I rescue Lovable projects that have stopped moving forward. You know the pattern: you fix the login form, the dashboard breaks. You fix the dashboard, a route from three prompts ago forgets its props. Every prompt costs credits and buys you a lateral move.

This isn't you prompting badly. It's structural. Once your app passes a certain size, the AI can't hold the whole codebase in context anymore, so it writes confident new code over decisions it no longer remembers making. On top of that, it's been generating 800-line god components and duplicating the same logic in four places since day one. The codebase got too tangled for the tool that built it.

I go in by hand, untangle it, and give you back an app you can keep building on. Including in Lovable.

Breaking the fix-one-break-two loop, permanently

Refactoring god components and duplicated logic into a real structure

Cleaning out dead code from abandoned prompts

Making the codebase small and legible enough for the AI to work in again

Most developers who touch a Lovable app want to rewrite it from scratch. That throws away weeks of your work and your money. I refactor in place, which is slower for me and much cheaper for you, and I keep it Lovable-compatible so you're not locked out of the tool you chose. I've also watched enough of these go sideways to know which mess is worth fixing and which part genuinely needs replacing. I'll tell you the difference honestly.

Before I touch anything: a real audit of what's actually breaking and why. Duplicated logic, god components, dead code from prompts you abandoned, state managed in four contradictory places, conditional logic stacked until nobody can trace a request. You get the list and my read on what's causing your specific loop. Sometimes the answer is one bad pattern repeated thirty times.

Oversized components split into focused ones. Duplicated logic pulled into shared functions with a single source of truth. Consistent patterns instead of whichever style the model happened to emit that week. Proper state management so a change in one place stops silently breaking another. Done incrementally with testing at each step, never in one reckless sweep.

Version control with real branches, so a bad change is a revert instead of a crisis. Tests on your critical flows (auth, payments, whatever your app can't afford to break) that catch a regression before your users do. Actual error handling and error states instead of a happy path. From here on you'll know immediately when something breaks, not three days later from a customer email.

While I'm in there: Row Level Security policies reviewed (Lovable's defaults are usually too permissive or off entirely), any API keys sitting in your frontend moved server-side, missing database indexes added, foreign keys and constraints made real. Quiet fixes that stop being quiet the day you get traffic.

Clean documented code, plus guidance on how to keep prompting Lovable without walking straight back into the same loop: what to hand the AI, what to keep away from it, and how to structure requests so it stops overwriting your work. You leave more capable than you arrived.

Diagnosis in 1 day, so you know what you're dealing with before committing to anything. Most refactors ship in 4 to 7 days depending on how deep the tangle goes. Fixed quote after the audit, never open-ended credit burn.

Projects, stacks, and outcomes on my site. Live builds you can open and read on Lovable.

Website: pmcosta.dev

Lovable profile: https://lovable.dev/@pmcosta