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Why your company should (try to) build its own AI SRE

As AI coding agents accelerate software development, they also create new challenges for site reliability engineers (SREs), who are increasingly responsible for debugging systems that no single human fully understands. In this episode of The New Stack podcast, Sam Farid and Nate Heinrich of Chronosphere argue that AI agents should also be used for root-cause analysis, helping teams diagnose failures more quickly as model capabilities continue to improve.

Featuring

A man with short dark hair, wearing a gray collared shirt, stands outside with blurred buildings and a cloudy sky in the background, perhaps preparing to discuss AI SRE topics for his company’s podcast.
Sam Farid

Senior Engineering Manager, Chronosphere

A man with short brown hair, beard, and glasses smiles at the camera while standing outdoors with trees in the background, perhaps envisioning how to build its own AI SRE for a company.
Nate Heinrich

Principal Product Manager, Chronosphere

A person with glasses and a shaved head wearing a light blue shirt stands in front of a leafy green background, embodying the thoughtful expertise one might expect from someone helping a company build its own AI SRE.
Alex Wilhelm

Host, The New Stack Makers

Alex Wilhelm is a journalist focused on technology and finance. He co-hosts the This Week in Startups podcast, and writes the Cautious Optimism newsletter. He was previously Editor in Chief of TechCrunch+.