Agent Harness Engineering
The article introduces the concept of 'harness engineering' in the context of AI agents, arguing that the scaffolding around a model is as important as the model itself. It suggests that building robust tools, feedback loops, and sandboxes is the key to preventing AI agent failures.
Why it matters
As AI development shifts from model-centric to agent-centric, the engineering of reliable 'harnesses' becomes critical for practical, long-running AI applications.
A coding agent is the model plus everything you build around it. Harness engineering treats that scaffolding as a real artifact, and it tightens every time the agent slips.
The content is a technical perspective on software engineering practices and does not contain political or social bias.
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