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I used to do adversarial critique, but I found that "agents can't identify issues" was a surprisingly long way from a good implementation. I kept finding silly correctness issues and shortcuts taken whenever I expanded testing or dug deeply into the implementation.

Now, I'm back to rubber-ducking until I've built my own mental model over a few days of thinking.

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I'm not doing adversarial critiques of the code; I'm doing adversarial critiques of the designs and plans. If it's still outputting bad code when it comes to the implementation, I do an interrogation round to find out why it's choosing that way, then update the principles, standards, or linting tools to fix it.

The skill I wrote did both. Design would go through an adversarial round, then a signoff by me, then implementation, then critique rounds by agents prompted to specific types of issues. And even then, LLMs were still struggling to put together complicated bits of code.

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