Smarter Code Reviews with AI in Bitbucket

Enhance your pull requests with AI-powered insights, suggestions, and static code analysis directly in Bitbucket. Improve code quality, catch issues faster, and help your team review with confidence.

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Run Reviews Faster With AI

Inconsistent code reviews slow teams down and let issues through. Code Review Assistant brings AI analysis and static insights into every Bitbucket pull request.

See Code Issues During Pull Request Reviews

View compiler warnings, code linter findings, and dependency vulnerabilities directly in Bitbucket pull requests. This brings static analysis results into the code review view so reviewers can identify issues before merging.

Get AI Assistance During Code Reviews

Use the optional AI Review Assistant to help draft pull request titles and descriptions or ask questions during code reviews. Conversations with the AI can be documented directly within the pull request.

Review Security and Dependency Risks Early

Display dependency check results from CI builds within pull requests, including links to CVE reports. This helps teams identify vulnerabilities and software component risks as part of their review process.

Simplify Legacy Code

Ask AI to explain complex legacy code directly within a pull request, so reviewers spend less time deciphering unfamiliar code.

Broad Language Support

Display static analysis results across Java, PMD, ESLint, and more, covering the most common code linters and compiler warnings.

Minimal Setup

No configuration needed in Bitbucket itself. Just execute your compilers and linters in your CI build, and see vulnerability results appear in pull requests.