Pitfalls of premature closure with LLM assisted coding

I think this is correct, and I also think it holds for reviewing human-authored code: it's hard to do the job well without first having your own idea in your head of what the correct solution looks like [even if that idea is itself flawed].

I put the examples he gave into Claude 4(Sonnet) purely asking to eval the code, it pointed out every single issue about the code snippets (N+1 Query, race condition, memory leak). The article doesn;t mention which model was used, or how exactly it was used, or in which environment/IDE it was used.

The rest of the advice in there is sound, but without more specifics I don't know how actionable the section "The spectrum of AI-appropriate tasks" really is.

I initially thought that layout of the sections was an odd and terrible poem.

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