Why Code Is the Core of Agent Harness: Deep Insights from UIUC, Meta, and Stanford
The article explains how code serves as the executable, inspectable, and stateful medium that links reasoning, action, feedback, verification, and collaboration in long‑term AI agents, detailing the harness interface, planning‑execute‑verify loop, multi‑agent coordination, and open research challenges.
