Buildermark

Match agent conversation logs with Git changes to study AI contributions to a codebase.

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Meet Buildermark

Buildermark measures the contribution of coding agents by comparing their conversation logs with Git commit changes. It imports supported agent histories and repository activity, then matches the recorded diffs to committed lines. The approach works alongside an existing workflow without requiring manual attribution tags or new agent hooks.

A local interface presents commit attribution, conversation ratings, and comparisons across agents such as Claude, Codex, Gemini, and Cursor. Native notifications can show a contribution summary after a commit, and browser extensions help import cloud-agent sessions. The open-source application runs locally, giving developers a way to study how AI tools are being used on their own projects.

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