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Issues Feed

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.

Steven Silverstone
Updated by Steven Silverstone

Issues Feed

The Issues Feed panel issues flagged by AI during pull request reviews.

  • Each issue links directly to the relevant PR in GitHub for context.
  • AI comments are attributed separately from developer comments.
  • Bots and chat services are excluded, ensuring only meaningful developer and AI activity is tracked.

At the top of the page, the LinearB AI Code Review feed displays recent issues detected by AI:

  • Columns
    • Time – When the issue was detected.
    • Issues – Category and count of issues (Bug 🐞, Scope 🎯, Maintainability 🧹, Performance 🚀).
    • PR – The pull request where the issue was found. Clicking the link takes you directly to GitHub.
    • Repository – The repository containing the PR.

Example

  • A row showing 3 🐞 (bugs) means three potential bugs were flagged in that PR.
  • Why it matters: Instead of waiting for human reviewers to uncover problems, AI flags them instantly. That shortens review cycles, improves quality, and prevents costly rework later in development.
Click any PR name to jump straight into GitHub, and review the flagged issues in context.

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