In other words I want to spend 100% of my mental capacity in the problem domain for the things AI cannot do for me, like steering, grounding, verification and not for things AI could do.
Nothing ironic about it, it's basic engineering efficiency optimization.
Just today I was calculating that if money was not a factor at all, we could simply use Mythos to handle all of our continuous security scanning needs, at a cost of about $15 million a year.
Well, my budget is far (far, far, far, far) below 15M a year, so that's not going to work. So I must find compromises to make it work within budget. The single most important engineering constraint is always budget. Everything would be easier with infinite money, but there is never infinite money.
It sounds like the parent is less talking about this, and more people burning tokens while not getting useful work done.