What problem does it solve?
It detects common AI-generated “slop” patterns in code, text, and design so you can rewrite or refactor them into cleaner, more intentional work that a senior human would actually produce.
Core Features & Use Cases
- Slop pattern detection: Flags over-abstracted, over-commented, over-logged, over-typed code; generic meta-commentary, hedging, buzzwords, and structural fillers in writing; and template-like visual/UX motifs in design.
- Fix-forward review workflow: Produces findings grouped by file (with before/after) or a structured report for text/design issues, then prescribes targeted cleanup changes rather than vague advice.
- Practical cleanup rules: Applies a concrete checklist (e.g., wrapper types, impossible-state guards, one-case error enums, “restating code” comments, hedge clusters, and AI landing-page template layouts).
- Proactive and on-demand usage: Works when you ask to clean something up, during PR review, or when you notice AI-typical patterns as you write.
Quick Start
Ask it to clean slop in the file you are reviewing and to output a grouped before/after diff.
