slop-o-meter

slop-o-meter is an experimental tool that analyzes GitHub repositories to estimate the proportion of AI-generated versus human-written code. It scores projects on a five-point scale by examining git history and GitHub activity, calculating the ratio between code added and human interaction signals like commits and pull request comments.

The tool targets developers curious about code quality and AI adoption in open-source projects. It uses a week-by-week analysis to identify periods where large code additions occurred with minimal human oversight, which the creator acknowledges produces unreliable results due to indirect measurement methods. The maker built it with Claude Code.