Git Intelligence in a Minute

Git Intelligence

Git as a source of engineering evidence: history, churn, releases, hotspots, and what the repository can prove about what happened.

Central question: What can Git tell me about what happened?

• Code Churn

  What code churn measures in Git history, when it is useful, and why high churn is not automatically “bad engineering.”

• Release Delta

  How to describe what actually changed between two releases using Git tags, commits, and diffs.

• Commits Since a Release

  How to list and interpret work landed after a release tag—useful for hotfixes, drift, and “what’s on main.”

• Identifying Hotspots

  How to find files and directories that change unusually often—and what hotspot lists cannot decide alone.

• Branch Comparison

  Comparing two branches as evidence of divergence—commits unique to each side and the aggregated diff.

• Commit Frequency

  What commit frequency measures as repository activity—and why it is not a productivity grade.

• Additions and Deletions

  How to read added and deleted line counts as magnitude signals with sharp limits.