Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

Get more from your AI chief of staff with these prompts for engineering leaders

Engineering leaders face a constant barrage of questions that pull them away from strategic work. A team lead asks about scorecard compliance. A PM wants a status update on a migration. Someone needs incident trend data for a quarterly review. Each question is reasonable. Each requires context switching, digging through dashboards, or pinging someone on your team for a report. What if you could just ask?

Modern Service Architecture for High-Velocity Operations

Modern service architecture supports organizations that target sustained velocity, predictable delivery cycles, and scalable global operations. Cloud-native platforms, microservices patterns, and distributed execution models now anchor these environments. Modern service architecture emphasizes modularity and flexibility, which contrasts with traditional monolithic approaches. The 2025 Gartner Magic Quadrant for Cloud-Native Application Platforms identifies AWS, Red Hat OpenShift, and Heroku as leaders because they strengthen developer experience, platform engineering, and security.

Distributed Tracing for Microservices: 10 Essential Best Practices for 2026

Distributed tracing tracks how a single request moves across multiple microservices, helping teams see the entire execution path end to end. In modern architectures where dozens of services interact, it becomes difficult to understand where latency starts, why bottlenecks appear, and which component breaks under load. Traditional monitoring only shows isolated metrics. Distributed tracing connects those dots.

Our Engineering in the Age of AI: 2026 Benchmark Report finds AI is making engineering faster, but not necessarily better

Everyone's talking about how AI is transforming software development. Teams are shipping more code, deploying more frequently, and getting features to market faster than they could a year ago. The productivity gains are real. But we kept hearing a different story from engineering leaders. Yes, velocity is up. But incidents are climbing, resolution times are getting longer, and code review processes are struggling to keep up.

Introducing Braintrust by Cortex: Real conversations about engineering excellence

I'm excited to share that we're launching Braintrust by Cortex, a podcast I've been wanting to create for a while now. After years of building Cortex and working with engineering leaders across industries, I’ve noticed an opportunity for conversations that dig deeper into the daily work of building great engineering teams.
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8 Challenges of Microservices and Serverless Log Management

As organizations increasingly adopt serverless architectures and embrace the benefits of microservices, managing logs in this dynamic environment presents unique challenges. In this blog, we're taking a closer look at the differences between serverless and traditional log management, as well as 8 challenges associated with log management for serverless microservices.

Cortex and Sonar Announce Partnership to Drive Code Quality and Security at Scale

At Cortex, our mission is to empower engineering organizations to ship reliable, secure, and efficient software, faster. Today, we’re thrilled to announce a formalized partnership with Sonar, the leader in code quality and security. For years, Sonar has been one of the most popular integrations in Cortex. Teams rely on Sonar’s deep code insights to identify vulnerabilities, ensure coverage, and raise the bar for clean, secure code.

Black Friday is 30 days away. Your engineering infrastructure might not be ready

If you're anything like your peers, you probably blinked in April and found yourself a month away from Black Friday when you opened your eyes. Much like a shopper desperately scrambling to pull together gift lists for their loved ones, many engineering teams find themselves rushing to ensure their systems can handle the biggest shopping day of the year.