GitKraken

Our latest analysis of 211M lines of code shows AI is accelerating development, but it is also increasing duplication and delivery instability. The gap between top teams and everyone else is growing, and most leaders do not see it yet.

AI is reshaping how software gets built, but its impact is not evenly distributed. Across 211M lines of code, top teams are adapting quickly while others are seeing growing risks in quality, stability, and long term performance.

Our latest analysis of 211M lines of code shows AI is accelerating development—but also increasing duplication and delivery instability. The gap between top teams and everyone else is growing fast.

AI is making developers faster, but not necessarily better. New data shows rising code duplication, shifting quality patterns, and why some teams are gaining leverage while others are losing control of their systems.

AI tools are boosting output across engineering teams, but they are also introducing new inefficiencies. Data across 211M lines of code highlights where teams are gaining real leverage and where they are quietly falling behind.

Engineering measurement shouldn’t be guesswork. Learn which metrics truly indicate AI impact, how to set baselines, and how to explain results to leadership without spin — with a repeatable framework based on real engineering data.