See how Loom’s new AI bug reports and Jira work item updates help teams capture context, cut status meetings, and keep projects moving forward.

Atlassian provides insights into software development collaboration, project management, and team productivity, offering documentation, tutorials, and best practices for using Atlassian's suite of tools, including Jira, Confluence, and Bitbucket. By exploring Atlassian's curated content, developers can learn about agile methodologies, version control workflows, and continuous integration practices for managing software development projects effectively. Whether you're working in a small startup or a large enterprise, Atlassian offers resources to streamline your collaboration and drive project success.

Atlassian

Atlassian has announced new AI-powered workflows connecting Loom with Jira. The first feature is an enhanced bug reporting mode in the Loom Chrome Extension that automatically captures technical context (browser info, device data, network logs, console output) and converts it into a dev-ready Jira work item. The second feature, coming soon, is AI-suggested Jira work item updates derived from Loom meeting recordings, allowing teams to automatically sync meeting decisions and action items to their Jira boards without manual follow-up. Both features aim to reduce status meetings and administrative overhead.

Turn Loom meetings and bug reports into Jira work with AI

Turn Loom bug reports and meetings into dev-ready work

Richer bug reports, with technical context built in

Turn meetings into progress without the follow-up admin