AI product
Rovo Dev is Atlassian's AI coding agent for software teams. It plans, generates, and reviews code through a terminal, IDE, Bitbucket, and GitHub, using context from Jira items, Confluence, connected code, documents, and organizational decisions in a sandboxed container. It supports planning and autonomous development, code search, context verification, model and agent selection, deterministic checks, AI review, human review, pull-request interaction within Jira, breaking epics into smaller issues, selecting suitable backlog work, managing review capacity, and clarifying underspecified requirements. Its standards workflow turns engineering standards written in Markdown, such as design-token rules, into reusable code-review rules for selected repositories or repository patterns, enforcing them by posting comments on pull requests.
4 uses taken from transcripts — each links to the moment in the video.
Atlassian's native coding agent (JCA) with deep organizational knowledge of the Atlassian ecosystem. It reads Jira tickets, Confluence docs, email and Slack to plan and implement a ticket in a full sandbox, interact with pull requests inside Jira, break epics into smaller issues, and can be assigned alternative agents like Claude, Cursor or Codex.
Atlassian's native coding agent with deep organizational context; plans and implements Jira tickets inside a proprietary sandboxed container with Docker, and can break epics into smaller issues.
Centralized management of engineering standards (e.g. design token enforcement) written in Markdown, applied to selected repositories or repository patterns and enforced via comments on pull requests.
Atlassian's agentic SDLC platform where the coding agent, standards, AI review, planning and autonomous development live. Teams shape the software development lifecycle around their own standards, context and capacity.
1 in the library.