Harness
5 articles
What Is Harness Engineering? The Missing Layer in AI Agent Design
Harness engineering wraps LLMs with runtime controls. Learn the Agent = Model + Harness formula and why it decides agent quality more than the model itself.
Harness Guides and Sensors: Controlling AI Agent Behavior
Master the two control loops of harness engineering: feedforward Guides that steer agents before action and feedback Sensors that correct them after.
Agent Error Radius and the Shift-Left Strategy
Learn how AI agents fail across three impact radii — commit delay, team flow friction, and maintainability rot — and how shift-left prevents them.
Natural-Language Agent Harnesses (NLAH): The ICLR 2026 Breakthrough
NLAH replaces code-based harnesses with natural-language contracts. Learn the ICLR 2026 IHR runtime, context rot prevention, and model vs harness debate.
LLM Infrastructure for Multi-Agent Systems: Local vs Cloud in 2026
Choose the right LLM backend for your multi-agent system. Compare Ollama, vLLM, and LM Studio, plus 2026 API pricing and hybrid routing strategies.