Harness engineering for coding agent users
Read OriginalThis article discusses how software engineers can increase confidence in AI-generated code from coding agents by applying harness engineering principles. It introduces a mental model combining feedforward controls (guides) and feedback controls (sensors) to steer agent behavior and enable self-correction. Key topics include the steering loop, timing, regulation categories (maintainability, architecture, behavior), harnessability, and the role of humans. The goal is to reduce review toil, improve system quality, and minimize wasted tokens.
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