Over the past yr, Atlassian has been introducing plenty of AI enhancements throughout its merchandise to assist customers be much more productive, similar to generative AI in Confluence and Jira, ideas on easy methods to break down massive tasks, 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 allows firms to go looking throughout all of their enterprise knowledge and apps, together with third-party ones.
Customers can then achieve deeper insights from that knowledge through the use of the chat performance or shopping the routinely generated information playing cards that present a snapshot of particular details about tasks, objectives, 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 particular Google Doc.
And at last, Rovo Brokers are like specialised “teammates you possibly can pull into your workflow” to help with numerous duties, like producing advertising content material, integrating UX analysis into Jira specs, or cleansing up Jira backlogs. Prospects can create their very own brokers utilizing a no-code interface, or make use of Atlassian’s 20 out-of-the-box brokers.
There may be additionally a GitHub Copilot extension for Rovo, which may present context about objectives, groups, tasks, design specs, latest deployments, and extra, all inside GitHub Copilot.
In response to Atlassian, beta clients utilizing Rovo noticed a median 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 improvement workflows by serving to with non-coding duties. They’ll generate code plans, code suggestions, and pull requests primarily based on descriptions, necessities, and enterprise context, for instance.
“At this time, AI assists in code completion, however isn’t addressing nearly all of duties that get in the best way of improvement velocity and high quality, like getting began on a job with unfamiliar necessities, looking for 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 submit.
The corporate additionally introduced plenty of AI enhancements throughout its different merchandise, like in Jira Service Administration, which now leverages AI to group associated alerts, recommend sources 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 heart, Microsoft Groups, and electronic mail. There may be additionally now an embeddable widget for exterior buyer assist.
And at last, after buying the video messaging software Loom final yr, Atlassian has additional built-in it into Jira and Confluence. Prospects can now generate paperwork in over 50 languages, create bug experiences from Loom movies, and fill in Jira points from a screenshot from a Loom video.