It works in the preview and fails when you deploy
A blank page on the published URL, missing environment variables, a build that passes on your machine and fails on Vercel or Railway.
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AI-native development · AI-built app to production
Take your AI-built app to production
You built it with Lovable, Bolt, Replit, v0, Cursor or Claude Code. The screens work, but permissions, payments or deployment still depend on you being there. Before customers pay, the app needs your domain, logins that work on that domain, a production database with backups and a deploy that does not depend on one laptop. A free, limited written review tells you what is safe to keep and what has to change. Then our engineers do the agreed work in your repo and your accounts.
- ~3 weeksA Lovable app to production, in one case
- FreeWritten first review, limited in scope
- Your repoCode and accounts in your name from day one
This is for you if your app already works, mostly
Real users, real data and real money are coming
Investors, a pilot customer or first paying users are waiting. Payments, customer data or a team on the same app change what the code has to survive.
The builder is now the problem
The project is too big to edit in Lovable, Bolt or Replit, every prompt costs credits and breaks something, and nobody knows which version is live.
Someone told you to rewrite everything
You want a second opinion on what is actually fragile and what can stay, in writing, before paying customers touch it.
What you get. A production setup you own
A free written review
What will break first, what is fine and where we would start, for your app. Limited in scope and not a full security audit; typically within a few business days of getting access.
A keep, fix or replace list
The app your users know, your data, your accounts and often your builder stay. Secrets in client code, one environment for everything and deploys by hand from one laptop usually go. You get the list before you pay anything.
Production in your accounts
Your domain and HTTPS, separate test and live keys, staging and production, CI that builds and tests every change, a database backup before the first real customer and a way to roll back a release. Acceptance tests cover failures as well as the successful path.
A handover you can run with
Code in your GitHub and hosting in your name from day one, with documentation of what changed and a list of what is left. Run it yourself, hand it to your team or keep us on a small retainer.
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
Your accounts: domain, hosting, payments, email
What usually goes
Stored procedures that nobody can run twice
Logic duplicated across tables
Secrets in client code
Code that cannot be tested as it is
Tech stack. What AI builders ship and what production adds
We work with apps built in Lovable, Bolt, Replit and v0, or developed with Cursor and Claude Code. We review the framework, database, hosting, authentication and payments together. We keep what holds up and add the API layer, CI, error tracking and backups production needs.
Tech stack
- Lovable
- Bolt
- Replit
- v0
- Cursor
- Claude Code
- React
- Next.js
- TypeScript
- Node.js
- Fastify
- Supabase
- PostgreSQL
- Firebase
- Vercel
- Railway
- AWS
- Supabase Auth
- Clerk
- Auth0
- Stripe
- Paddle
- GitHub Actions
- Sentry
How we work
Approve a bounded release before funding the build
We start from what you built, not from a blank repo. Lovable apps usually run on Supabase, React, TypeScript and Edge Functions, and we know where they bend first: migrations, row-level security and logic that grew inside stored procedures. In one case we kept the frontend, added an API layer between React and Supabase and had the app in production in about three weeks, with one developer and a QA specialist.
When you propose something to them, they don't simply say yes - they come back with a pro and con. You're not getting a classic developer who simply does and then you have to fix the thinking yourself. If I had another AI idea and wanted to pursue it, I would just use Pirxey.
How it works. Four steps from link to live
Within one business day: agree access
A reply, not the review yet: we ask for read access to the repo (or an export) and a test account, sign an NDA first if you want one and agree what the free review covers.
First review: receive a written plan
What will break first, what is fine and where we would start. Limited scope, not a full security audit; typically within a few business days of getting access.
Paid pilot: approve scope and price
The launch work as a fixed-scope, fixed-price engagement. Before we start, you approve the scope, the price, the acceptance tests and what is left out.
Release: check the result together
We build in your repo and you see every pull request. We verify the agreed behavior with you, prepare deployment and rollback, and hand over the documentation, your code, your infrastructure and your accounts.
Two takeovers we took to production
PropTech · Platform
Rescuing a construction management platform after a failed first build
AI · FinTech
Taking over a crypto platform no one else could ship
Questions before you send the link
- 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.
- Often, yes, as the first step. We tell you in the review whether the current backend can go live as it is or whether something underneath has to change first, and what each path means after launch.
- Not having a repo is fine. Where the builder allows an export, we move the code and the database into your GitHub; if the app only runs inside the builder, the review says what it takes to run it outside. Keeping the frontend editable in your builder is usually possible; what moves to code is edited in code from then on, and we write down which is which before we start.
- Only where the review gives a reason. We keep what works, usually the frontend and your data, and replace what is fragile underneath. With a Lovable travel app of about 2,000 commits we kept the frontend and put an API layer between React and Supabase. You get the list before we start.
- The code lives in your GitHub organization and your cloud accounts from the first commit, and the rights to it transfer to you with each paid milestone. We sign an NDA before we get access if you want one.
- The first written review is free and limited in scope. A pilot has a fixed scope and a fixed price agreed before we start.
- We propose a schedule after inspecting the app and agreeing the release. The Lovable travel app reached production in about three weeks, with one developer and a QA specialist; that is one project, not a delivery promise for your app.
- A full redesign, unrelated features, certification and ongoing support are included only if the written scope includes them. Hosting, model usage and third-party subscriptions get their own cost estimate.
- We prepare the app and the backend for review and fix what the stores reject, but review timelines are theirs, not ours, and we do not sell store approval as a service.
- Then discovery or prototyping comes first. This service fits when the app works and someone on your side can confirm expected behavior, give us access and decide what can wait.
- The hosting and accounts are yours from day one; we set them up and configure them in your name. After launch you can run it yourself with the documentation we leave, keep us on a small retainer, or hand it to your own team.
How we think about this, in our own words
Interactive briefs and articles by our team, picked for this service
From a Vibe-Coded Travel App to a Real Product
How we took a working Lovable app with about 2,000 commits to production in three weeks, with one developer and a QA specialist.
Read the articleThe new Pareto: 95/5
Why your AI-built app shows 95% of the product for 5% of the effort, and what the remaining part costs: edge cases, permissions, failures.
Read the briefAgentic Development vs. Vibe Coding
Where vibe coding is enough and where real users, data and money call for agentic development with review.
Read the articleTell us where it is stuck
Paste a link to the app or the repo, or describe it: the tool you used, who will use it, what happens when you try to deploy and your launch date. The first written review is free and limited in scope; implementation is quoted separately.
Direct contact
Mike KacprowiczBook a callChief Growth Officer