Given the issues with AWS with Kiro and Github, We already have just a few high-profile examples of what happens when AI is used at scale and even when you let it generate tests which is something you should absolutely not do.
Don't "let it" generate tests. Be intentional. Define them in a way that's slightly oblique to how the production code approaches the problem, so the seams don't match. Heck, that's why it's good to write them before even thinking about the prod side.
