Faster code generation does not produce cleaner code. It produces more code. Here is the loop we run instead of debt sprints: scheduled scans, agent-generated pull requests, and two numbers that tell you whether it is actually working.
AI hasn't made engineering productivity unmeasurable. It's made the easy metrics dangerous, inflating commits and lines of code automatically, widening the gap between feeling fast and being fast, and hiding real costs downstream. Here's what breaks, why, and what to measure instead.
Two teams can post identical delivery numbers while one thrives and the other burns out. Psychological Productivity Engineering measures the human substrate beneath the output: a structured survey, a DevSat score, and a feedback loop that catches problems before they cost you people.
Engineering productivity isn’t about counting commits. It’s about balancing speed, quality, and team health. Learn how to measure what matters and improve the system, not judge the people inside it.
Software engineers won't be writing code anymore. They'll be building a team of agents.
The Biggest Job Transformation in Tech History Is Already Underway
Let's skip the
