hubertdinsk, can't reply directly... but yes lots of niche things, especially in the embedded side, automatic test side. We have a lot of hardware, we control a lot of things, sense a lot of things. There's nothing inherently complicated about it such that AI can't code, in fact you feed AI technical data sheets its insanely useful when writing code against that hardware. It's going to pick up on all the weird nuances. It's great for protocols, especially proprietary ones. Anything with spec sheets are good.
there's no magic anywhere. At the end of the day the result is 0 and 1 onto memory.
The approach to get there is the differentiate factor. If you are to tell a probabilistic tool to be 99.9999999% correct it would just be silly.