Slop Code Monitor – scanned 2.6B of code to quantify AI cognitive debt

The Slop Code Risk Monitor presents SynthScan pattern findings across 7,294 GitHub repositories, reporting 3.5B lines of code scanned, 14.6M total pattern hits and a mean legacy signal of 7.0. It maps findings to four risk vectors — cognitive ownership (13.9), hallucinated dependency and supply chain (4.7), agent over-engineering ratio (12.6) and PR review velocity impact (22.3) — which the site describes as heuristic signals for human review, not proof of authorship, security incidents or measured maintenance cost.