Wire · opportunities
GM redesigned its engineering workflows around AI agents — and tripled its merged pull requests
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Fusion42 · 28 July 2026 · Fusion42 review
General Motors redesigned its autonomous vehicle engineering workflows around AI agents, resulting in a tripling of merged pull requests, faster releases, and fewer defects. GM connected agents to internal tools and petabytes of vehicle telemetry data via custom Model Context Protocol servers, automating bottlenecks in simulation testing, road testing, and post-deployment monitoring loops.
This Wire brief sits within Fusion42's coverage of AI Agents.
◆ ◆ The Wire takeaway
The 85% of engineering time outside the code editor is now where agents move the needle. If you're building developer tools or internal platforms for hardware or safety-critical teams, the question isn't whether to add agents—it's how to map your bottleneck loops and give agents permission to own them end-to-end.
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1 source · 28 Jul 2026
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