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Inside Meta’s Work on AI Agent Reliability and Platform Operations, Podcast
In a podcast recorded at ITEXPO / MSP EXPO, Doug Green, Publisher of Technology Reseller News, spoke with Krishna Balusu of Meta Platforms about how large-scale digital platforms are using AI agents to improve reliability, performance, and operational resilience behind the scenes. Balusu explained that Meta is actively deploying internal AI agents—designed not for end users, but for developers and operations teams—to identify and troubleshoot platform issues automatically. These agents, part of an internal system known as Opsmate, monitor performance signals such as slow load times or degraded user experiences and work to identify root causes without requiring immediate human intervention. “It’s almost like hiring an employee whose job is to retrace the steps a human engineer would take to find the root cause of a problem,” Balusu said, describing how the system reduces operational load on engineering teams. Rather than being self-healing in a purely heuristic sense, Balusu noted that modern platforms face constant change—from weekly application updates and operating system revisions to sudden spikes in traffic driven by global events. AI agents provide a flexible way to reason across many possible variables in real time, proactively isolating issues and accelerating resolution. These agents are already in use on Facebook and Messenger, with broader expansion planned over time. Looking ahead, Balusu suggested that this operational use of AI represents an early stage of a broader shift in software development. As AI systems take on more coding, diagnostics, and analysis tasks, engineers increasingly act as orchestrators and decision-makers rather than line-by-line developers. “We’re moving toward a world where engineers manage AI agents instead of writing and reviewing code themselves,” he said, highlighting how agentic AI is reshaping the future of large-scale platform engineering. Visit https://www.meta.com/technologies/
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