Compositional generalization explains why LLM + harness works so well for coding agents
zsakib_ · x · 2026-10-10
The author explains how a discussion with Alex reshaped his view of frontier coding-specialist models handling multi-agent, long-running tasks.
Key point: compositional generalization and "sub-tasks being locally in-distribution" make it obvious why LLM + harness setups excel — decompose big tasks into locally in-distribution subtasks and let the harness stitch them together; tweaking the harness can yield outsized gains.
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