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 engineering organization, faster releases and fewer defects escaping into later stages of development.
Haq said GM achieved those gains by redesigning complete engineering workflows around agents — not merely adding an AI coding assistant.
“If you give somebody just a chatbot which can do coding, there’s still a lot of inefficiency built into that process,” Haq said during a main-stage fireside chat at the luxurious Hotel Nia in Menlo Park, California.
Engineers spent most...
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