HARNESS ENGINEERING FOR SELF-IMPROVEMENT
Recursive self-improvement focuses on building AI systems that upgrade their own capabilities, with harness engineering supporting this process. Various design patterns, such as workflow automation, persistent memory management, and the use of sub-agents, contribute to creating AI harnesses that optimize performance and learning. The main challenges remain in the effective evaluation and management of context and memory.