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. We also used the event to ship five major capabilities that change how engineering teams can operate, including the ability to build your entire IDP in minutes, prove the ROI of your AI investments, and have strategic conversations with your engineering data.
But as your favorite infomercial host constantly said in the 90s, that's not all. If you couldn't make it to IDPCON, or just want to catch up on everything we shipped, here's a quick recap.
Build your IDP in minutes with Magellan
Building a catalog used to be a months-long project. You'd spend weeks tracking down owners, untangling dependencies, and manually piecing together a picture of your architecture.
Now it takes minutes.
Magellan is our new AI-powered data engine that builds your catalog and gets your IDP live faster than you can finish your morning coffee. It automates the discovery of services, resources, and ownership across your stack, then uses AI to suggest owners for your services, solving one of the hardest parts of building a catalog. The result is a fully functional IDP, ready to drive your engineering standards from day one.
Prove the ROI of your AI investments with the AI Impact Dashboard
Rolling out GitHub Copilot is a significant investment. Leadership will inevitably ask if it was worth the cost. Until now, answering this question was nearly impossible. GitHub provides adoption stats, but connecting that data to real-world performance metrics like cycle time or code quality has been a manual, frustrating process.
Enter the AI Impact Dashboard. By integrating directly with GitHub Copilot, we combine adoption metrics with engineering performance. You can see at a glance if teams with higher adoption rates also have shorter cycle times. You can compare active Copilot users to non-users and get definitive proof of productivity gains. You can even drive adoption using Scorecards powered by two new metrics: Active Copilot Users and Adoption Rate.
Learn more about the AI Impact Dashboard →
Have strategic conversations with your data
With your IDP built and your dashboards configured, you have the increased visibility you once dreamed of. But what if you could actually talk to your engineering data?
The new AI chief of staff for engineering leaders makes this dream a reality. By connecting your Engineering Intelligence data with your scorecards and standards, it lets you move beyond observing metrics to understanding the root causes behind them.
See MTTR creeping up? Ask which services have concerning trends and what scorecard gaps are contributing. Leading a company-wide migration? Ask which services are blocking completion. The AI chief of staff gives you real-time, data-driven answers to the questions that matter most.
Discover the AI chief of staff →
Access it all from wherever you work with the Cortex MCP
None of this matters if your team has to constantly context-switch between tools. That's just one reason why we were so excited to announce that the Cortex Model Context Protocol (MCP) is now generally available.
After a successful research preview, the MCP brings the full context of your engineering ecosystem directly into the tools your team already uses, like Claude and ChatGPT. For developers and SREs, it's an on-demand knowledge base during incidents. For platform teams, it's a way to track initiative progress without chasing people in Slack. For engineering leaders, it powers the strategic conversations that are necessary to be a more proactive leader.
Create the dashboards you actually need with custom views
Getting an IDP live is great, but that initial excitement wanes quickly if you’re unclear about what’s most important to measure. Every engineering organization measures success differently. A dashboard that's perfect for one team might be meaningless for another. That's why we built Custom Views in Engineering Intelligence.
You can now create fully customizable dashboards tailored to your unique goals. Whether you need a high-level executive summary, a detailed reliability dashboard for a specific team, or anything in between, Custom Views lets you build it. This creates a shared language for performance across your entire organization.
Watch the sessions
Check out the recordings here. You'll find deep dives on each product announcement, customer stories about how teams are using Corte to drive engineering excellence, and technical demos that show these capabilities in action.
See it in action
IDPCON 2025 represents a fundamental shift in how engineering teams can operate. Building your IDP now takes minutes, not months. Understanding your data means having a conversation, not building reports. Proving ROI happens automatically, not manually.
Schedule a demo to see these capabilities in action.
