AI Slop Cleaner – Turning Vibe-Coded Repos Into Real Systems
Service Overview
AI Slop Cleaner is a specialized refactoring and architecture service for codebases heavily written with AI assistance, copy‑pasta, or “just ship it” energy. The goal is to turn fragile, incoherent “vibe‑coded” projects into predictable, testable, and maintainable software without losing momentum or core features.
What This Service Does
Tighten chaotic code structure into clear modules, boundaries, and layers while reducing accidental complexity and duplication.
Replace cargo-cult patterns, magic numbers, and mystery abstractions with explicit, well-documented logic.
Introduce or repair tests, linters, and formatting so future AI usage is constrained by guardrails instead of vibes.
Typical Problems Fixed
“It works on my machine” code that breaks under real load, concurrency, or non-happy paths.
Mixed styles from multiple AI tools and devs, leading to inconsistent patterns, conflicting abstractions, and dead code.
Over-engineered microservices or under-engineered monoliths with no clear ownership, boundaries, or contracts between components.
How Engagement Works
Codebase Triage: Rapid scan of architecture, hotspots, tech debt, and critical paths to identify the riskiest “AI slop” first.
Refactor Plan: Concrete, prioritized roadmap with specific refactors, interface changes, and guardrails for future contributions.
Guided Cleanup: Iterative refactors, PR reviews, and pairing to steadily convert messy areas into stable, boring, production‑ready code.
Deliverables You Get
Clear architecture and dependency diagrams plus written rationale for key design decisions.
A documented set of conventions (style, patterns, testing expectations) so humans and AI tools stop fighting the codebase.
A codebase that’s easier to hire for, easier to reason about, and safer to let AI assist with going forward.
If your repo “mostly works” but feels cursed to touch, this service is built to uncurse it and give you a codebase you are no longer afraid to open.