alt Hacker News> But now that most code is written by LLMs, it's as "hard" for the LLM to write Python as it is to write Rust/Go
The LLM still benefits from the abstraction provided by Python (fewer tokens and less cognitive load). I could see a pipeline working where one model writes in Python or so, then another model is tasked to compile it into a more performant language
Replies
bko • today at 12:01 AM
I think that's not as beneficial as having proper type errors and feeding that into itself as it writes
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JumpCrisscross • yesterday at 11:46 PM
NP (as in P = NP) is also much lower for Python than Rust on the human side.
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It's very good (in our experience, YMMV of course) when/llm write prototype with python and then port automatically 1-1 to Rust for perf. We write prototypes in JS and Python and then it gets auto ported to Rust and we have been doing this for about 1 year for all our projects where it makes sense; in the past months it has been incredibly good with claude code; it is absolutely automatic; we run it in a loop until all (many handwritten in the original language) tests succeed.