Code Harness vs. Model-Driven Harness: Can Agent Control Be Expressed as Executable Natural Language?

The article reviews the "Natural-Language Agent Harnesses" paper, explains the distinction between code, middleware, and harness layers for LLM agents, introduces NLAH and IHR concepts, and details experimental evaluations that show natural‑language harnesses can match code‑based control while exposing new trade‑offs and risks.

Agent orchestrationIntelligent Harness RuntimeLLM Agents

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Code Harness vs. Model-Driven Harness: Can Agent Control Be Expressed as Executable Natural Language?

AI Waka

Apr 18, 2026 · Artificial Intelligence

Mastering AI Agent Reliability: 12 Harness Engineering Patterns You Need

This guide explains how to move from fragile, prompt‑only AI agents to production‑grade systems by designing a control layer—called Harness Engineering—covering memory management, workflow orchestration, permission boundaries, automation patterns, and the Intelligent Harness Runtime that makes agents self‑governing and resilient.

AI AgentHarness EngineeringIntelligent Harness Runtime

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Mastering AI Agent Reliability: 12 Harness Engineering Patterns You Need