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luckyliontoday at 1:41 PM1 replyview on HN

I found that agents help, even if you don't parallelize. Having one agent control another and verify its results against rules you set has worked well for me because the controlling agent has no incentive to cut corners, and the implementor might, but it is being controlled.

My usage might be much simpler than what you do, but it went from "but I gave a list of things to do, you only did 5 of them" - "okay, here are the other 7, oh btw, I skipped the verification rule because nobody has time for that" to good compliance, the orchestrator starts the sub agents, tells them exactly one thing to do, and makes sure they've done it afterwards.

makes sense on planning as well, I think. spend your tokens on the best model to explore the problem and design the solution, but the implementation and testing/verification cycles don't need the strongest model you can get.


Replies

fluidcrufttoday at 4:03 PM

I only get anything useful when I force extremely strict standards and opinions so that it is impossible to deviate from what I want. That only really works in some languages and some programming styles. Whenever I try to do something less constrained there is some sort of patina of stupid that can't be polished away mechanically.