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My argument is thus:
LLMs are decent at boilerplate. They’re good at rephrasing things so that they’re easier to understand. I had a student who struggled for months to wrap her head around how pointers work, two hours with GPT and the ability to ask clarifying questions and now she’s rockin’.
I like being able to plop in a chunk of Python and say, “type annotate this for me and none of your sarcasm this time!”
But if you’re using an LLM as a problem solver and not as an accelerator, you’re going to lack some of the deep understanding of what happens when your code runs.
I used to think that I wanted to distro hop. Turns out that what I wanted was a bare bones OS that gave me the freedom to rice in strange and unnatural ways.
After 25(!) years of battling X11, dependency hells, and the early days of desktop compositing, I finally realized that what I wanted was Arch, and a few window managers to play with. SwayWM, and now Hyprland.
Unless you have some niche needs (real-time audio encoding) or want to play with more esoteric experiments (Nix, OSTree, etc), distro hopping is overkill.
But most distros have homogenized to the point to where all you need is knowledge about systemd to go from one to the other.
Just pick your favorite, non-snap distro and hack on it.