Tooling

You’re paying anywhere from $20 to $200 a month for access to LLMs. Claude, GPT, Gemini, whatever. And most of the calls you’re making from your scripts and dev tools boil down to something like this: “Classify this bug into one of these five categories” “Name this variable for me” “Tell me if this commit is a fix, feat, or refactor” “Summarize this block of text in two sentences” Meanwhile, your Apple Silicon Mac has a 3-billion-parameter language model baked right in, integrated with the operating system. No cost, no internet needed, no API key, no network latency. And you’re probably not using it at all. ...

TL;DR: Python tooling has been a fragmented, slow mess for years. The revolution didn’t come from within the ecosystem: it came from Rust. uv, Ruff and ty — all written in Rust by Astral — have replaced half a dozen tools and are between 10x and 100x faster. Looks like the Cult of Ferris had a point after all. Have you ever tried to explain to someone how to install dependencies in Python? ...