Comment by devin

I feel this way with some of the work I've pushed through an LLM, but part of the time I'm left wondering what kind of Mickey Mouse problems people are working on where they are able to form up tidy English descriptions in complicated domains to capture what they're trying to achieve.

If I have a clear idea of some algorithm I am trying to write, I have a concise method for expressing it already, and it ain't English.

I suppose the other thing I would say is that reading code and understanding is definitely not the same as writing code and understanding it in terms of depth of understanding, and I think this notion that reviewing the outputs ought to be enough fails to capture the depth of understanding that comes with actually crafting it. You may not think this matters, but I'm pretty sure it does.