Atlassian Intelligence in Bitbucket does not automatically enrich commits and PRs with data from Jira, Confluence, or other Atlassian products. Its current capabilities focus on analyzing code changes and commit messages within Bitbucket itself. However, cross-product data integration is available through Rovo, a separate Atlassian AI product.
Atlassian Intelligence in Bitbucket analyzes your code changes and commit messages to generate pull request descriptions. Key features include: atlassian
- AI-generated PR descriptions: Automatically creates summaries based on code diffs and commit messages atlassian
- Generative AI editing: Assists in editing and enhancing the tone of code review comments atlassian
- Code review acceleration: Helps reviewers understand PR intent with AI-powered summaries, reducing back-and-forth explanations linkedin
These features are available in Bitbucket Premium plans. atlassian
For true cross-product enrichment, Atlassian offers Rovo, which is distinct from standard Atlassian Intelligence. Rovo provides: support.atlassian
- Cross-product data access: Combines data from Jira, Confluence, Bitbucket, and third-party apps support.atlassian
- Teamwork Graph: Maps relationships between projects, people, and documents across connected apps eesel
- Unified search and chat: Allows natural language questions that pull consolidated answers from multiple sources eesel
- AI agents: Can automate tasks using data from across your Atlassian and connected apps support.atlassian
For example, you can ask Rovo to summarize Jira sprint data in Confluence or retrieve a Jira issue along with linked PRs and Slack discussions in a single answer. linkedin
Atlassian's roadmap indicates AI can summarize information related to Pipelines deployments, including Jira issues and commits—suggesting some cross-product context is being developed for deployment workflows specifically. atlassian