Find code faster: Introducing our new & improved search experience
Atlassian has launched an open beta for a rebuilt code search feature in Bitbucket Cloud, offering faster, integrated access to repository code with syntax highlighting and filtering tools.
Atlassian has introduced a rebuilt code search feature for Bitbucket Cloud in open beta, designed to streamline how developers locate code across repositories. The new tool provides a dedicated full-page results view with syntax-highlighted matches, allowing users to scan logic quickly without disrupting their workflow. Accessible via a single global entry point, the search can be initiated with a slash key, offering a more intuitive experience compared to previous iterations. The update aims to address common developer needs such as exploring unfamiliar codebases, investigating incidents, or auditing API usage.
The updated search experience includes keyboard shortcuts for navigating results, such as the slash key for opening search, arrow keys for moving through entries, and Enter to open files. Users can narrow results using filters like repo:, lang:, or path:, which provide suggestions to refine queries. The feature is rolling out progressively across Bitbucket Cloud workspaces, with indexing required before availability. A quick onboarding guide accompanies the rollout to help users maximize the tool’s capabilities.
Atlassian emphasizes the reliability of search results, noting that the rebuilt code search prioritizes trustworthy outcomes. The company highlights practical use cases, such as finding error sources or locating function definitions across repositories. The feature is positioned as a response to developer feedback, particularly the demand for more efficient ways to search through code. The open beta invites users to test the tool and provide feedback via the search results view.
The announcement follows the earlier release of code-aware search, which ranks definitions over usages or variables. Atlassian has also published a Bitbucket Cloud code search API, extending the functionality to machines. The API mirrors the features available in the user-facing search, enabling automated access to code search capabilities for integration with other tools or workflows.