mohi-devhub/antivibe

Learn what AI writes, not just accept it. A Claude Code skill that turns AI-generated code into educational deep dives.

What it solves

AntiVibe addresses the problem of developers blindly copying and pasting AI-generated code without understanding the underlying logic. It transforms codebases—whether they are legacy, AI-authored, or new—into educational deep dives or senior-level architectural audits, ensuring developers learn the "why" behind the implementation rather than just the "what."

How it works

AntiVibe operates as a skill for Claude Code. It uses specialized subagents (an Explainer and an Auditor) to analyze code and generate structured Markdown reports. Users can trigger it via commands like /antivibe or natural language requests. The framework allows users to tune the depth of explanations based on their skill level (junior, mid, or senior) and skip concepts they already know via a configuration file.

Who it’s for

It is designed for developers of all levels who want to understand complex codebases, learn from AI-generated suggestions, or perform architectural audits on existing projects across various languages and frameworks.

Highlights

  • Multi-level Explanations: Tailors content depth for junior, mid, and senior developers.
  • Audit Mode: Provides senior-level architectural reviews focusing on trade-offs, edge cases, and testability.
  • Customizable Detail: Offers compact mode for low token cost and full mode for detailed line-by-line walkthroughs and curated resources.
  • Concept Mapping: Connects specific code implementations to broader computer science principles and external learning resources.
  • Auto-Trigger Hooks: Can be configured to automatically generate deep dives after a task is completed or a session ends.

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