i've got 4 AI read machines; the smallest will be 72GB; the largest 128GB; they're not wunderkind, but they're all running local models.

We're definitely entering a different set of skills and we're costing on our abilities to use these systems raw, and when we start using them via AI, we're losing that raw context.

But when the gains allow us to flesh out where we've never done so, how to say no?

I never spent time on either docs or tests, but since guiding the AI requires several slices through the same logic/architecture/bug footprints, my work flow has to include looking at and maintaining all three.

If I didn't, the AI would be much worse than me doing it myself. Which means at the very least, whoever comes afte rme will have the same hardware and models and maintain the same level of support.