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Comment by dataplumb3r

10 hours ago

My only experience in >24h agents is with economically sane models (one of GLM5.2, 5.3-flash for orchestration, DSV4-flash for implementation, and glm5.3|sol|kimi3 agents + subagents reviewing at the end)

Over 24h my token spend is <30$. Excluding tokens for review it's <10$. With the absurdly gigantic subscription subsidies and a reasonable workflow I suspect one could run parallel agents.

I'm not sure what the point would be though unless working on some kind of optimization problem -- it takes me days to review <24h of the agent's output. It's almost always near enough to correct to be shippable; though I do give it feedback and iterate until it's better than the code I would have written.

This sounds like more work than just writing the code yourself. You'll say it isn't. I don't believe you.