Coding agent productivity metrics that matter
Blog post from Factory
Coding agent productivity should be evaluated through delivery outcomes rather than activity measures such as token consumption, sessions, lines changed, or pull requests created, which do not establish whether software is delivered faster or remains reliable. Useful evaluation connects agent-assisted work to speed, quality, cost, and organizational goals using delivery metrics such as lead time, deployment frequency, recovery time, change failure rates, review waits, rework, defects, rollbacks, and incidents. Comparisons should use similar task types, credible baselines, pilot groups where possible, and annotations for factors such as staffing, model changes, policies, and CI capacity. Cost analysis should focus on accepted changes or completed tasks while accounting for model usage, compute, reviewer effort, and failed-validation reruns. Organizations are encouraged to review trends with engineers and code owners, use a small balanced set of delivery, quality, cost, and adoption measures, avoid a single productivity score, and retain only metrics that support concrete decisions rather than rewarding visible activity or judging individual engineers.
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