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Cathy Killick,Yorkshire，详情可参考新收录的资料
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I originally thought I would rely on 3rd-party build systems to assemble Cakelisp projects. I found that doing away with manual header files and using a Python-inspired module system instead made that unfeasible. Cakelisp now has a build system built in. This ended up having some huge advantages:，详情可参考新收录的资料
First, I’d present the LLM with a new feature (e.g. loops) or refactor (e.g. moving from a tree-walking interpreter to a bytecode VM). Then I’d have a conversation with it about how the change would work in the context of Cutlet, how other languages implemented it, design considerations, ideas we could steal from interesting/niche languages, etc. Just a casual back-and-forth, the same way you might talk to a co-worker.
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.