Why not use AI to speed up the Python runtime?
V8 showed what focused engineering can do for JavaScript, and Astral showed how much room there is to improve Python tooling. The same tricks may not apply directly, but AI could definitely accelerate the work.
Volcanic winters are far more frequent than catastrophic asteroid blasts. Disregarding a volcanic winter possibility and its impact is like disregarding the possibility of a pandemic.
Nice! Now moving from Windows to Linux is the "easy", visible part. Replacing US cloud + US AI dependence end to end is much harder, and that’s the real deal today.
Wouldn't that imply that design is solved (at least regarding visual elements discussed here)? Then why not move onto other things? Why self-sabotage their success?
Use them for what they are (hints, documentation). Use it for gradual typing when implementation makes it hard to understand return or parameters types. But don't enforce it across your code base, use another language or another mindset instead.
Of course you can alias, but I was not very clear indeed. My point is that these tools ship multiple commands (z, zi, etc. autojump does too). I treat core shell commands as interfaces: keep the name, swap the implementation. If there's just one command, you can of course alias it (but why should I do this final step); if there are many, it turns into clutter. These tools should enhance existing commands instead of reinventing them: the goal is the same result, just faster and better. The philosophy is non-intrusive augmentation, like bash_completion or fzf.
Those kind of tools should have the same name as the command they replace, I don’t want to change my workflow with this or that. I think a simple wrapper over cd with fzf is good enough and much simpler. Claude can probably write it in a few minutes.