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Release Notes - October 2025

Improved quality metrics, cleaner code reviews, stronger security and Git integration control

Karina Ung
Updated by Karina Ung

Clearer visibility into identified bugs and issues

The metrics dashboard for LinearB AI Review now tracks the total number of identified bugs and issues instead of the number of PRs with bugs and issues.

  • Metrics labeled “PRs with Identified Bugs” and “PRs with Identified [Security, Performance, Readability, Maintainability, Scope] Issues” are replaced with “Identified Bugs” and “Identified [Security, Performance, Readability, Maintainability, Scope] Issues.”
  • Each trend line now supports drill-downs, displaying PRs, repositories, and issues associated with that data point.

The previous metrics tracking PRs with identified issues remain available as predefined options when creating a custom dashboard. Learn more about findings in the Metrics Dashboard for LinearB AI Reviews.

Cleaner AI PR reviews for quicker fixes

AI Code Review now delivers cleaner, more focused feedback by:

  • Grouping comments by commit, rather than across multiple comments.
  • Automatically prioritizes the most critical issues first if multiple findings are detected.
  • Filtering out repeated comments on the same issue.

Learn more about AI Code Reviews using LinearB’s AI. 

Delete unused Git integrations

You can now delete unused Git integrations or remove inactive repositories directly in Company Settings > Git. This update enhances data accuracy, reduces noise from inactive repositories, and improves security by limiting access to select codebases.

OPA v4.0.7 upgrade

The OPA component now runs on v4.0.7, simplifying installation and strengthening default security settings. The new version reduces manual configuration and enforces a safer default policy, enabling faster and more secure deployments.

Kubernetes Secrets support

We now support Kubernetes Secrets to securely store sensor credentials and configuration tokens. This update improves DevOps security by aligning with native Kubernetes Secrets management best practices.

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