I think inertia and determinism play roles here. If you invest months in learning an established programming language, it's not likely to change much during that time, nor in the months (and years) that follow. Your hard-earned knowledge is durable and easy to keep up to date.
In the AI coding and tooling space everything seems to be constantly changing: which models, what workflows, what tools are in favor are all in flux. My hesitancy to dive in and regularly include AI tooling in my own programming workflow is largely about that. I'd rather wait until the dust has settled some.
totally fair. I do think a lot of the learnings remain relevant (stuff I learned back in April is still roughly what I do now), and I am increasingly seeing people share the same learnings; tips & tricks that work and whatnot (i.e. I think we’re getting to the dust settling about now? maybe a few more months? definitely uneven distribution)
also FWIW I think healthy skepticism is great; but developers outright denying this technology will be useful going forward are in for a rude awakening IMO
