AI Can Generate Unit Tests. But Who Reviews Them?

With AI now capable of generating unit tests in mere seconds, the focus shifts to the quality and utility of these automated tests. While code coverage and pass rates are traditional metrics, they often fail to ensure the tests' true effectiveness. Reports highlight instances where AI-generated tests duplicate existing coverage or rely on unpredictable factors like system time, leading to little added assurance. This raises critical questions about the future of code quality and the need for human oversight to ensure these automated tests genuinely enhance software reliability.