GM redesigned its engineering workflows around AI agents — and tripled its merged pull requests

Software engineers at General Motors' (GM's) autonomous driving division spend only 15% of their time writing code, according to Rashed Haq, GM's VP of autonomous vehicles, in a recent onstage interview at VB Transform 2026. GM is now using AI agents to accelerate much of the other 85%—including analyzing vehicle data, triaging problems, running experiments and testing potential fixes. The result, Haq said, is roughly three times as many merged pull requests across GM’s autonomous vehicle engine