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I've seen the same thing. I tried the "superpowers" meta-harness and gave it a simple web app task and it spent 4 hours to make a basic timer app. I might try restricting the amount of thinking it is allowed to do to 500-1000 tokens.
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There is a native reasoning effort setting. It defaults to xhigh, I guess to get the best benchmark results, but you can just run it on medium or low instead, or for simple things even disable thinking outright.
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According to this guy [0], medium is the level that tends to produce way less tokens in agentic workflows ("low" may output less per response, but then the model makes more mistakes, so it needs to iterate more).

[0] https://m.youtube.com/watch?v=z64J6bC16iQ

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