Actions Performance Metrics are generally available and Enterprise-level metrics are in public preview

Performance Metrics for GitHub Actions are now generally available for repositories and organizations. Repository members can view workflow and job performance data including queue times and failure rates going back as far as one year. Organization members can also view this data aggregated across all repositories in their organization. These metrics are available on all GitHub Cloud plans.

In addition, usage and performance metrics aggregated at the Enterprise level are now available in public preview to Enterprise admins. This includes usage metrics (ex. jobs run and minutes used), as well as performance metrics (ex. job failure rates and queue times) across all repositories and organizations in an enterprise. These metrics can be found in the Enterprise UI under the “Insights” tab.

Screenshot of Enterprise Actions usage metrics in the Enterprise Admin UI

Developers can now use Dependabot to automatically keep their uv dependencies up to date. For projects that use uv as a package manager, Dependabot version updates can now ensure dependencies stay current with the latest releases.

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GitHub Copilot now features instant semantic code search indexing, dramatically reducing the time it takes for Copilot to understand and reference your codebase.

What’s changed

Previously, when you wanted GitHub Copilot to reference your repository’s code in its responses, the semantic code search indexing process would take approximately five minutes to complete. With this update, indexing now completes in just a few seconds in most cases, though it may take up to 60 seconds. This means you can get contextually-aware Copilot assistance almost immediately after opening a repository.

Why this matters

Semantic Code Search is one of GitHub Copilot’s most powerful capabilities, enabling GitHub Copilot to:

  • Provide responses specific to your codebase’s architecture and patterns.
  • Reference existing functions, classes, and implementations in your repo.
  • Suggest code that aligns with your project’s style and conventions.
  • Answer questions about your codebase with accurate, context-aware information.

With instant semantic code search indexing, there’s virtually no waiting period between opening a repository and receiving codebase-aware AI assistance, making your development workflow more efficient and interruption-free.

How it works

Semantic code search indexing is automatically triggered when you open GitHub Copilot Chat on github.com. For VS Code users with the GitHub Copilot extension, you can also manually trigger indexing through the Copilot UI if needed.

Availability

This feature is available to all GitHub Copilot users across all tiers, including the free tier. There are no limits on how many repositories can be indexed.

Learn more

For detailed information about repository indexing for GitHub Copilot, check out our documentation.

Join the discussion within GitHub Community.

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