# agentic-engineering

A Tsinghua Shenzhen team proposes NLAH (Natural-Language Agent Harnesses): moving agent control logic from code into structured natural language, executed by an IHR runtime. Experiments show harnesses can reshape agent behavior patterns entirely, but more structure doesn't always mean better results. Dan McAteer argues harness engineering matters as much as model capability.

swyx argues the final boss of Agentic Engineering isn't writing better code — it's eliminating the human Code Review bottleneck. The SDLC is about to flip upside down.