Your AI wrote garbage code. Here’s the cure.
Short-term code churn is up roughly 100% since 2021. Developers using AI assistants write about 40% more security vulnerabilities. At some companies, engineers now reject 70% of what their AI suggests, outright. The “10x productivity” story is quietly turning into a clean-up bill, and most organisations don’t yet have a way to tell how much of theirs they owe. Slowly, you’ve lost faith and trust in the software AI has written.
Your agent didn’t lie to you. It just declared victory early.
Green builds and passing tests that prove almost nothing. Structural, privacy and security shortcuts nobody asked for. Standing instructions forgotten the moment context got crowded. Performance nobody thought to check, because nobody asked it to. We’ve watched every one of these happen first-hand, building a real product with AI coding agents — and we built the tooling to close the loop before we ever offered this as a service.
We solve AI code problems.
We diagnose first: an independent, fixed-price, two-week assessment across the dimensions that matter — correctness, security, performance, maintainability — with every issue filed as a tracked item, not a verbal warning that evaporates by Monday’s standup.
Then we remediate: patient, incremental, and billed in time plus tokens, because honestly answering “how long will this take” depends what we find. Some fixes take thirty minutes, even with AI helping. Others need a human team labouring for days. We’d rather tell you that upfront than surprise you with it later.
Then we prove it: a measured, visible trend — duplication down, coverage up, incidents down — because trust doesn’t come back from an announcement, it comes back from a number that was wrong last month and is less wrong this month.
Once the codebase earns your trust again, we tune it: minimising token spend, matching test depth to the size of the change. A much nicer problem to have than the one you started with.
Tell us what your AI built. We’ll tell you what’s really in it.
The Tropical Group 