Let’s be real: DevOps at scale is still messy. Teams are moving faster, working across an ever-expanding surface area, and juggling more responsibility—shipping code while also owning security, reliability, and cost.

Yes, AI has sped up everyday work and made individual developers more productive. However, it’s when AI stretches past the inner loop – the coding, building, and testing phases — that the Ws really start piling up. With AI integrated across the software delivery lifecycle, teams can reduce manual work, smooth out handoffs, and stay aligned—so developers can spend less time on process and more time vibe coding 😎.

Atlassian is a Leader in DevOps

Jira and Bitbucket have long been a part of the dev toolkit, helping teams plan, track, and ship software. But we know the way developers work has changed, and Atlassian is evolving right alongside it.

What started as an agile project management and source code management tool is now a core part of Atlassian’s DevOps Platform, powered by the Atlassian Cloud Platform, integrated across your toolchain, and focused on improving software quality, speed, and the developer experience. Our recent AI investments add a powerful layer on top, turning data into real-time actionable insights, reducing toil, supporting decision-making, and improving the flow of delivery.

Today, I’m proud to share that Atlassian has been named a Leader in The 2025 Forrester Wave™: DevOps Platform Providers, Q2 2025 receiving the highest scores possible (5/5) across the Vision, Innovation, Roadmap and roadmap criteria, which we believe is a recognition of how far Atlassian has come and where it’s headed next.

Smarter DevOps, powered by Teamwork Graph, with all the left-of-code context

What sets our DevOps platform apart? The Teamwork Graph—a connected data layer that ties together work happening across all Atlassian and third-party apps. It gives dev teams (and the teams they work with) shared context, fuels AI experiences that help everyone move faster, and helps leaders align code to business impact.

In practice, that means fewer silos and smoother collaboration across outer loop use cases both left- and right-of-code. Dev and Ops teams can manage incidents, roll out changes, and track requests in perfect synchronization. Engineers get visibility into delivery performance with scorecards and automate the busywork with built-in CI/CD. Product teams can prioritize ideas, plan roadmaps, and go from discovery to delivery—all in one place.

rm -rf /silos && git commit -m "human collaboration unlocked".

And, thanks to the Teamwork Graph, our AI doesn’t just guess—it understands the interconnectedness of work happening across tools and teams. As Forrester put it in its report:

An AI-infused roadmap brings developer experience, compliance, and reliability together…

and

AI context sharing through the Rovo product is excellent.

Looking ahead: Putting devs in the driver’s seat of an agentic SDLC with Rovo

Bringing the magic of human-AI collaboration to every team

At Team ’25, we introduced the next evolution of our AI app, Rovo, with agents designed specifically for software teams that will streamline work from idea to deployment.

These new AI agents will help teams:

  • Accelerate planning by generating technical plans using data from Jira and Confluence via the Teamwork Graph.
  • Save time by implementing bulk actions, such as automatically generating unit tests and instrumentation across the relevant repo files, and even raising ready-for-review pull requests (PRs).
  • Improve PR quality and velocity with smart feedback that checks against Jira acceptance criteria and SCM code standards, catching issues early to minimize rework.
  • Streamline deployment on Bitbucket Cloud with agents like the Pipeline Troubleshooter and Deployment Summarizer, providing clear diagnostics and release insights.

Atlassian’s vision aims to simplify the development process with AI agents.

– The Forrester Wave™: DevOps Platforms, Q2 2025
Introducing Atlassian’s Remote Model Context Protocol (MCP) Server

We’re also making it easier to integrate AI into any workflow. Our new Model Context Protocol Server lets teams interact with Jira and Confluence data through Claude, Anthropic’s AI assistant, so developers can stay in flow, no matter where they work.

And we’re just getting started—more agent-powered experiences are on the way.

Explore the report

We believe being named a Leader in the 2025 Forrester Wave for DevOps Platforms is more than a milestone—it reflects our commitment to helping software teams do their best work every day.

There’s more to come as we continue to rapidly innovate in this space. A huge thank you to our amazing customers, partners, and teams. You inspire everything we build.

Access The Forrester Wave™: DevOps Platforms, Q2 2025 report here.

Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity here.

Atlassian named a Leader in the 2025 Forrester Wave™ for DevOps Platforms