大语言模型优化代码时，Python和Rust哪个性能更好？（附实测对比）
BLUF
This article explores the effectiveness of using Large Language Models (LLMs) for code optimization through a practical example of finding numbers with specific digit sums. It compares Python and Rust implementations, revealing both the potential and limitations of LLM-assisted optimization, including missed human insights like algorithmic improvements.
原文翻译：
本文通过一个寻找特定数字和的实践案例，探讨了使用大语言模型（LLM）优化代码性能的有效性。对比了Python和Rust实现，揭示了LLM辅助优化的潜力和局限性，包括算法改进等人类洞察的缺失。AI大模型2026/4/9
