Meta's AI agent rewrote its own harness 100 times -- the loop that makes self-improving agents work

Harnesses aren't supposed to be static Most AI agent setups treat the harness -- the instructions, constraints, and tool configurations that govern agent behavior -- as a fixed artifact. You write AGENTS.md once, deploy it, and move on. But what if the agent could improve its own harness? I dismis