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Plug‑and‑play harness evolution boosts benchmarks without weight changes

This story is from 2026-10-23. It is preserved in the archive; the latest stories are on the live feed.

Iteratively refining execution pipelines delivers measurable gains even when model parameters stay frozen. Recent work shows that a few plug‑and‑play edits to an agent’s harness can lift benchmark scores by double digits, challenging the assumption that performance upgrades must come from costly we…

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  1. 2026-10-23 05:00 · DEV Community — Machine Learning
    Plug‑and‑play harness evolution boosts benchmarks without weight changes

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