AI · 2h ago
Building Better AI Agents: The Harness Matters More Than the Model
A major framework team improved an agent benchmark score from low 50s to mid 60s by rebuilding only the agent harness, not the model. The article details the architecture of agent loops, tools, context management, permissions, and persistence for production-grade systems. It emphasizes that the harness is a delivery mechanism for context engineering, with features like progressive compaction and budget enforcement separating demos from reliable systems.
Meridian48 take
The piece underscores a crucial but often overlooked insight: in applied AI, engineering the scaffolding around the model can yield bigger gains than chasing the next model release.
Read the full reporting
Designing Your Own AI Harness: A Deep Dive Into the Architecture of Agent Loops, Tools, Context, and Control →
DEV Community
ai-agentsagent-architecture