CAPACITY EFFICIENCY AT META: HOW UNIFIED AI AGENTS OPTIMIZE PERFORMANCE AT HYPERSCALE

Summary from the TLDR Dev newsletter

Meta built a unified AI agent platform that automates both detecting and fixing performance regressions across their infrastructure, using shared tooling (profiling, code search, and config history) paired with domain-specific “skills” encoded from senior engineers. The system compresses ~10 hours of manual investigation into ~30 minutes and can auto-generate PRs.