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AI Maturity

Learn how Cortex helps engineering organizations unlock AI excellence by measuring, standardizing, and improving how teams adopt and use AI coding assistants like GitHub Copilot, Cursor, and Claude. Cortex enables organizations to mature their AI practices—not just adopt AI tools, but adopt them safely, consistently, and with measurable engineering impact. What you’ll learn in this video.

AI Readiness

Discover how Cortex helps engineering organizations unlock AI excellence by building the strong, reliable foundation needed for safe and scalable AI adoption. Cortex goes beyond just giving developers access to AI tools; it ensures your teams are ready to use AI safely, reliably, and at scale. What You’ll Learn in This Video: With Cortex, teams gain visibility into engineering practices, track compliance across services, and create a repeatable framework for safe AI innovation. By automating accountability and enforcing standards, Cortex helps organizations adopt AI with confidence, not risk.

AI Governance

Discover how Cortex helps organizations unlock AI excellence by bringing structure, visibility, and governance to teams that are building AI and machine learning models. As companies scale their AI initiatives, Cortex becomes the single source of truth for all ML and AI assets, ensuring reliable versioning, ownership, compliance, and responsible AI practices. What you'll learn in this video.

Cortex and Rootly partner to help teams turn incidents into continuous improvement

For many engineering teams, an incident is a chaotic, all-hands-on-deck event. Once the incident is resolved, everyone returns to their regular work and the valuable lessons from the incident are often lost. The result is a cycle of repeated failures and engineer burnout, where incidents are something to be survived, not learned from. At Cortex, our mission is to help engineering organizations build a culture of continuous improvement.

New Feature Friday: Cortex & AWS

Most teams treat AWS like a black box. Cortex turns the lights on. We now automatically ingest all your AWS resources—from Lambda to RDS—and map them to the services and teams that actually own them. Daily. Automatically. No spreadsheets. No guesswork. Scorecards help you enforce real standards (think: runtime upgrades, tagging hygiene, EOL migrations). Workflows help your engineers self-serve AWS resources without needing to be AWS experts.

10 platform engineering tools your devs will thank you for

Modern engineering teams are shipping more services, managing more complex infrastructure, and moving faster than ever. But this velocity often comes at a cost to the developer experience. Engineers are frequently bogged down by infrastructure complexity, inconsistent tooling, and a lack of clear standards, which leads to cognitive overload and slower cycle times.

The engineering leader's guide to AI tools for developers in 2026

The holiday shopping season is a familiar ritual for many. We spend hours researching the best deals, comparing features, and reading reviews to make sure we’re investing in the right things. As we all come to grips with the fact that 2026 is right around the corner, engineering leaders are doing the same thing, but largely in response to the explosion of AI developer tools.

New Feature Friday: Understand & Improve Your DORA Performance with Cortex

This week on New Feature Friday, we’re highlighting two new releases that make it easier than ever to understand and improve your DORA performance: DORA Academy Course A guided learning experience that shows you how to use DORA Metrics and Cortex together to drive better engineering outcomes—without the data chaos. DORA Operational Readiness Scorecard An out-of-the-box template that benchmarks each service against DORA standards, giving teams an instant snapshot of where they stand and where to focus.

The most important question to ask in the build vs. buy debate

Every growing engineering organization eventually faces the seemingly impossible decision between building a custom solution or buying one off the shelf. It’s a debate that often (and incorrectly) ends by choosing whichever option is less expensive. However, it’s become clear that solving the build vs. buy puzzle boils down to understanding what you want to be good at and whether your internal build is actually unique.