Bitbucket Cloud introduces a feature allowing reviewers to mark pull request files as viewed, helping developers focus on files needing attention and accelerating review completion.
- Files can be marked as reviewed and automatically collapsed
- Iterative review minimizes redundant file reviews on new commits
- Support added for attaching all file types, including videos, to PRs
What happened
Bitbucket Cloud has launched a set of features that improve the pull request review experience for developers and teams. Among these is the ability to explicitly mark files as 'viewed' during a review, which collapses those files in the pull request view. This helps reviewers concentrate only on the files that still require their attention. The system remembers which files have been marked as viewed even when the reviewer leaves and returns to the PR.
Additionally, when new commits are pushed to the branch modifying previously viewed files, Bitbucket automatically resets the viewed status for those files to ensure they are re-reviewed. A progress bar at the top of the pull request page provides a visual indicator of how much reviewing remains. Bitbucket has also enabled teams to attach any type of file, such as screen recordings, to pull requests to enhance communication and demonstration of changes.
Why it matters
Code reviews are critical for maintaining software quality, but they can be time-consuming and prone to overlap, especially with multiple commits and reviewers involved. The new 'mark as viewed' feature helps reviewers avoid redundant work by clearly distinguishing which files need further scrutiny and which do not. This can significantly reduce review fatigue and focus attention on outstanding issues.
Iterative review features further speed up the process by preventing reviewers from having to re-check files unnecessarily when new commits are made. Together with the ability to upload rich media and any file type, Bitbucket is enhancing collaboration clarity and efficiency, which ultimately helps teams deliver better software faster.
What to watch next
Attention will likely turn to how teams adopt these new Bitbucket Cloud features and what impact they have on review turnaround times and code quality outcomes. User feedback and metrics may guide further enhancements or integration with AI-assisted review tools that Bitbucket is also exploring.
It will also be interesting to see if similar capabilities gain adoption across competing code hosting and review platforms, potentially setting a new standard for user experience during software reviews. Developers and teams should explore and provide input on these features to help shape their evolution.