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AI Rule Files
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 Rule Files
The AI Rule Files panel tracks repositories that include rule files, which are a strong indicator of AI agent adoption. Different AI agents support different file types and formats, so once data is available you’ll see which tools are being introduced across your repositories and how widely they are being used.
The panel shows the following:
- Total repositories with rules files – number of repositories currently include at least one rule file. Measured by scanning all repos connected to LinearB.
- Repositories without rules files – number of repositories that don’t yet contain AI-specific rules. Measured by subtracting repos with rule files from the total count.
- Breakdown by agent – a comparison of which AI tools (e.g., Claude Code, Cursor) are being used and in how many repositories.
- Repositories with multiple rule types – cases where more than one agent is being configured in the same repository. Measured by checking for overlaps (e.g., a repo containing both Claude and Copilot rule files).
This visibility helps you understand not just developer-level usage, but also where AI agents are being formally embedded into project workflows through configuration.
Chatbot and bot accounts are excluded from all metrics.
How did we do?
AI Iteration Summary for Teams
AI Tools Usage
