>Smaller languages like Zig, Haskell and Gleam don’t have the same quality when AI-generated (for now).

GPT 5.5 writes good haskell.

The most common languages in the training corpus will output the most reliably.

if AI is generating text for you, why type?

I stopped reading as soon as the claude C compiler was mentioned and it was claimed it can compile big projects. We all seem to exist on a different plane of reality

Cute interesting take but I feel like it misses the point. Specifically, this makes sense where performance is necessary. Many projects have been written in suboptimal languages because the writers didn't want to learn lower level languages.

Still, not ALL projects benefit from such an approach and there are times when yes python is the right tool. Not just due to readability of humans but the other qualities that make it really good for small, iterative apps.

My take has never changed. Knowledge is cheaper than ever, but wisdom is as rare as ever. This is a great example of misunderstanding the former for the latter

Because LLMs fuck it up near-constantly and I need to review it

… because model tool calls is non-standard, so Python as the only tool call available works wonders

(Joke but also not a joke)

Interesting question.

AI doesn't really write code for me, but I do use them to brainstorm/ask questions. Though, I do not use Python. I have never been a fan of the language. I still think Python is a perfectly serviceable language, but it would solve no (important) problems I have ever had better than any other language.

I can see why Python is appealing to many people, and I applaud Guido for all the work and oversight over the years, but Python lacks a lot of the things I like in a language.

Because I can understand and edit that code by hand if I need to.