Operations | Monitoring | ITSM | DevOps | Cloud

AI discourse these days is all over the place. Depending on who you talk to, AI’s are absolute flash-in-the-pan junk, or they’re the best thing since sliced bread. I want to cut through the noise, though, and see for myself what someone can do out here on the bleeding edge. Thus, I’m setting myself a challenge: write a usable—and useful—application with Claude Code, from soup to nuts. Here are the rules: With our ground rules established, let’s figure out our app!

Imagine incidents resolved through insights, not manual investigations. ‍ Picture an incident management future where you're never alone during critical alerts. Imagine your best engineer always available, tirelessly investigating issues, analyzing logs, correlating metrics, checking recent code changes, and delivering actionable insights, instantly. Today, ilert is stepping boldly into this future with our first intelligent agent: ilert Responder.

When it comes to incident management, the ability to quickly access and act on operational data can mean the difference between brand loyalty and costly downtime. PagerDuty’s integration with the Amazon Q Business index addresses this challenge head-on by providing a seamless, more secure, and faster way to search and access enterprise knowledge across the IT ecosystem.

Code reviews are a crucial step in maintaining code quality, but many developers find them tedious and inconsistent. What if you could get helpful feedback automatically, as soon as a pull request is opened? In this tutorial, you’ll learn how to set up and integrate an AI-powered code review agent into your Go project. The agent uses the OpenAI API to post contextual suggestions and praise directly on pull requests.

Machine learning (ML) pipelines are increasingly being treated like software; built, tested, deployed, and monitored using automated tooling. But while infrastructure as code and microservices have matured with security best practices, ML systems often lag behind. The truth is, your ML pipeline is part of your software supply chain and it is vulnerable.

This series of articles discusses the development of a SOTA Open Smart Ring － a tiny wearable packed with electronics that fits on your (even the smallest) finger. We dive deep into what it means to develop such a product, its challenges, and ultimately, how to make it a manufacturable and usable piece.