What strikes me is that AI can also be the best teacher in the world: your Makefile is not working, you ask the LLM what's wrong, you learn something new about the syntax, you ask for more details, you learn more, you ask about other Makefile syntax gotchas, etc. This is the most efficient deliberate practice possible: you can learn in minutes what would take hours of Googling, tinkering and scouring docs. You have a dedicated teacher you can ask your silliest questions to and have the insight you need "click" way faster.

The problem is: (almost) nobody does that. You'll just ask Claude Code to fix the build, go grab a coffee and come back with everything working.

You're not learning, though. So much of learning is going down the wrong path, realizing it's wrong, and retaining what you learned from that wrong path and realizing its applicability in the future. Being able to immediately find the correct answer doesn't teach you anything, it allows you to memorize the correct answer for this situation. It expands the depth of your knowledge graph (assuming you remember the answer) but you don't expand the breadth.

> you ask the LLM what's wrong, you learn something new about the syntax

So if you have no LLM to ask, can you figure out on your own what is wrong? Just by reading documentation?

That's also an important skill to have.

I dont think that would teach you much. Theres a reason that math textbooks for high schoolers have one theorem, and then a whole chapter of practice problems. Simply reading how to do something doesn't teach you how to do it, you have to experience it again and again.