»We ship too many bugs and AI is making it worse.«
Can you relate? Modern development moves fast, making it hard for humans to keep track of code changes. Meanwhile, AI introduces an additional layer of chaos: it is nondeterministic, touches files all over the codebase, and frequently suffers from context rot.
At the core of the problem: both humans and AI often have no way of knowing which critical changes remain untested.
That’s where Test Gap Analysis comes in. By analyzing your codebase and test execution data, Test Gap Analysis brings transparency to your workflow, deterministically surfacing untested changes to humans and AI coding agents alike, before they hit production.
Curious?
Register now to our live online workshop.