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Presentation: Keeping ChatGPT Fast as AI Development Accelerates

OpenAI's agents are now the invisible hand maintaining ChatGPT's speed. Martin Spier reveals how agentic workflows automate performance engineering at scale.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

OpenAI has deployed always-on AI agents to handle continuous profiling, regression detection, and optimization—turning what was manual DevOps work into autonomous systems. This is agents doing real infrastructure work in production, not a pilot.

The key facts

5 to know
  1. Agentic workflows dramatically increase code change volume at OpenAI

  2. Always-on AI agents automate profiling, regression detection, and continuous optimization

  3. Hidden systemic performance costs of rapid shipping beyond GPU capacity

  4. Agents maintain product speed and scalability at global scale

  5. Speaker: Martin Spier (OpenAI performance engineering)

Go to the source

InfoQ AI/MLinfoq.com

Publisher excerpt: Martin Spier explains how agentic workflows dramatically increase code change volume at OpenAI. He discusses the hidden systemic performance costs of rapid shipping beyond GPUs, and shares how deploying always-on AI agents automates profiling, regression detection, and continuous optimization to…
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