Every change breaks something else
You ask the AI to fix one thing and two others stop working; nobody knows which version is live.
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AI-native development · Fix an AI-built app
Your app keeps breaking when customers use it
You built it with AI tools and it was fine with one user and test data. Now real customers use it, with real records and a bill that grows every week: a page that takes 20 seconds, a report that double counts, an upload that hangs, a fix that breaks two other things. Our engineers reproduce the bug, fix the cause and test the fix before it ships, in your repo, and leave you with tests, logs and a plan. The first review is free; the fixes are paid work with a fixed scope.
- ~75%Lower Supabase bill, one Lovable app with 30,000 users
- 52%Of commits after go-live were fixes, on our own product
- FreeWritten first review, limited in scope
This is for you if the app grew faster than its foundations
Real data behaves differently than test data
Imports fail on real spreadsheets, reports disagree with each other, records go missing or appear twice.
It got slow and expensive
Pages time out with a few hundred users, and the Supabase, Vercel or OpenAI bill doubled without anyone deciding that.
Phones, uploads and background jobs
The mobile build crashes, large photos hang the app, scheduled jobs silently stop, two people book the same slot.
What you get. Fixes that stay fixed
The cause, found on a copy
We reproduce the bug on a staging copy with real-shaped data and trace it to the data model, the queries, the jobs or the code before anything changes in production.
Fixes in your repo, with tests
Regression tests for the flows that keep breaking, so a fix stays fixed, and a way back for every release.
A bill you can explain
Where the hosting and AI money goes: image transformations repeated on every request, unindexed queries, model calls in a loop. We show you before we change anything.
Monitoring and a written plan
Error tracking, logs and alerts if there are none, so someone on your side knows when something breaks. A list of what is still fragile and what to fix next.
No rewrite by default
When we keep your code and when we don't
We review what you have, then explain what can stay, what needs fixing and what needs replacing. You get the list before agreeing to paid work.
What usually stays
Frontend that users already know
Working business logic
Your data, with a checked migration if needed
Your user accounts, with sign-in changes agreed before release
What usually goes
Stored procedures that nobody can run twice
Logic duplicated across tables
Queries and jobs that only work for one user
Code that cannot be tested as it is
Tech stack. Where AI-built apps bend first
We troubleshoot apps built with Lovable, Bolt, Replit, v0, Cursor and Claude Code across the frontend, database, hosting, authentication and payments. We profile slow queries and expensive jobs, reproduce failed sign-ins and payment flows, and add regression tests and error tracking. Your builder and stack stay where they hold up.
Tech stack
- Lovable
- Bolt
- Replit
- v0
- Cursor
- Claude Code
- React
- Next.js
- React Native
- TypeScript
- Node.js
- Supabase
- PostgreSQL
- Firebase
- Vercel
- Railway
- AWS
- Supabase Auth
- Clerk
- Auth0
- Stripe
- Paddle
- Sentry
- Playwright
How we work
What happens after you send the bug
We start from what you built, not from a blank repo. On our own product, 52% of commits after go-live were fixes, in four categories: data consistency, real devices, permissions and integrations. Every product we have rescued had the same four, so those are the places we check first in yours.
Well… didn't know what to expect but honestly, now I'm learning much from you guys. Had no idea an external tech partner can be so pro and organized.
How it works. Four steps from bug report to a stable app
Within one business day: share the bug
We reply and ask for the bug, the link and read access to the repo or an export. NDA first if you want one.
First review: find the likely cause
What is fragile underneath, what is fine and what we would fix first, with the likely cause of the failures you sent. Limited scope, typically within a few business days of getting access.
Paid pilot: approve the fixes
The fixes as a fixed-scope, fixed-price engagement, with acceptance tests you approve before we start, including the flows that must not break again.
Release: small steps with a rollback
We work on a staging copy, deploy in small steps and keep a way back for every release. You see every pull request and keep the tests and the documentation.
From a broken build to a live product
EdTech · AI
AI-powered medical tutoring for Elite Medical Prep
AI · FinTech
Taking over a crypto platform no one else could ship
Questions about fixing an app that already has users
- No. We work in your repository, your cloud and the tools your team already uses. If one of them gets in the way of the work, we tell you what and why, and you decide.
- With a 30-minute scoping call. We look at what you have and what you need, then propose a first step with its scope and price before any work starts.
- Usually. Most of what breaks under real users lives in the data layer and the queries, not in the screens. We keep the frontend and the logic that works and replace what is fragile underneath. You get the list first.
- Mostly, yes. The usual causes are repeated work (image transformations, unindexed queries, model calls in a loop) and the fix is engineering, not a bigger plan. We show you where the money goes before we change anything.
- Yes. A US consumer app built in Lovable on Supabase reached 30,000 users, with slow image loads, uploads that froze the app and a database bill growing every day. Most of the bill was image transformations repeated for every user. We stored optimized assets at upload, added indexes and cleaned 1.5 GB of records a bug had written. The Supabase bill fell by about three quarters and the founder kept editing the app in Lovable. Client under NDA.
- They should notice fewer bugs and faster pages. We work on a staging copy with real-shaped data, deploy in small steps and keep a rollback for every release.
- Not directly. We reproduce the bug on a staging copy, take a backup before any migration, and every change to production data has a written plan for going back. Access is the minimum the work needs and you can revoke it at any time.
- Usually, for the frontend. What moves to code is edited in code from then on, and we write down which is which before we start.
- If customers cannot use the app yet, start with taking it to production. This service is for an app that is live and breaking. Once it is stable, recurring tickets and updates belong in a maintenance stream.
- The first written review is free and limited in scope. The fixes are a paid engagement with a fixed scope and price agreed before we start.
- You can run it yourself with the tests and documentation we leave, hand it to your own team or keep us on as a maintenance stream.
How we think about this, in our own words
Interactive briefs and articles by our team, picked for this service
PirxeyOS: 20 days to build, 30 weeks to keep alive
The whole commit log of our own product: 46% of 587 commits were fixes, in data consistency, devices, permissions and integrations.
Read the briefShipping new things while drowning in tickets
How support tickets, regressions and testing take over a team's week once an app has users, and what a dedicated maintenance stream changes.
Read the briefFrom a Vibe-Coded Travel App to a Real Product
What we kept and what we replaced when a Lovable app with about 2,000 commits had to hold up in production.
Read the articleTell us what breaks
A link to the app or the repo, how many people use it, what breaks and how often, what it costs you and by when it has to be fixed. The first written review is free and limited in scope.
Direct contact
Mike KacprowiczBook a callChief Growth Officer