The developer left without a handover
You have code but are unsure who controls hosting, the database or the accounts the app depends on.
The developer left, the first build stalled or customers use an app nobody can safely change. AI has made the slow part of a takeover fast: agents read unfamiliar code, map what depends on what and write tests that pin down how the app behaves today. Our engineers check the findings and decide what changes. You get a written keep, fix or rebuild plan before implementation, then an agreed first milestone delivered in your repo.


You have code but are unsure who controls hosting, the database or the accounts the app depends on.
The app started in Lovable, Bolt or Replit. Changes now break working parts or you need a path out of the builder.
Repairs need to protect the data and workflows people already rely on.
You want a second opinion, with a reason for keeping or replacing each part.
What runs, which accounts you control and what is missing. The assessment records unknown dependencies and risks to keeping the product available.
AI agents read the whole codebase, trace how data moves between modules and services and draft characterization tests for the behavior your users rely on. Work that used to take weeks of reading now takes days. An engineer checks every finding before it goes into the plan.
The frontend your users already know, working business logic, your data and your accounts usually stay. Logic that lives only in a builder's prompts, code nobody can change safely and keys owned by someone who left usually go. Each part gets a verdict and a reason.
A defined slice of recovery work with acceptance criteria, a schedule and a price you approve before work starts. Urgent continuity issues are separated from improvements that can wait.
Approved repairs and tests in your repo, with updated operating instructions. You can continue with us or transfer the product to your own team.
Establish control before expanding scope
We work from what exists and make missing access visible before planning the repairs. AI shortens the reading, the mapping and the test writing. Engineers still decide, review and own every change. A limited review comes first, followed by an agreed implementation milestone. The live product and its users determine the rollout and recovery plan.

They thought like product owners, not contractors.

We reply and ask for the repo or the export, who built it and which accounts you control: repository, hosting, database, domain and the services the app depends on. NDA first if you want one.

AI agents read the code, map how modules, services and data depend on each other and draft tests for the behavior people rely on. Our engineers check that work and write the verdict: keep, fix or rebuild for each part, plus the risks to fix before anyone touches it. Limited scope, typically within a few business days of getting access.

A fixed scope and a fixed price for the first milestone, with acceptance tests you approve before we start.

We agree the transition plan with you, then replace what is underneath in small releases with a rollback. The tests from the review run on every change: agents draft refactors and fixes, an engineer reviews and merges them. Documentation goes in with every change, so your team or another vendor can take it from there.
How
AI does the heavy lifting. Experienced engineers own the decisions.
AI traces the code and maps its rules, dependencies and edge cases. We review that map with your team, including behavior that never made it into the documentation.

We capture current behavior in tests before making changes. We run them against the modernized application. Every rule and every edge case must still hold.

Our engineers choose what changes and review what AI produces. Your team confirms the business rules. AI helps with analysis, refactoring and repairs under that direction.

Frontend that users already know
Working business logic and validated product decisions
Your data
Your accounts: domain, hosting, payments, email

Logic that lives only in a builder's prompts
Stored procedures that nobody can run twice
Code without tests that nobody can change safely
Accounts and keys owned by someone who left



A Lovable app with about 2,000 commits and lots of technical debt, taken to production in three weeks: what we kept and what we replaced.
Read the articleWhy the speed someone reached building alone with AI does not carry over to a growing codebase, from a model of 53 production projects.
Read the briefWhy an app that looks finished can still be missing most of the work: edge cases, permissions and failure paths.
Read the briefTell us what exists, where delivery stopped and which accounts you control. Bring the deadline and the product your users rely on today.
Mike KacprowiczBook a callChief Growth Officer