From On-Call to Always-On#
@Scale: Product 2026 digest Program Core pick 28 October 2026
Sumeet Arora (Meta)
- Why: The continuous maintenance loop — discover, triage, fix, verify before users report — is the SRE problem the PM knows well. This is one of the few talks explicitly framed around transferable design principles for delegating that loop to agents.
- What: How AI agents can support an always-on product maintenance loop: discovering and triaging issues, proposing fixes, and verifying outcomes, plus the engineering challenges behind such systems — providing the right product context, coordinating specialized agents, driving work to completion, and measuring quality. Includes a model for expanding autonomy as reliability improves while keeping engineers in control of consequential decisions. (from abstract only)
- How: A pipeline of specialized agents spanning discovery → triage → fix proposal → verification, with an autonomy ladder tied to demonstrated reliability and human sign-off retained for consequential decisions.
- Where applicable: Explicitly positioned as generalizable design principles rather than a Meta-only system — the talk's stated takeaway is "practical design principles for bringing agentic maintenance into your own engineering workflows." The hard parts (product context, agent coordination, quality measurement) scale with org complexity but are not Meta-specific.