Harness Engineering
Definition
A development method that stabilizes AI coding quality with explicit, testable acceptance conditions
#Harness Engineering#verification harness#acceptance criteria#verification loop
What is Harness Engineering?
Harness Engineering is the practice of evaluating AI-generated outputs through explicit tests, acceptance criteria, and sample cases before release.
What changes in practice?
The focus shifts from "write better prompts" to "define machine-checkable done criteria." This keeps quality more stable even when models change.
When is it most useful?
It is especially effective for multi-file edits, long-running tasks, and repositories with high regression risk. The main value is reducing rework cost.
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