Nearly every engineering team has adopted AI coding tools, and far fewer have changed how work moves once those tools are in place. That gap shows up in the numbers. We surveyed engineering and product leaders across the maturity spectrum to find out what happens after adoption, and the teams reporting the biggest velocity gains were the ones who redesigned their workflows around the tools they already had.

This report shows where your peers actually landed on adoption, bottlenecks, review, and handoffs, so you can find the rung you're standing on and see what the teams above you did differently.