A customer reported a critical bug. Users being logged out mid-session. 200 people blocked mid-rollout.
I asked Coworker one question:
"Based on our Slack conversations, Jira tickets, and recent meeting notes — can you figure out what's causing it, who owns it, and draft a Jira ticket with full context so the right engineer can fix it fast?"
What came back in under a minute:
Root cause identified. A token refresh refactor shipped Feb 25 introduced a bug where the session expiry window was not resetting on active API calls. Standard users never noticed. Enterprise users with long sessions hit the 15-minute TTL and got kicked out.
Coworker found the smoking gun in a Slack thread from March 1. The engineer who authored the fix had already identified the bug and had a local patch ready. She just had not pushed it yet.
It also found the Feb 28 engineering sync notes where the same engineer flagged the refactor was "not fully regression tested on enterprise session lengths." The warning was there. Nobody acted on it.
Full Jira ticket drafted. Root cause, steps to reproduce, expected vs actual behavior, impact summary, acceptance criteria. Ready to file.
This used to take 45 minutes of digging across three tools.
Coworker did it in 60 seconds.
How long does it take your team to get from customer complaint to root cause?
#EngineeringOps #CustomerSupport #EnterpriseAI #Jira #AIAgents #Coworker