How Engineering Leaders Are Restructuring Around AI

Peer Benchmark Report:

How Engineering Leaders Are Restructuring Around AI

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.

You'll take away:

• Why adoption hit near-universal levels while only about a fifth of teams reached workflows where AI ships production code under oversight
• Where the bottleneck moved once coding got faster, and why review and strategy now gate delivery
• What separates the teams that got real throughput from broad AI access from the ones that got chaos
• How much time teams still lose to handoffs every week, and why faster coding leaves that coordination tax intact