Built by an engineer who doesn't trust a green build.
Trenyx plants realistic bugs in your code, one at a time, and checks whether your tests catch them. It's a small, founder-led company in Ottawa, Canada.
The founder
Saurabh Bhatt (SK) has been shipping software since 2013, much of it in products that move money. He was an early developer at Nutmeg, the UK digital wealth manager later acquired by JPMorgan (now J.P. Morgan Personal Investing), then worked as a senior engineer and technical product owner at growing companies. LinkedIn
From 2020 he traded his own money with systematic strategies, and spent a few months trying to prove his own trading strategy was fake. That habit, trying hard to break a result before trusting it, is what Trenyx does to test suites.
He built Trenyx with AI agents working spec-first and test-first, and ran it on his own code before anyone else's.
What Trenyx does
Every month we plant realistic bugs in a private copy of your code, one at a time, and run your own tests against each. You get a score, every bug that slipped through, and the test that would have caught it. See a sample report.
The bugs come from a catalogue that started with more than a hundred blind code reviews of open-source, AI-built software, each reported privately to its maintainers first, and has grown with every run since. The advisories maintainers have published. The tests maintainers have merged. What 1,004 codebases showed.
How it is run
AI models write each month's bug list and the report. The score itself is a measurement, not an opinion: a test failed with the bug planted, or it did not, and every catch is re-run to prove it. SK answers for every report that goes out.