how can an ai tool like testsprite improve software testing efficiency?

testsprite automates the entire testing process, from generating test plans to diagnosing issues and suggesting fixes. do you think relying on ai for testing can significantly reduce human effort and errors, or are there risks in depending too much on automation? how can developers balance ai-driven testing with manual testing to ensure high-quality software?

leilany