Researchers introduce Self-Harness, a framework that lets AI agents rewrite their own rules, boosting performance up to 60%

Researchers at Shanghai Artificial Intelligence Laboratory introduced Self-Harness, enabling LLM-based agents to systematically improve their own operating rules through execution traces. The system identifies model-specific failure patterns and generates targeted modifications, with performance improvements ranging from 33 to 60 percent across different models.