As part of our product strategy to build for scale, security, and compliance, Bitbucket Cloud is continuing to invest in features that help enterprise teams operate at scale and build world-class software. In this blog, we'll share some of our recently shipped features and five exciting features we have lined up for you.

As part of our focus on building features around team scale and performance, we are happy to announce that Bitbucket Pipelines now supports sharing of CI/CD configurations across repositories. This feature is now available as part of our Premium plan. With this feature, your teams can create centralized pipelines yml workflows and import that workflow to other repositories in your workspace. This brings several benefits: Here’s how it works.

AI tools have taken the world by storm. In April, we announced Atlassian Intelligence to bring the power of AI into our tools. Leveraging AI through internal models and our collaboration with OpenAI, Atlassian Intelligence will be built into the Atlassian suite of tools, including Bitbucket Cloud.

Whether you're the author of a pull request or a code reviewer, it's important to focus on what matters, while making sure you don't miss any important feedback from your teammates. This is especially true when you're making a return visit to a pull request, and you want to pay the most attention to any sections of the PR with unresolved comment threads.

We are excited to announce that Bitbucket Pipelines now supports Linux Docker ARM self-hosted runners. The new runner type supports running pipelines on your own ARM infrastructure, allowing you to build and test your code on a wider range of platforms.

We are making git blame feature more discoverable on the Bitbucket Cloud UI. A very useful feature of git, git blame has been available on the Bitbucket Cloud UI for years. Similar to how git blame works with git, on Bitbucket Cloud it annotates each line in the given file with information from the commit which introduced the line.