Canary: The first AI QA engineer that understands your codebase

The first AI QA engineer that understands your codebase

AI coding tools have made developers 100x faster but customer-facing incidents are up 43% YoY, QA hasn't kept up. Canary is the first AI QA engineer that understands your codebase. Instead of relying on flaky DOM scraping or screenshot analysis, Canary reads your source code directly to understand developer intent and catch broken user flows before they hit production. Engineering teams go from weeks of manual testing to 90%+ coverage in days. Built by a team that built coding agents at Windsurf, Cognition and Google.

Active Founders

Viswesh N G

Founder

Co-founding Canary with a team of ex-Windsurf, Cognition and Google engineers. Canary is the first AI QA engineer that understands your codebase. AI coding tools have made developers 100x faster, but QA hasn't kept up. Unlike tools that rely on flaky DOM scraping, screenshot analysis or vision based models, Canary reads your source code directly to understand developer intent and catch what others miss. We help engineering teams go from weeks of manual testing to 90%+ test coverage in days.

Viswesh N G

Founder

Co-founding Canary with a team of ex-Windsurf, Cognition and Google engineers. Canary is the first AI QA engineer that understands your codebase. AI coding tools have made developers 100x faster, but QA hasn't kept up. Unlike tools that rely on flaky DOM scraping, screenshot analysis or vision based models, Canary reads your source code directly to understand developer intent and catch what others miss. We help engineering teams go from weeks of manual testing to 90%+ test coverage in days.

Hear from the founders

How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)

We built AI coding agents at Windsurf and Google, tools that made developers 100x faster. But we kept seeing the same problem: teams were shipping code faster than ever, and things were breaking in production. Critical auth bugs affecting Fortune 10’s, region-wide outages, broken user flows, payroll systems going down. The QA process hadn't evolved at all. We realized someone needed to build the validation layer for AI-generated code, and we were uniquely positioned to do it. We understood exactly how these coding agents work because we built them.

What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?

Customer-facing incidents are up 43% YoY. AI coding tools have supercharged development speed, but QA is still stuck in the manual testing era. Engineering teams are either spending weeks writing and maintaining test suites, or shipping and praying with 0% test coverage. Existing testing tools rely on brittle DOM scraping or screenshot analysis that breaks constantly. Canary solves this by reading source code directly, the same codebase developers write, to understand intent and automatically validate every critical user flow