I work in an environment where people seek opportunities for using AI such as GitHub Copilot to perform daily development tasks.
While there is a general agreement that such tools can accelerate the development process, there is still some uncertainty about how they achieve this. Some possible explanations include quick refactoring options, automatic unit test generation, CI/CD YAML file generation, and assistance with integration testing. The last point refers to UI testing or end-to-end testing, while the second point narrows the focus to unit testing specifically. Although AI can help with most of these points, unit testing seems like an anti-pattern when looking into the details.
My Unit Testing process
Writing unit tests is a well-understood and daily practiced process. In fact, I have seen multiple projects accumulating tens of thousands of tests over their lifetime and developers create unit tests daily. There are numerous generic posts detailing the testing best practices or focusing on special aspects such as Performance testing within Unit tests bad idea.