Over the past yr, Atlassian has been introducing numerous AI enhancements throughout its merchandise to assist customers be much more productive, equivalent to generative AI in Confluence and Jira, solutions on methods to break down massive initiatives, and AI generated automation guidelines.
Moreover, earlier this yr, the corporate introduced Atlassian Rovo, a generative AI software for extra simply accessing enterprise information. Now, Rovo is formally usually accessible.
Atlassian Rovo permits firms to look throughout all of their enterprise information and apps, together with third-party ones.
Customers can then acquire deeper insights from that information by utilizing the chat performance or looking the routinely generated information playing cards that present a snapshot of particular details about initiatives, targets, new teammates, and extra. Rovo Chat additionally is obtainable as a browser extension to provide extra particular assist when working inside a sure webpage, like asking questions on a selected Google Doc.
And eventually, Rovo Brokers are like specialised “teammates you may pull into your workflow” to help with numerous duties, like producing advertising and marketing content material, integrating UX analysis into Jira specs, or cleansing up Jira backlogs. Clients can create their very own brokers utilizing a no-code interface, or make use of Atlassian’s 20 out-of-the-box brokers.
There’s additionally a GitHub Copilot extension for Rovo, which might present context about targets, groups, initiatives, design specs, latest deployments, and extra, all inside GitHub Copilot.
In keeping with Atlassian, beta clients utilizing Rovo noticed a mean of 1-2 hours saved per week.
Along with Rovo, Atlassian additionally simply introduced AI Brokers, which for now are in early entry. AI Brokers are designed to cut back friction in growth workflows by serving to with non-coding duties. They will generate code plans, code suggestions, and pull requests primarily based on descriptions, necessities, and enterprise context, for instance.
“Immediately, AI assists in code completion, however isn’t addressing nearly all of duties that get in the best way of growth velocity and high quality, like getting began on a activity with unfamiliar necessities, trying to find info, or ready for pull requests to be reviewed. We’re trying to change all that with our new dev-focused AI Brokers,” Atlassian wrote in a weblog put up.
The corporate additionally introduced numerous AI enhancements throughout its different merchandise, like in Jira Service Administration, which now leverages AI to group associated alerts, recommend assets and SMEs, summarize particulars of points, seize key timeline occasions throughout an incident, and generate post-incident critiques.
Moreover, the Jira Service Administration digital service agent, which was beforehand solely accessible in Slack, is now built-in within the assist middle, Microsoft Groups, and e-mail. There’s additionally now an embeddable widget for exterior buyer help.
And eventually, after buying the video messaging software Loom final yr, Atlassian has additional built-in it into Jira and Confluence. Clients can now generate paperwork in over 50 languages, create bug reviews from Loom movies, and fill in Jira points from a screenshot from a Loom video.
