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

Meta's Capacity Efficiency Program uses unified AI agents to automate finding and fixing performance issues at infrastructure scale. Key points:

• •AI agent platform encodes domain expertise into MCP Tools and Skills for language models
• •Two-sided approach: offense (finding optimization opportunities) and defense (catching regressions with FBDetect)
• •AI Regression Solver automatically generates pull requests to fix performance regressions detected in production
• •Efficiency opportunity resolution compresses manual investigation from ~10 hours to ~30 minutes
• •Shared tools and skills architecture powers both offense and defense, recovering hundreds of megawatts of power

This summary was automatically generated by AI based on the original article and may not be fully accurate.