VP of Productivity Engineering at ZoomInfo, running DevEx, CI/CD, Quality, and AI in the SDLC across teams in Israel, the US, and India. 20+ years in engineering, including a decade at Philips Healthcare. Serial Founder and Engineering Leader.
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.
You cannot measure velocity directly without corrupting it. Measure flow instead. Cycle time, deployment frequency, change failure rate, restore time, and one satisfaction signal, plus what to track at your org size.
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
Tech debt is a hidden tax on engineering, quietly consuming 25–40% of developer capacity. Traditional approaches can't keep up. AI doesn't make tech debt disappear, but it changes the economics of managing it, turning a reactive chore into a measurable, strategic advantage for organizations.
Four pillars: improve experience, empower autonomy, foster collaboration, accelerate the SDLC. Here is how each one maps to the three outcomes your business already tracks: retention, acquisition, and operational efficiency.
