Hi DevOps community!
We’ve got some new resources this month to help your teams streamline software delivery, including new AI features beyond code creation, ways to scale compliance and code quality, and some new videos showing off Bitbucket Pipelines' special sauce in action—Dynamic Pipelines.
Rovo Dev is now generally available! So what can you do with it?
In this blog—Reimagining software delivery with AI-powered workflows in Jira & Bitbucket—we walk through how Rovo Dev can transform workflows before and after code, including:
Fix routine issues faster by generating code directly from a Jira task
Speed up review cycles with AI-powered code suggestions based on your organization's code policies
Troubleshoot build failures without sifting through hundreds of lines of logs
And coming soon, agentic CI/CD in Bitbucket Pipelines
Check out the details and try Rovo Dev for yourself.
Interested in scaling compliance and code quality?
Bitbucket’s Head of Engineering, Sean McLucas, walks through how to use Bitbucket to power compliance and code quality at scale. In his blog, Sean goes over ways to secure access to your team’s code, setting up change management with Jira and Jira Service Management, and ensuring that all pipelines meet enforced governance and compliance rules with Dynamic Pipelines.
Speaking of dynamic pipelines:
We just released a new video showing the advanced ways you can configure Dynamic Pipelines to improve performance and reduce build costs.
Haven’t used Dynamic Pipelines? Watch our introductory video and see how your can team can use Dynamic Pipelines to programmatically alter Bitbucket Pipelines (per repo, or all repos in a workspace) to automatically include new steps, update steps, and more.
Have you tried Rovo Dev yet? Give it a shot and let us know your thoughts and questions below.
How is AI transforming your DevOps workflows?
Dan Hom
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