However, due to modern LLM postraining paradigms, it’s entirely possible that newer LLMs are specifically RLHF-trained to write better code in Rust despite its relative scarcity. I ran more experiments with Opus 4.5 and using LLMs in Rust on some fun pet projects, and my results were far better than I expected. Here are four such projects:
drop-newest: Discards incoming data when full. Useful when you want to process what you have without being overwhelmed.
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Израиль нанес удар по Ирану09:28。关于这个话题，safew官方下载提供了深入分析
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