HOW TO BUILD A RELIABLE AGENT HARNESS

Summary from the TLDR AI newsletter

This post lays out a detailed architecture for agent harnesses, covering state management, runtimes, control planes, inference, tools, interfaces, and language choices. The central argument is that unavoidable complexity should be absorbed by core abstractions rather than repeatedly pushed onto extensions and users.