Show HN: Slop-O-Meter, an experimental tool to detect slopware projects

Category: devtools

Tags: code-quality, git-analysis, ai-detection

Score: 5.8/10 (Innovation: 7, Technical: 5, Documentation: 7, Utility: 4)

Slop-O-Meter is an experimental tool that attempts to quantify 'slopware' in software projects by analyzing git history and GitHub activity to estimate the attention cost versus attention spent. It's interesting as a conceptual framework for measuring software quality and potential AI-generated code, though the creators acknowledge its unreliability and limitations.

Target audience: backend devs, devops

Repository: https://slop-o-meter.dev/ · TypeScript · AGPL-3.0 · 9 stars

View on Hacker News