While I agree with a lot of what this post says, to play devil's advocate for a moment, It's natural that skills we no longer need should be phased out. We should take this as an opportunity to figure out what new skills we need now.

If you're working on a personal project or trying to learn something new, by all means write the code yourself. That's still the best way to do it. But your life should not necessarily revolve around work, and sometimes there is nothing wrong wih caring more about the end product than the process.

The problem is this is the difference between one or two obscure skills fading away with disuse (normal); and potentially all ability to load programming information into your working memory being affected; as you didn't develop the neural pathways or knowledge of the codebase (not normal or desirable)

While it is a spectrum around when you choose to use AI, what seems increasingly common in my experience is some people trying to go "all in", feel frustration and burnout when they are relegated to babysitting an LLM; get angry that it has made a mistake, misinterpretation or simply left something obvious out; then thinking it's user error/they didn't prompt well enough/it is their fault. At the same time, they are increasingly cognitively blind to mistakes at a review stage, so they find out the hard way in production and enter into a cycle of hyper vigilance/distrust/justifiable paranoia.

In those cases, it's a recipe for skills loss and depression over the long term and a vicious cycle.