Researchers introduce Self-Harness, a framework that lets AI agents rewrite their own rules, boosting performance up to 60%
THE SO WHAT
Letting agents rewrite their own harness rules for up to 60% performance gains is a big step toward self-optimizing workflows—and a new governance problem. If you’re experimenting with agentic systems, separate the layer that can self-modify from the layer that enforces hard constraints, and log every rule change like a code deploy.
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