AI tools make engineers managers; productivity must be re‑defined
AI code generators are turning individual contributors into de facto front‑line managers, but faster code isn’t necessarily more productive. Experts argue productivity should be measured by outcomes—cycle time, defect rates, and customer impact—rather than lines of code or PR counts. This forces engineering leaders to rethink metrics and team structures.