We fix the problems AI-written code leaves behind

We review AI-generated code the way a senior engineer would, and catch the duplicated logic, dead ends and confident-looking mistakes before your users do.

AI assistants readily write SQL injection, leaked secrets, missing authorisation checks and outdated dependencies. We audit your application and close the gaps.

Code you can't test is code you can't safely change. We add automated unit, integration and end-to-end tests so every fix stays fixed.

What runs well for ten users can fall over at ten thousand. We find the bottlenecks and set your application up to grow without a rewrite.

Race conditions, deadlocks and jobs that run twice show up under real load, rarely in a demo. We track down the intermittent bugs AI tools cannot see.

Generated code tends to sprawl. We restructure it into clear, consistent code that your team, and your next AI prompt, can understand and change.

We step back from individual files and make sure the pieces fit: sensible boundaries, the right services and a structure that suits where your business is heading.

Missing indexes, N+1 queries and unbounded tables quietly slow everything down. We tune queries, schemas and connection pools so your database copes at peak load.

Stale caches, network timeouts and lost background jobs are where AI-written code most often breaks. We bring deep experience in caching, networking and message queues to make them reliable.