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jbeningertoday at 1:09 AM1 replyview on HN

As someone who spends way too much time searching for the best abstractions, absolutely this is still true.

I often have a long back and forth with codex to explore the problem space and settle on the best abstractions. Occasionally it will make a suggestion that helps me, but for the most part it's reviewing while I'm in the driver's seat.

Contrast this to simply giving it a function name and a vague description of what the function will do. I'll generally accept its output with a few refinements.

But for larger project structure and metaphors, it falls flat, and often lands on a solution that's going to be a maintenance nightmare or result in endless repetition across not-quite-the-same cases. I've never seen it happen upon an appropriate abstraction that can cleanly cut through the nonsense.


Replies

gridspytoday at 1:33 AM

That's my experience too. Its unfair to expect current AI to do this - since good abstractions are extremely task specific. Hard to train on that.

What's also annoying is that AI's approach is not consistent within a project, a different sort of complexity.