The AI Engineering Productivity Paradox reveals why faster code generation doesn’t equal better outcomes and how teams can fix it. Imagine you’re the manager of a state-of-the-art car factory. You’ve just invested millions in a glorious, gleaming robotic arm that can stamp out car doors ten times faster than any human. Your output metrics for the stamping station go through...