Measuring AI’s Unintended Consequences

The author argues that teams must measure and model the unintended consequences of using AI in software development, such as maintainability issues, burnout, and lock-in, because they carry real economic impact. To track these gradual and noisy effects, the author recommends monitoring metrics like value-add percentage and DORA metrics, alongside scenario models for maintainability and code churn. Open article →