Designing Your Own AI Harness: A Deep Dive Into the Architecture of Agent Loops, Tools, Context, and Control
8 relevance
Score Breakdown
technical depth 9
novelty 8
actionability 8
community 5
strategic 6
personal 10
Scored daily by a customisable AI persona to surface the most relevant engineering leadership news.
Deep dive into AI agent architecture perfectly matches the reader's interests.
Summary
A major framework team boosted an agent benchmark from the low 50s to mid 60s, vaulting into the top five, by rebuilding only the harness around the same model. The harness is a while-loop with judgment: assembling context, sending to the model with tool schemas, validating permitted tool calls, and enforcing budgets; the article decomposes this into five layers (tools, context, permissions, control, persistence) with patterns like progressive context compaction and filesystem-first tools to combat context rot.