Atlassian gives Rovo AI a major upgrade and developers new tools – News

Atlassian Corp. today unveiled a major expansion of its artificial intelligence assistant, Rovo, adding new “AI-powered skills” and developer tools aimed at bringing generative AI deeper into enterprise workflows.

Atlassian framed the update as a reintroduction to Rovo, which debuted in May 2024. The assistant is gaining new intelligence and showing up in more corners of the company’s ecosystem.

Rovo is powered by Atlassian Intelligence, a generative AI offering introduced by the company in 2023 that built AI enhancements into the company’s products, and the Teamwork Graph, a constantly updating map of billions of connections providing contextual, personalized responses about company knowledge.

It will soon be available on desktop and mobile, extending its reach beyond Atlassian’s core apps so users can get help wherever they work. The assistant is already included in Jira, Confluence and Jira Service Management subscriptions, and now it’s available in Focus, Bitbucket, Home, Talent and Jira Product Discovery. The assistant also has a browser extension, allowing users to access information and data in third-party tools across the web.

Rovo Chat is a chatbot capability that integrates intelligence directly into apps, allowing users to interact with data. It has gained several new features, including a canvas, personal memory and over 100 out-of-the-box skills.

With Canvas, users get a new collaborative work surface within Chat where Rovo can create, edit and refine ideas through conversation. Teammates can also join in on updating Canvas with Rovo — making it possible for multiple users to work on the same document using AI skills at the same time. Personal memory will allow the AI assistant to remember preferences and keep them in mind for the next project, allowing it a longitudinal view of what users have been working on and how it might affect their current project.

“I recently began using Atlassian’s Rovo, and it’s been a fantastic experience,” Mikael Sandberg, a senior application analyst at medical device company Arthrex Inc. “As someone keen on enhancing customer experience, the tool’s ability to streamline workflows and automate tasks has been invaluable.”

Rovo Studio, the company’s workshop for users to build custom AI agents and automations, has been upgraded to give users the ability to produce next-level agentic AI capabilities for sophisticated scenarios by combining multiple skills, which are the internal functionality of the AI assistant. Soon, using Model Context Protocol, capabilities from third parties will become available, including from GitHub Inc., Figma Inc., Box Inc. and HubSpot Inc.

Atlassian said users will receive even greater control and insight into agent behavior with fine-grained permissions, conversation logs and custom evaluations. Users will be able to track and understand real-world conversations to refine agentic actions and outcomes using built-in analytics and performance monitoring alongside comprehensive testing.

Studio will now allow users to deploy with Automations, a way to embed agents directly into team workflows. They include conditional branching to enable complex, multipath workflows that can run independently for days or weeks, while human-in-the-loop controls keep workers in charge.

Atlassian delivers for the software development lifecycle

Today Atlassian also announced the Software Collection, a suite of AI-powered tools to assist developers during their journey to make great applications.

The suite includes Rovo Dev, now generally available; Bitbucket Pipelines to automate building, testing and deploying software; Bitbucket to manage source code collaboratively; Compass, a unified catalog that manages software component ownership and standards; and DX, which Atlassian recently acquired, to provide real-time insights into developer productivity and system health, while also measuring AI adoption and impact.

Rovo Dev acts as a context-aware AI agent that can answer questions, build code and work behind the scenes on large-scale projects by understanding a company’s goals, projects and scale of code. It connects to Jira, Confluence, Bitbucket and Compass to bring business context, documentation, tickets and code history together into one platform.

Atlassian said the AI coding agent can automate routine work, such as fixing bugs, building simple features and refactoring, to allow developers to work on complex, strategic capabilities.

A few Rovo Dev capabilities available today include a command-line interface that works directly in the developer terminal, automated code reviews that operate on acceptance criteria in Bitbucket and GitHub. The agent is capable of debugging and fixing code by addressing build failures automatically.

Atlassian announced that Rovo Dev is coming to Jira, allowing developers to assign coding tasks in tickets and let Dev handle them from start to finish.

Image: Atlassian