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Archive: 2026 - GitHub Changelog

MAI-Code-1-Flash for Copilot Business and Copilot Enterprise - GitHub Changelog GitHub Desktop 3.6: Worktrees and deeper Copilot integration - GitHub Changelog Copilot code review: Analysis depth and efficiency updates - GitHub Changelog Enterprise-managed settings now support strictKnownMarketplaces in VS Code and GitHub Copilot CLI - GitHub Changelog Saved views for repository issues - Public Preview and adjustable row heights in projects - GitHub Changelog More control over your GitHub-hosted runners - GitHub Changelog Actions steps can now be run in parallel - GitHub Changelog npm adds preventive account protection for high-impact accounts - GitHub Changelog Red Hat Enterprise Linux runner images are now in public preview - GitHub Changelog GitHub Copilot for Jira is now generally available - GitHub Changelog Cost centers now support enterprise teams - GitHub Changelog Self-service credential revocation for incident response - GitHub Changelog Changes to model selection for Free and Student plans - GitHub Changelog Secret scanning adds extended metadata for Replicate secrets - GitHub Changelog Fetch Code Quality findings via REST API - GitHub Changelog Automatic Dependabot access to GitHub-hosted registries - GitHub Changelog Copilot CLI: New terminal interface is generally available - GitHub Changelog Deprecation of Python 3.9 for Dependabot - GitHub Changelog GitHub Copilot app support for BYOK - GitHub Changelog New features and Claude as agent provider preview in JetBrains IDEs - GitHub Changelog AI credits consumed per user now in the Copilot usage metrics API - GitHub Changelog Upcoming deprecation of Opus 4.6 (fast) - GitHub Changelog MAI-Code-1-Flash available on more Copilot surfaces - GitHub Changelog Copilot code review: AGENTS.md support and UI improvements - GitHub Changelog Detecting Duplicate Issues - Public Preview and issue fields MCP support for GitHub Issues - GitHub Changelog Copilot-authored pull requests now included in author searches - GitHub Changelog Repository switcher generally available in global navigation - GitHub Changelog Actions: Build custom images from custom images - GitHub Changelog Safer pull_request_target defaults for GitHub Actions checkout - GitHub Changelog Control who and what triggers GitHub Actions workflows - GitHub Changelog
Copilot usage metrics API adds cohorts for AI adoption
Allison · 2026-05-30 · via Archive: 2026 - GitHub Changelog

To help you tell a deeper Copilot adoption story—not just who is active, but how they’re using Copilot—the Copilot usage metrics API now classifies each engaged user into an AI adoption phase based on their Copilot product usage over a rolling 28-day window. A new ai_adoption_phase field is available on user-level reports, and a new totals_by_ai_adoption_phase array surfaces per-phase metrics on enterprise- and organization-level reports.

What’s new

Each engaged user is assigned to one of four phases based on the Copilot surfaces they’ve used on at least two days in the last 28-day window:

  • Phase 0 — No cohort: User did not meet the engagement criteria for any phase.
  • Phase 1 — Code first: User engaged with code completion and/or IDE agent mode.
  • Phase 2 — Agent first: User engaged with a single GitHub-based agent surface (i.e., Copilot cloud agent, Copilot code review, or Copilot CLI).
  • Phase 3 — Multi-agent: User engaged with two or more GitHub-based agent surfaces, or with the new GitHub Copilot app.

Each ai_adoption_phase value includes a version field (starting at v1) so the classification logic can evolve as Copilot’s product surface grows, without breaking historical context.

On the enterprise- and organization-level reports, the new totals_by_ai_adoption_phase array groups engagement and activity metrics by phase, including:

  • Total engaged users (2-day-in-28 engagement window)
  • User-initiated interaction average
  • Code generation and acceptance activity averages
  • Lines of code added and deleted averages
  • Pull requests created, merged, and reviewed averages
  • Median time-to-merge average

Aggregated metrics report the average per user within each phase rather than the sum.

Why this matters

  • Tell the maturity story: Move beyond simple active-user counts and show which Copilot capabilities your developers are actually adopting.
  • Track cohort progression: Watch users graduate from code-first usage into agent-first and multi-agent workflows over time.
  • Target enablement: Focus training, documentation, and rollout programs on the phases where you see the biggest opportunity.

Important notes

  • These metrics are available to enterprise administrators and organization owners who have access to Copilot usage metrics through the REST API.
  • You can use this release in combination with the teams filter ship for greater granularity.

Join the discussion within GitHub Community.