Great point on focusing on high-impact tests. I agree that LLMs risk giving a false sense of coverage. Maybe a smart strategy is generating boilerplate tests while we focus on custom edge cases.
Keeping a human in the loop is essential, in my experience. The AI does the heavy lifting, but we make sure the tests are genuinely useful. That balance helps avoid the trap of churning out “dumb” tests that might look impressive but don’t add real value.