Table of Contents
AI Adoption
AI Insights gives you a real-time view of how AI is used across your codebase. See issues flagged during reviews, track adoption across commits and PRs, and measure usage of tools like GitHub Copilot and Cursor. Interactive charts let you drill into details such as active users, acceptance rates, and lines written. Metrics exclude bots and chat-based automation, giving you an accurate picture of true developer + AI collaboration.
Updated
by Steven Silverstone
AI Adoption
The AI Adoption panel shows how AI contributes across three types of activity:
- Commits – Number of commits, separated into manual and AI-assisted (commits where AI contributed as a co-author). Measured by scanning commit messages for co-authors and counting Agent names when present.
- Review Comments – Number of code review comments split into human-written and AI-generated. Measured by checking PR comments and attributing those created by Agents.
- PR Authors – Number of unique authors who opened PRs with AI involvement. Measured by tracking new PRs opened by Agents or with Agents listed as co-authors.
At the top of this panel, you can toggle Show only AI activity to filter the view to AI-assisted actions.
Chatbot and bot accounts are excluded from all metrics.
This view helps you measure whether AI is becoming a consistent part of your workflow. Chatbot or bot accounts are excluded so the numbers reflect real developer + AI usage.
How did we do?
