Capacity Efficiency at Meta: How Unified AI Agents Optimize Performance at Hyperscale

This post introduces Meta's Capacity Efficiency Program, which utilizes a unified AI agent platform to automate the detection and resolution of performance issues across its infrastructure. The platform employs AI agents that encode domain expertise into reusable skills, leveraging standardized tool interfaces for both proactive optimization ('offense') and regression detection/mitigation ('defense'). This has resulted in the recovery of hundreds of megawatts of power and a significant reduction in manual engineering investigation time, enabling the program to scale efficiently.