Shadow IT is defined as the use of IT-related hardware or software by an individual without the knowledge of the IT admin. For example, if a user creates a new Bitbucket Cloud workspace within your organization without the knowledge of the organization admin, it can lead to potentially sensitive data being exposed.

By popular demand, we are happy to introduce several new strategies for syncing and merging branches in Bitbucket Cloud. Our goal is to provide you the full functionality of rebase and merge within the Bitbucket UI to help you manage your Git history according to your team's preferences. These new options have been among our most highly voted feature requests. In brief, here's what we've added.

In this blog, we walk through Atlassian's cloud security practices and the controls we give you inside Bitbucket to maintain enterprise-grade security, without the overhead of managing it internally. Security is an essential part of Atlassian's offerings. We manage code and data for over 300,000 customers who serve hundreds of millions of users. To secure data at the scale we operate, we invest more in security than most individual organizations can.

As part of our strategy to build for scale, security, and performance, Bitbucket Cloud is continuing to deliver features that help enterprise teams operate at scale to build world-class software. We've made a lot of progress this year with new features across code review and CI/CD. We've added AI functionality, added features to help you scale your CI/CD workflows, and integrated with Forge, our cloud app development platform, to help you build customizations into Bitbucket to meet your specific needs.

Pull requests are a core feature of Bitbucket Cloud, serving as the hub where code contributions are reviewed, discussed, and approved before being merged into the codebase. Initially, developers focused on ensuring that proposed changes were bug-free, adhered to correct code styling, and included appropriate tests. Over time, the role of pull requests has expanded to act as a checkpoint, ensuring that only high-quality and compliant code reaches production.

Hello, Bitbucket Cloud Community! We are incredibly excited to announce the introduction of Iterative review, a feature designed to help your team get pull requests completed faster by removing the need to re-review code you've already seen. Now when an author pushes new commits based on your pull request (PR) feedback, you'll have the option to focus on just those new changes.

We recently gave you a preview of some exciting changes coming to Bitbucket Pipelines with the release of our next-generation CI/CD runtime. This new runtime will act as the foundation for a range of powerful new future capabilities like ARM and multi-arch builds in cloud, and we're excited to announce that this new runtime is available starting today.

The code insights functionality in Bitbucket Cloud provides a variety of reports, annotations, and metrics to help your team have full context during the code review process. With code insights, you can automatically have artifacts such as static analysis reports, security scan results, artifact links, unit test results, and build status updates appear in your pull request screen so reviewers have access to all reports and statuses before they approve the code change.

Here at Bitbucket Cloud, we are focused on helping you and your teams have the best possible experience for code review. That's why we continue to add features like batched comments, marking files as viewed, AI-assisted pull request descriptions – and coming very soon, iterative reviews. We also want to give you the best possible experience navigating a pull request, which is why we're proud to be introducing a brand-new layout for pull requests.