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An LLM prompted to “implement SQLite in Rust” will generate code that looks like an implementation of SQLite in Rust. It will have the right module structure and function names. But it can not magically generate the performance invariants that exist because someone profiled a real workload and found the bottleneck. The Mercury benchmark (NeurIPS 2024) confirmed this empirically: leading code LLMs achieve ~65% on correctness but under 50% when efficiency is also required.，这一点在新收录的资料中也有详细论述
，这一点在新收录的资料中也有详细论述
Rust+Wasm is powerful—but unforgiving if you pretend the boundary isn’t there. Be explicit, name things clearly, pass by reference, and duck typing around any (unreasonable) limitations bindgen places on you.。新收录的资料是该领域的重要参考
It’s not going to win any points for beauty, but it works.
Раскрыты подробности похищения ребенка в Смоленске09:27