Operations | Monitoring | ITSM | DevOps | Cloud

Two weeks ago, we hosted IDPCON 2025, and the response has been overwhelming. Over 250 engineering leaders from 20+ countries joined us for 12 sessions featuring speakers from Canva, Skyscanner, Blackstone, and more. Attendees participated in discussions at 20+ roundtables, sharing strategies and challenges around engineering excellence and internal developer portals.

Today's Recipe: Vibe-coding an identity-provider integration for Cortex.

In an era of unprecedented change, the role of an engineering leader has never been more demanding. Yesterday’s priority was scaling teams, while today’s is twofold: deploying AI responsibly and measuring the true impact of it all. The challenges are immense, and for the first time in a long time, the playbook is being written in real-time. That’s why today, we are thrilled to announce the launch of Braintrust, a new community from Cortex.

Rolling out a powerful AI tool like GitHub Copilot is a big win for any engineering leader. But because it’s such a significant investment, leadership will inevitably ask if it was worth the cost. Until now, answering this was nearly impossible. While GitHub provides adoption stats, connecting that data to real-world performance metrics like cycle time or code quality has been a manual, frustrating process. We built the Cortex AI Impact Dashboard to provide a clear answer.

Every engineering organization measures success differently. A dashboard that’s perfect for one team might be meaningless for another. While out-of-the-box views for DORA are a great starting point, leaders need the ability to define and share the specific combination of metrics that matter most to their business. Without this, you're either forcing your teams to conform to generic reports or wasting time rebuilding the same views every week.

You see MTTR creeping up, but you don’t know why. You could ask your teams, but that means meetings, pulling people off projects, and waiting days for answers. What if you could just…ask? We’re excited to introduce the new strategic AI chief of staff for engineering leadership, powered by the Cortex MCP. By connecting your Engineering Intelligence data with your scorecards and standards, the MCP allows you to have a strategic conversation about your organization’s performance.

Building a catalog used to be a project. It meant months of tracking down owners, untangling dependencies, and manually piecing together a picture of your architecture. It was a tedious, thankless process that delayed the value of your Internal Developer Portal (IDP) before you even got started. Now, it’s a coffee break. We’re excited to introduce Magellan, our new AI-powered data engine designed to build your catalog and get your IDP live in minutes.

Here's a scenario every on-call engineer knows too well: a critical incident fires for a service you’ve never seen before. Your first ten minutes are a frantic scramble across wikis and Slack channels just to answer the most basic questions: Who owns this? What does it do? Where are the runbooks? By the time you’re oriented, the incident has escalated.