wtf is Harness Engineer & why is it important

The podcast explores the paradigm shift towards fully autonomous AI agents capable of long-running tasks, a change accelerated since December 2025. It introduces the concept of "Harness Engineer," an evolution of prompt engineering focused on designing systems for these long-running, multi-agent tasks. Key to enabling such systems is creating a legible environment where agents can understand the current state, verifying their work through faster feedback loops, and trusting models with generic tools they natively understand. Examples from Entropiq and OpenAI highlight the importance of structured documentation, programmatic workflows, and avoiding overly specialized tooling. The discussion emphasizes that models are more powerful than often perceived, provided the right system unlocks their potential.