Harness engineering for coding agent users
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Introduction to harness engineering for maximizing coding agent utility.
Harness engineering for coding agents, defined as Agent = Model + Harness, uses outer harnesses with feedforward guides and feedback sensors to build trust. Computational controls like tests and linters provide deterministic steering, while inferential controls like AI reviews add semantic judgment. This reduces review toil and improves system quality by enabling self-correction.
Implement an outer harness for your coding agents that combines computational controls (e.g., linters) and inferential controls (e.g., AI reviews) to minimize review burden and maximize output quality.
As a senior engineer focused on AI agent orchestration and developer tooling, this framework directly addresses trust and efficiency in AI-assisted coding, reducing manual oversight and enhancing system reliability.