Does this sound familiar?
Code piles up faster than anyone can read it
AI assistants can generate thousands of lines in an afternoon. Reviewing them properly takes much longer, so a lot of code ends up in your app that nobody on the team fully understands.
Every fix breaks something else
Generated code tends to duplicate logic and skip tests. Small changes ripple through the app in unexpected ways, and every release starts to feel risky.
Nobody knows how it fits together
Features were stitched together one prompt at a time, without a shared architecture. Onboarding new developers is slow and estimates keep slipping.
How we work
We start with a short audit. We read the code, run the app and talk to your team, then show you where the real risks are and what can safely wait.
From there we clean up step by step, without putting feature work on hold. We add tests around the critical flows, refactor duplicated code, and bring the architecture back to something your team can reason about.
We will also help you set up AI handling practices in order to prevent that mess from happening again. We usually do this by applying a combination of smart prompting, extensive testing, proper code reviews, and enforcing a set of coding standards - all in order to let your team retain control over the codebase without sacrificing the development speed that AI tools can provide.