Buildermark
See exactly how much of your codebase was written by AI, commit by commit
Expert verdict
Ship
3-1The Panel's Take
Buildermark is an open-source, local-first desktop app that measures AI contribution across your codebase by matching agent diffs to commits. It supports Claude Code, Codex, Gemini, and Cursor, producing a breakdown of which files, functions, and commits involved AI generation — all without sending code to external servers. A browser extension handles import from cloud-based agents, and a Team Server edition for org-level aggregation is planned as a paid self-hosted offering. The tool surfaces metrics like percentage of total lines AI-generated, AI contribution by file type, trend over time, and breakdown by agent (which AI wrote what). For solo developers it's a personal diagnostic; for teams, it becomes a code quality signal — sections with high AI contribution may warrant extra scrutiny in review. Buildermark taps into a growing enterprise need: as AI-generated code becomes the norm, teams, auditors, and compliance officers want provenance data — both for quality assurance and for emerging legal questions around IP ownership of AI-generated work. GitHub doesn't expose this natively, and most agent tools don't track it. Buildermark fills that gap with a zero-cloud approach that enterprise legal teams can actually approve.
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Buildermark verdict: SHIP 🚀 3 ships · 1 skip from the expert panel Full review: shiporskip.io/tool/buildermark-ai-generated-code-measurement-commit-attribution-local-first-2026
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<a href="https://shiporskip.io/api/badge-click/buildermark-ai-generated-code-measurement-commit-attribution-local-first-2026" target="_blank" rel="noopener"><img src="https://shiporskip.io/api/badge/buildermark-ai-generated-code-measurement-commit-attribution-local-first-2026" alt="Buildermark Ship verdict on ShipOrSkip" width="360" height="90" /></a>[](https://shiporskip.io/api/badge-click/buildermark-ai-generated-code-measurement-commit-attribution-local-first-2026)<iframe src="https://shiporskip.io/embed/buildermark-ai-generated-code-measurement-commit-attribution-local-first-2026" title="Buildermark ShipOrSkip verdict" width="360" height="260" style="border:0;border-radius:16px;max-width:100%;" loading="lazy"></iframe>The reviews
“Unified attribution across Claude Code, Codex, Gemini, and Cursor simultaneously gives me something no single agent tool provides. Commit-level AI attribution is genuinely useful before merging — I want to know if a section is heavily AI-generated so I can give it proportionally more review attention.”
“Most AI-assisted code is human-modified before commit, creating a false dichotomy between 'AI-written' and 'human-written.' The legal question of IP ownership for AI-generated code is also unresolved, so Buildermark's framing could create more confusion than clarity for compliance teams. Wait for the enterprise edition.”
“In 18 months, enterprise procurement will ask for AI contribution reports the same way they ask for test coverage reports. Getting a baseline now builds the historical data that future audits will require — and Buildermark's zero-cloud architecture means early adopters won't have to migrate when compliance requirements arrive.”
“Having a dashboard that shows my AI usage patterns across projects would genuinely change how I think about skill development. Am I outsourcing the hard parts? Am I improving? Buildermark is the mirror I didn't know I needed — and the fact that it's free and local means there's no reason not to try it.”