AI can generate unit tests in seconds. But how do you know whether those tests are actually...
AI can generate unit tests in seconds. But how do you know whether those tests are actually useful?
Most teams still rely on code coverage and pass rates to evaluate their test suites. The problem is that a test can pass, increase coverage, and still provide little or no additional confidence.
We've been seeing examples where AI-generated tests:
Duplicate existing coverage
Depend on system time or GUID generation
AI is great at writing tests fast, and good at writing tests that look real but verify the wrong...
You have a function, you need tests, and you're staring at a blank file. AI can generate a solid...
Hello Devs 👋 AI coding assistants have changed the way many teams build software. Tasks like...
An AI-generated test that passes proves nothing until it can go red. Mutation testing exposes the phantom tests, with a Go…
You just merged an AI-assisted feature branch, the code review looks clean, and the app works in your...
To audit AI-generated tests, score how many mirror the code instead of checking it. Green CI proves...
