alt Hacker NewsThere are low-insensity regimes where it's all Python or whatever, and if you're in one, great.
When you're dealing with multiple platforms, or hardware accelerators, or mostly all of economically relevant shit in the AI era you don't get a small, clean, fast build.
Fable can't print a Tauri faux-native app without dragging in half of LLVM.
For greenfield work, we are using mostly Rust, although small utilities built with Go or Python are also acceptable provided they have a comprehensive set of unit tests, an integration test suite, well-defined specifications and acceptance criteria, and thorough documentation. Once you have that, it's much easier for the AI to work on it. (Our main motivation for doing this is that it takes far fewer tokens now to get stuff done since we have all that, to the point I can leave Qwen 3.6 running in 24/7 loops accomplishing things.)
If your build is bloated and slow, it would seem prudent to go and fix that, possibly converting a codebase from some other language or build system to something that can be built and tested very quickly. Slow builds and slow unit tests are a choice.