Atlassian’s Bitbucket Cloud has launched a new feature allowing users to explicitly mark files as reviewed during pull request workflows. This enhancement collapses viewed files to help reviewers concentrate on remaining changes, improving review efficiency and clarity.
- Mark files as viewed to collapse reviewed code during pull requests
- Viewed file states reset if new commits change those files
- Progress bar shows review completion status
What happened
Bitbucket Cloud has introduced a feature that allows users to mark files within a pull request as reviewed. When a file is marked as viewed, it automatically collapses to reduce visual clutter, enabling reviewers to focus on files that still require attention. This feature streamlines the pull request review process by providing a clear separation between reviewed and unreviewed content.
The platform remembers the state of each file marked as viewed so that when a reviewer returns to the pull request, previously reviewed files remain collapsed. Importantly, if any new commits modify these viewed files, Bitbucket resets their viewed status to prompt a re-review, maintaining code integrity throughout the iterative development process.
Why it matters
Code review is critical for software quality but can become overwhelming when handling large pull requests with many changed files. This new feature addresses a common pain point by helping developers manage their workflow better. By marking files as viewed and collapsing them, reviewers can more easily track what they have completed, reducing cognitive load and speeding up the review cycle.
Additionally, the progress bar at the top of the pull request interface provides a visual indicator of how much of the code change has been reviewed, which helps individuals and teams monitor their review progress. This can lead to faster merges and more efficient development cycles, ultimately improving overall team productivity.
What to watch next
Bitbucket Cloud continues to evolve its code review experience by also introducing features like iterative reviews, AI-assisted pull request descriptions, and the ability to attach any file type to pull requests, including screen recordings. These enhancements are designed to support more effective collaboration and communication within development teams.
Users and teams should monitor how these features improve their code review workflows and provide feedback to Atlassian through the Bitbucket Cloud help menu. Future updates may further refine the review process based on community input and advancing AI capabilities to optimize developer experience.