Harness engineering for coding agent users

A mental model for building trust in coding agents through feedforward guides, feedback sensors, and iterative harness engineering.

Harness engineering for coding agent users Harness engineering for coding agent users To let coding agents work with less supervision, we need ways to increase our confidence in their result. As software engineers, we have a natural trust barrier with AI-generated code - LLMs are non-deterministic, they don't know our context, and they don't really understand the code, they think in tokens. This article explores a mental model that brings together emerging concepts from context and harness engineering to build that trust. 02 April 2026 Birgitta Böckeler Birgitta is a Distinguished Engineer and

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