Operations | Monitoring | ITSM | DevOps | Cloud

Introducing Chunk: The agent that validates code at AI speed

The software development landscape has fundamentally shifted. Teams are shipping more value faster than ever, leveraging AI to generate code at unprecedented speed. But with this velocity comes equally dramatic complexity — small teams now face challenges that once belonged only to large organizations, while large organizations grapple with codebases that strain human comprehension. This complexity isn’t a bug — it’s a productivity opportunity to embrace.

Beyond Automation: The Rise of Agentic Networks

Agentic AI is the next evolution in network management, moving beyond simple automation to intelligent systems that can reason, plan, and act autonomously. Justin Ryburn, Kentik Field CTO, highlights how this shift automates expertise, enables proactive problem-solving, and empowers human engineers for strategic innovation.

Meet Rovo Chat in Bitbucket: your AI-powered teammate

We’re excited to announce that we are starting a phased rollout of Rovo Chat in Bitbucket Cloud today! It will be available to 100% of users by September 30th, 2025. To check if it’s available on your account, look for the Rovo Chat button in your top navigation. Rovo is Atlassian’s AI-powered teammate that helps you find what matters, learn faster, and take action right in your workflow.

Cortex is now available in the Devin Marketplace, keeping your AI within the guardrails of your org wide best practices

We are thrilled to announce that the Cortex Model Context Protocol (MCP) is now available in the Devin marketplace. This integration connects the world’s first AI software engineer with the real-time context of your entire engineering ecosystem, as managed and measured by Cortex. The rise of AI software engineers like Devin fundamentally changes how organizations tackle their biggest technical challenges.

AI Hype vs. IT Reality: What to Expect from an IT Automation Platform That Actually Delivers

Artificial intelligence is everywhere: in keynotes, press releases, product announcements, and quarterly roadmaps. From help desk chatbots to predictive analytics, AI is being positioned as the silver bullet for almost every IT challenge. But under the surface, most IT leaders are asking a much more practical question: What’s actually real?

Sentry AI code review, now in beta: break production less

This could’ve been prevented. This should have been prevented. This too. We all hate getting tagged in PRs. The time, the blame for when you inevitably miss something, and constant “I wouldn’t have written it that way” feeling is just hard to shake. LLMs promised this would get easier. Promised they would do it for us. But as we’ve seen, we’re not there yet. But this is what Sentry does for a living. We catch bugs… in prod.

Agentic AI Becomes Essential: Why Adoption Is Accelerating and What Comes Next

The cautious optimism business leaders held towards AI agents has evolved into more widespread enthusiasm. In our last survey from April 2025, just over half (51%) of companies had deployed AI agents in their organization. Six months later, 75% of companies are deploying more than one agent, according to PagerDuty’s latest research.

Smarter AI Cost Optimization With Guardrails That Scale

AI adoption is reshaping how organizations innovate. It’s also driving cloud costs higher. CloudZero’s State Of AI Costs In 2025 report finds that for mature FinOps and engineering leaders, visibility into AI costs is a critical first step, but it’s not enough. To enable fast, responsible AI and machine learning innovation at scale, teams need pragmatic, flexible guardrails. They don’t need rigid budgets or knee-jerk shutdowns that slow progress or push teams into shadow ML.