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So we already have this problem and things are "fine"?
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In my personal experience, the rate at which Claude Code produces suboptimal Rust is way higher than 1%.
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That is dependent upon the quality of the AI. The argument is not about the quality of the components but the method used.

It's trivial to say using an inadequate tool will have an inadequate result.

It's only an interesting claim to make if you are saying that there is no obtainable quality of the tool that can produce an adequate result (In this argument, the adequate result in question is a developer with an understanding of what they produce)

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> LLMs will get _so_ good that I don't feel the need to do this, in the same way that I don't think about the transistors my code is ultimately running on.

The problem is, they're nothing like transistors, and never will be. Those are simple. Work or don't, consistently, in an obvious, or easily testable, way.

LLM are more akin to biological things. Complex. Not well understood. Unpredictable behavior. To be safely useful, they need something like a lion tamer, except every individual LLM is its own unique species.

I like working on computers because it minimizes the amount of biological-like things I have to work with.

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I suppose transistors is a bad example.

Perhaps a better analogy would be the Linux kernel. It's built by biological humans, and fallible ones at that. And yet, I don't feel the need to learn the intricacies of kernel internals, because it's reliable enough that it's essentially never the kernel's fault when my code doesn't work.

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