Fixed-scope sprints · fixed-scope
Vibecoding cleanup
Your AI-built prototype is live and carrying real users. We make it production-ready before it carries them into a data loss.
What you get
- Codebase audit: structural flaws, query latency, security gaps, memory profiles
- Database normalization and index tuning
- API boundaries, rate limiting, and authentication hardening
- A core test suite so regressions stop sneaking back in
- A written roadmap for everything we don't fix within the engagement
How it works
- 1We profile the running system and map its bottlenecks.
- 2We harden the foundation first: schema, auth, and the critical paths.
- 3We add tests around the fixes so they hold.
- 4You get the refactoring roadmap and a system that survives load.
Who it's for
Startups whose AI-generated MVP is crashing under growth. Solo founders who shipped fast and now can't keep the infrastructure up. Teams preparing for launch or a funding round.
Questions
Do you rewrite the whole app?
No. We fix teh foundation -- schema, security, API boundaries, tests -- and leave the product logic intact. Most of your code survives; it just stops being the fragile part.
How is this different from a code review?
A review produces a report. This engagement produces fixes: deployed changes, migrations run, tests passing.
Can you work with an AI-generated codebase?
Yes. We don't judge how the code was writter; we make it hold up in production.