Operations | Monitoring | ITSM | DevOps | Cloud

Stefan sits down with Eddie, senior engineer at Checkly, to talk through how an AI agent rewrote a legacy Node.js service in Go, and what it actually took to ship that to production safely.

The fix for your next incident is probably already written in a runbook. See how BigPanda finds the right runbook for every incident, automatically.

Swarm investigation puts an entire team of AI agents on a major incident at once, cutting root cause discovery from hours to minutes. Every minute of a major incident costs real money, and traditional investigation, whether it's one engineer chasing a hypothesis or a team coordinating across tools, can't keep pace. This video shows how BigPanda's Swarm investigation dispatches AI agents to query systems, compare signals, and validate root cause in real time. See how autonomous incident response turns hours of manual troubleshooting into minutes.

I pulled every core-service outage AWS, Azure, and GCP published from January 2025 through September 2026 and measured what each deployment pattern would have saved.

Stop manually pushing branches, hunting for logs, and pasting errors back into your editor. This video shows you how to connect Cursor to CircleCI using the CircleCI CLI so your AI agent can trigger pipelines, read build output, and fix failures autonomously without you ever leaving the IDE. In this demo, we introduce a bug, let CI catch it, and watch the agent diagnose and fix it on its own, monitoring the pipeline until it comes back green. No tab-switching. No copy-pasting logs.

AI isn't the first technology that looked like it would wipe out jobs. The printing press did the same thing to monks centuries ago — and new opportunities followed anyway. Steve's take: AI is just the next shift in a very long line of them. Watch the full IT Leadership Lab session — linked above.

How do you build enterprise AI agents that actually take action? In this live demo, Resolve shows how Agent Lab helps IT and operations teams build, test, and deploy AI agents using natural language. See how teams can turn business requirements into executable workflows, give agents specific skills, establish guardrails, and automate real IT resolutions across enterprise systems.

Send this to the coworker who keeps mixing up file and block.

Everyone says "just write it up" — but too much documentation just creates sprawl, not clarity. Docs pile up, nobody maintains them, and a page last touched 8 years ago doesn't count as current. Documentation only works when it's built into the culture, not treated as a default. Watch the full IT Leadership Lab session — linked above.

Following go-live, Abbott teams quickly adopted a new application inventory process, reducing information management burdens and improving data accuracy.