AI-SLOP Detector 3.1.1 - An Analysis Tool That Catches Spaghetti Code Made by AI Agents

AI-SLOP Detector is a tool that statically analyzes structural flaws that frequently occur in code generated by AI agents. Going beyond simple style checks, it focuses on finding code that looks clean on the surface but actually has low implementation density or is unstable.

Key Detection Patterns:

• Stub implementations and empty containers: Code that only has the form, such as return {}, return []
• Phantom imports: Imports of packages that don't exist or are incorrect
• Hidden complexity: Patterns that hide complexity by splitting a complex function into multiple helper functions
• Meaningless naming: Overuse of placeholder variable names like r1, r2
• Excessive comments: Comments or terminology that are exaggerated relative to the actual logic

Key Updates in Version 3.1.1:

• Weighted Geometric Mean (GQG)-based scoring model: Improved so that a specific metric doesn't distort overall quality
• History Tracking: Strengthened false positive discrimination through execution history
• Fragmented God Function detection: Captures complexity hidden within split functions
• VS Code and CI integration: VS Code extension support and integration into automation pipelines via JSON output