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.
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.
Join us for a follow-up Grafana Campfire to explore what we’ve built in Git Sync since December 2025. We’ll cover new and improved Git provider integrations and authentication options, smoother dashboard editing and pull request workflows, and more control over changes through signed commits, user attribution, and PR and commit conventions. We’ll also explore improvements to folder organization and permissions, READMEs alongside your dashboards, and clearer synchronization status.
AI feels faster. Make sure it is. GitKraken Insights shows engineering leaders the real cost, output, and ROI of their AI investment, per tool, per team, per developer. Then it gives every developer their own data and coaching to get more from it. 84% of developers say they feel more productive with AI. Only about one in five can actually measure the impact.* With GitKraken Insights, you can: We run on it ourselves: GitKraken's own engineering org reached 2.53x output in six months.