Every SRE team I've talked to this year is running the same experiment in different corners: "Can we have AI do some of this?" The honest answer is yes, but only if you stop thinking of it as a single AI and start thinking of it as a team of agents. Here's what "multi-agent SRE" actually means in practice.
Why one big model isn't enough
The first instinct is to throw a large language model at an incident. Paste the alert, paste the logs, ask for a root cause. It works on demos. It falls apart in production for three reasons.
First, context limits. A real incident spans services, deploy timelines, runbooks, and recent config changes. You run out of tokens before you run out of relevant data.
Second, specialization. Detection is a different job from triage. Triage is a different job from remediation. One prompt trying to do all three produces shallow results everywhere.
