Salesforce published data that quietly changed how I think about team design.
In April 2026, their engineering output, measured by a machine learning-based Effective Output score, grew 151.3% year over year. PRs merged per developer jumped 79%. Work items completed per developer rose 50.8%.
They didn't double their headcount. They restructured how their teams operate around AI agents.
This is the inflection point. Not "AI makes developers faster" — we knew that. But "AI changes what an engineering team looks like" — that's the shift most orgs are still catching up to.
What's Actually Different About Agentic Coding
