Release Update 07/25/2025

SDLC

Automatic Commit Mapping Branch for Rewritten Commits in LFS-Enabled Migrations

Handling of rewritten commits during SCM-to-SCM migrations with Large File Storage (LFS) enabled, is now improved.

Whenever commits are rewritten, a dedicated branch is automatically created in the target repository containing a commit mapping CSV file. This file documents both the “Original Commit SHA” and the corresponding “Rewritten Commit SHA,” providing users with an accessible, permanent reference for tracking commit changes.Full mapping history is instantly available, streamlining post-migration validation and review.

Key Values:

• Easily map original commits to rewritten commits within the repository.

• Validate migrations quickly without hunting for external reports.

• No need to manage separate mapping files, as all data is version-controlled in the repo.

Note: This currently applies to SCM-to-SCM migrations between Gerrit and GitHub and from GitLab to GitHub.

Insights

Enhanced Copilot Dashboard Reporting

The Copilot Contribution report offers a comprehensive view of development activity across your organization.

It seamlessly integrates metrics from all developers, regardless of Copilot usage and captures every commit, whether or not it was made during an active Copilot session. This ensures a complete and accurate representation of code contributions, providing deeper insights into your team’s productivity and the overall impact of Copilot adoption.

Key Enhancements:

• New Column: Total Lines Written Shows total lines of code written by all developers—Copilot and non-Copilot combined.

• Renamed Column: Total Lines Written by Copilot Users Previously labeled "Total Lines Written", explicitly reflects Copilot-only contribution.

• Language Usage Breakdown Across Entire Organization Language metrics apply to all contributors, with a detailed breakdown per language showing:

  • Total lines written

  • Copilot-written lines

  • Copilot-suggested lines

  • Copilot-accepted lines

  • Suggestion rate (%) and acceptance rate (%)

Key Values:

• Provides greater visibility into total developer output, enabling better decision-making on Copilot adoption impact.

• Brings clarity between Copilot vs non-Copilot productivity.

• Supports language usage tracking, regardless of Copilot use, helping in strategic tooling and training investments.

Introducing Code Coverage Trend Overview Chart

The Code Coverage Trend Overview Chart has been added to Code Reliability dashboard to provide teams with clear visibility into their code coverage performance over time. The chart tracks the average code coverage percentage based on the latest scans within a selected timeframe. Teams can instantly compare actual coverage against a 100% benchmark, set and monitor your team’s custom coverage targets, and explore daily trends, all with powerful filters to focus on specific projects or branches.

Key Value

• Empowers teams to track progress toward coverage goals and quickly identify gaps.

• Facilitates targeted quality improvements with project- or branch-level insights.

• Enhances confidence in releases by making coverage metrics transparent and actionable.

Export JUnit Test Execution Results Metrics to CSV

CSV export functionality is supported for JUnit drill-down tables, making it easier for teams to analyze, share, and report on test results.

This export includes combined data from all pipelines, along with key fields such as Pipeline Name, Step Name, and Run Count, providing a comprehensive view of test execution across your CI workflows. This capability improves traceability, streamlines reporting, and supports better integration with external tools and offline analysis.