Left of the Loop: Why AI agents broke your engineering metrics

Short summary

AI agents have made the fast part of software delivery faster while leaving the slow part—review, coordination, and agreement on 'done'—unchanged, creating a false sense of productivity. Traditional proxies like PR count and velocity now measure the wrong clock: individual output climbs while throughput and stability drop. Teams need to measure whether problems are actually solved and systems are easier to change, not whether more tickets were closed.

• •AI agents accelerated implementation but review and coordination remain the real bottleneck
• •Velocity and PR counts are broken proxies that AI makes worse, not better
• •Teams should measure problem resolution and system maintainability instead of output volume

Generated with AI, which can make mistakes.