What if AI agents could engineer their own "survival gear" to solve complex coding tasks? This episode dives into Agentic Harness Engineering (AHE), a framework that uses observability pillars to let agents automatically evolve their own tools, prompts, and middleware,. You will discover how this self-improving loop not only beats human-designed systems but also creates portable engineering knowledge that boosts performance across entirely different AI model families,.
