The best part is that AI-driven systems are fine with running even more tight loops than what a sane human would tolerate.
Eg. running full linting, testing and E2E/simulation suite after any minor change. Or generating 4 versions of PR for the same task so that the human could just pick the best one.
Say you're Human A, working on a feature. Running the full testing suite takes 2 hours from start to finish. Every change you do to existing code needs to be confirmed to not break existing stuff with the full testing suite, so some changes it takes 2 hours before you have 100% understanding that it doesn't break other things. How quickly do you lose interest, and at what point do you give up to either improve the testing suite, or just skip that feature/implement it some other way?
Now say you're Robot A working on the same task. The robot doesn't care if each change takes 2 hours to appear on their screen, the context is exactly the same, and they're still "a helpful assistant" 48 hours later when they still try to get the feature put together without breaking anything.
If you're feeling brave, you start Robot B and C at the same time.
No one really cares about improving test times. Everyone either suffers in private or gets convinced it's all normal and look at you weird when you suggest something needs to be done.