DEVOPSdigest

AI capabilities are now generally available across Jira Software, Confluence, Jira Service Management and more.

Capabilities available include

- Generative AI in the editor: Instantly create user stories within Jira Software tickets, change the tone on a customer response from factual to empathetic within Jira Service Management, or generate a starting point for a test plan in Confluence.

- AI-powered summaries: Get up to speed on any topic in Confluence with AI generated summaries, and summarize issues to quickly resolve incidents in Jira Service Management.

- Natural language automation: Automate actions quickly using natural language in Confluence. (Coming soon to Jira Software)

- AI definitions (beta): Demystify company-specific concepts, jargon, or acronyms on the spot with Atlassian Intelligence in Confluence. Coming soon to Jira Software and Jira Service Management.

- Natural language to JQL: Use natural language to more easily and quickly find issues and their dependencies, even those requiring complex JQL queries, in Jira Software or Jira Work Management.

- Natural language to SQL: Expand access to robust insights in Atlassian Analytics beyond data science teams so every team member can ask questions that lead to a deeper understanding of key business metrics like project execution trends, customer support velocity, or team health.

- Q&A search in Confluence (beta): Move beyond simple search results to find actionable information by asking questions about the status of projects, key workflows, policies, or processes. Now in beta in Confluence.

- Q&A search in Compass (beta): Reduce time spent looking for information across your microservices, systems, and teams, by asking questions in natural language about your technology stack to get specific answers about components and deployments.

- Request type suggestions: AI can help Jira Service Management admins create request types with just a few words of prompting. Quickly stand up a service project for anything, from requesting a research participant gift voucher to raising a health and safety check in the manufacturing process – or even submitting a VIP request to the events team for Taylor Swift’s global tour.

- Bitbucket code reviewer: AI will review pull request diffs and leave comments automatically with suggested changes around syntax and code conventions so human reviewers have more time to examine critical changes. Software developers will also be able to autogenerate PR descriptions from commit messages, providing valuable context to the changes.