# How leading teams turn AI into an engineering productivity edge | LinearB Blog > Developers using AI heavily are merging PRs up to 2.2x faster than a year ago. See the mid-year benchmark data on the widening productivity gap, and how to close it. [Blog](https://linearb.io/blog) / How leading teams turn AI into an engineering productivity edge # How leading teams turn AI into an engineering productivity edge ![Photo of Jamie Birss](https://assets.linearb.io/image/upload/v1784104404/headshot_8d1e617011.jpg) By [Jamie Birss](https://linearb.io/blog/ai-productivity-edge#jamie-birss) | July 14, 2026 ![Blog_Post_Name_2400x1256_be95b2d258](https://assets.linearb.io/image/upload/v1784105772/Blog_Post_Name_2400x1256_be95b2d258.png) You can probably answer whether AI adoption is up in your team. Seat counts, AI-assisted pull requests, and agentic tools enabled have all been climbing in almost every organization we speak with. What you likely can’t answer, at least not with confidence, is whether any of it is helping your team ship faster. The question matters more this year than last, because the teams that worked out how to use AI are no longer just inching ahead. A real gap is opening between the teams that master AI and those who merely use it, and it's widening fast. The good news is that which side your team ends up on is still up to you. ## **Adoption was never the finish line** For two years, the conversation has been about adoption, measured in how many seats, how many tools, and how much of the codebase is AI-touched. Those numbers are easy to collect and even easier to misread, because they count what went in, not what came out the other side. Adoption alone does not close the gap, and often can even look like a problem. AI-assisted changes tend to arrive bigger, and fully autonomous agents can stall in review when no human owns them across the finish line. Measure AI code the same way you measure human code, and you will conclude it is slowing you down. Measure it on its own terms, and a different picture emerges. Bigger AI-assisted changes and slower agentic reviews are expected and healthy for what they are, as long as they convert into merged, shipped work. Conversion is the whole game. It is the difference between a team that is busy with AI and a team that is faster because of it. ## **AI leverage separates the teams pulling ahead** The teams winning this are not the ones with the most seats. They are the ones turning AI activity into merged output, and the effect isn’t small. Developers with high AI usage are merging pull requests at 1.7 to 2.2 times the rate they were a year ago. Even a typical team, with a realistic mix of light and heavy users, should expect around a 1.5x lift in merge rate. A lift like that compounds quarter over quarter into a delivery pace slower teams can't easily catch. ![image.png](https://assets.linearb.io/image/upload/v1784105816/image_b5912bd11a.png) The uncomfortable part is how fast this happened. Teams that leaned in are compounding, teams that didn't are flat, and the gap only gets harder to close from here. ## **AI code reviews are the win you can turn on today** If the gap sounds daunting, the encouraging news is that one of the highest-leverage moves is also one of the easiest. Turning on AI code review lifts the rate of pull requests that actually get merged by up to 5%. It requires no workflow overhaul and no cultural shift - you simply turn it on, and more of the work your team already started makes it to production. [LinearB AI code review](https://linearb.io/platform/ai-code-reviews) runs automatically on every pull request, catching issues and moving changes toward merge without waiting on a human reviewer to pick them up. It is the lowest-effort velocity win available today, and it is the kind of change you can roll out across the org this quarter. AI code review is one move. The bigger question is where the rest of your leverage is hiding, and you cannot answer that from an adoption dashboard alone. ## **See where you stand** Where your team actually sits inside that gap isn't something you can eyeball. Right now, most leaders are working from gut feel and self-reported effort. [**Register for the live workshop**](https://linearb.io/event/engineering-productivity-gap), where we'll walk through the mid-year benchmark data behind the gap, and break down where the fastest teams' leverage actually comes from. You'll leave knowing what the teams pulling ahead do differently, and the concrete moves to close the distance, starting with what you can put in place this quarter. ## Improve developer productivity with LinearB Find us on [](https://www.linkedin.com/company/linearb) [](https://devinterrupted.substack.com/) ![headshot_8d1e617011](https://assets.linearb.io/image/upload/v1784104404/headshot_8d1e617011.jpg) ## Jamie Birss Jamie is a product marketer at LinearB with a soft spot for great technology and the humans who make it. 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