused routes, abandoned experiments, and half-wired features deleted, with commits that say what went and why.
Tests on the paths that pay
Signup, checkout, and whatever else earns money get covered first — that's what makes the refactor provably safe.
State untangled
Prop drilling and duplicated client state collapse into one predictable flow: server state on the server, UI state in the UI.
How we run it
- 1
Map the repo
We chart what depends on what — which files are hot, which are dead, and which are one edit away from an outage.
- 2
Pin the behaviour
Before touching structure we capture the current behaviour in tests. That's what makes “nothing changed for users” a promise rather than a hope.
- 3
Reshape in small commits
Every commit reviewable and green. You follow along in the pull requests and can stop us at any point.
What you get back
- A repo of modules rather than monoliths, delivered in small reviewable commits
- A test suite covering your revenue paths
- A typed data layer generated from your schema
- An architecture note explaining the new shape and the reasoning
- A ranked list of what we deliberately left alone, and when it will start to matter
Tools we reach for
- TypeScript
- React & Next.js
- ESLint & Prettier
- Vitest & Playwright
- Zod
- TanStack Query
- Server Components
Refactor & cleanup — questions we get asked
Will a refactor change how my app looks or behaves?
No — that is the definition of a refactor: structure changes, behaviour doesn't. We capture the current behaviour in tests before restructuring, and anything we think should change is raised as a separate decision for you to make.
How long does refactoring an AI-generated app take?
Most apps in the 5,000–50,000 line range take one to two weeks. You get a fixed price and a delivery date after the free audit, before any work starts.
Can I keep using Lovable, Bolt or Cursor afterwards?
Yes, and we set it up for that. We leave the project in a shape those tools handle better than the flat structure they generate: smaller files, clear boundaries, and a README that tells the next developer — human or AI — where things belong.
Do you rewrite from scratch?
Almost never. A rebuild is a last resort and we'll tell you honestly on the rare occasion one is warranted. Keeping what works is cheaper and less risky than starting over.
Often paired with
All servicesPerformance tuning
A prototype is fast because it holds twelve rows. We profile the paths your users actually take, then fix the ones that fall over at scale.
Learn moreDatabase & queries
AI tools write queries that work. They don't write queries that work at a million rows. We find the ones that will melt first and fix them at the source.
Learn moreSecurity hardening
An API key in the browser bundle. Authorisation checked only in the UI. It's the same short list nearly every time, and every item on it is exploitable in an afternoon.
Learn more