AI Checkpoints

The AI Checkpoints report lets you track distinct AI checkpoints across commits, compare periods, and review checkpoint-level usage with repository and team context. It is accessible under AI Impact in the left sidebar.

The top of the page displays four summary metrics:

Total checkpoints - The total number of AI checkpoints recorded in the selected period.
Avg AI attribution - The average percentage of code attributed to AI across all checkpoints.
Avg tokens per checkpoint - The average number of tokens consumed per checkpoint.
Active repositories - The number of repositories with AI checkpoint activity.

Each metric also shows a percentage change compared to the previous period.

Checkpoints - A paginated table listing all commits with AI checkpoint metadata for the selected filters and period, with the following columns:

Checkpoint ID - The unique identifier of the checkpoint, linked to the commit.
Repository - The repository where the commit was made.
Commit message - The commit message, linked to the commit in the source provider.
Author - The developer who made the commit.
AI agent - The AI tool used for the checkpoint (e.g. Claude Code).
AI tokens - The number of tokens consumed for this checkpoint.
AI Attribution - The percentage of the commit attributed to AI, shown as a progress bar and percentage.
Files Changed - The number of files modified in the commit.
AI Changed Lines - The number of lines changed by AI.
Human Changed Lines - The number of lines added, unchanged, or removed by the developer, shown as additions, modifications, and deletions.
Created Date - The date and time the checkpoint was created.

Filters available at the top of the report include date range, Repos, Attributes, Teams, Groups, Agent, and Settings.