DigiNews

Summary

This article describes a Better AI code comment detector, rebuilt on public data with a browser-based interface for exploring which features drive classifier decisions. It provides detailed evaluation metrics (balanced accuracy around 77% in cross-validation and 88% in real-world tests), calibration curves, and a confusion matrix, along with extensive discussion of data collection, feature engineering, and classifier design. It also covers building an approachable interface and notes about potential limitations and future work.