General Motors (GM) is set to reveal how its retooling of software for AI agents has resulted in a remarkable 300% increase in merged pull requests at the VB Transform 2026 conference. This development comes as part of GM’s effort to optimize its technology systems, addressing the friction AI agents encounter when using software originally designed for human operators. As Rashed Haq, VP of autonomous vehicles at GM, explained, the company implemented a three-layer control plane to streamline interactions between AI agents and various tools, which has significantly enhanced engineering efficiency. This initiative aligns with broader enterprise trends where companies are extending their workflow engines to support comprehensive AI agent orchestration for complex tasks.
Rashed Haq: Rashed Haq is Vice President of Autonomous Vehicles at General Motors, where he leads efforts on AI, robotics, and intelligent systems at scale. He brings experience from prior roles in AI engineering and autonomy programs. Haq will share technical insights on GM’s agentic infrastructure and engineering velocity improvements during his July 14 session at VB Transform 2026.
General Motors: General Motors is a leading global automotive manufacturer advancing software-defined vehicles and autonomous technologies. The company is actively integrating AI into its engineering and design processes to accelerate development cycles and improve decision-making. Rashed Haq, its VP of Autonomous Vehicles, is set to detail GM’s retooling of workflows for AI agents at the VB Transform 2026 conference.
AI Integration: GM is embedding AI tools and simulation into vehicle development workflows from the earliest design stages to enable faster iterations and better decisions.
Enterprise AI Trends: Companies are extending workflow engines to support full production AI agent orchestration systems for complex distributed tasks.
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