Most developers spend 20–30 minutes doing manual due diligence when evaluating an unfamiliar repository: skimming commits, reading changelogs, checking contributor history. A GitHub repo analyzer automates that work into a single structured report.
GitIntel goes a layer deeper. Beyond stars and forks, it detects AI-generated code at the line level — identifying whether commits came from Claude Code, Cursor, GitHub Copilot, or human authors. In a world where 51% of GitHub commits are AI-assisted, that distinction matters for security audits, license reviews, and dependency trust decisions.
For teams evaluating open-source dependencies, knowing the AI composition of a library tells you something raw commit counts don't: how much of it has been reviewed by a human who understood what they were writing. For maintainers, it surfaces attribution gaps before they become compliance problems.
GitIntel works as a CLI tool — run `gitintel analyze <repo-url>` against any public or private repository and get a structured JSON report with per-file and per-commit AI attribution scores. No browser extension, no manual configuration.