SYSTEM Cited by 1 source
Rovo Chat¶
Atlassian's Rovo Chat is the user-facing AI assistant product that lets Atlassian customers ask questions, run research, and take actions across Jira, Confluence, Bitbucket, Jira Service Management, Compass, and third-party connectors (Google Calendar, Google Drive, Slack, GitHub, Microsoft Teams).
Architecture evolution¶
-
Hybrid Orchestrator (2025) — hierarchical multi-agent: coordinator LLM decomposes query → routes subtasks to per-product sub-agents (JiraAgent, ConfluenceAgent, BitbucketAgent, etc.) → combines summaries. Optimised for 2–5 step tasks. Limited by lossy hand-offs, shallow iteration budget, conservative timeouts.
-
Long Horizon (2026) — single-LLM, single-context, iterative reasoning loop. Up to 150 iterations, 20-minute timeout. Flattened tool surface + progressive disclosure + context compaction + child instances for parallel research. See systems/atlassian-long-horizon for full architecture.
Capabilities¶
- Cross-product research (Jira + Confluence + Slack + Bitbucket + ...)
- Multi-step planning and execution
- 14+ pre-authored skills for common task types (sprint planning, bug triage, performance review, competitive analysis)
- Adaptive reasoning effort (simple lookups vs deep research)
- Real-time streaming progress updates during reasoning
- Task decomposition into parallel child instances
Seen in¶
- sources/2026-06-18-atlassian-long-horizon-reasoning-engine — canonical Long Horizon architecture post.
Related¶
- systems/atlassian-long-horizon — the reasoning engine powering Rovo Chat
- systems/rovo-dev — sibling AI agent for development workflows
- systems/atlassian-ml-studio — platform serving Rovo models