CraftScore - Measure engineering craft, not AI output.
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Traditional metrics are broken in the AI era. CraftScore helps engineering leaders measure true craft—analyzing code review discipline, refactoring cycles, and behavioral patterns to surface who truly understands the system.
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Hey Product Hunt! 👋
I’m Ricardo, co-creator of CraftScore.
As a Full Stack Developer, I’ve seen firsthand how AI coding tools exploded PR throughput and commit velocity. While shipping faster is great, traditional engineering dashboards got noisy — volume went up, but visibility into true system understanding went down.
We built CraftScore to shift the focus from raw output back to engineering craft. It analyzes behavioral patterns like review discipline and refactoring cycles to give leaders a real signal of quality in an AI-driven codebase.
We’d love your feedback, questions, and thoughts! What metrics matter most to your engineering team today?
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The focus on refactoring cycles alongside review discipline feels like a genuinely useful signal, not another vanity dashboard.
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The focus on refactoring cycles alongside review discipline feels like a genuinely useful signal, not another vanity dashboard.