AntiVibe - Code Learning & Audit Framework

Purpose

AntiVibe generates learning-focused explanations or architectural audits of any code — AI-generated, legacy, or otherwise. It helps developers understand:

• What the code does (functionality)
• Why it was written this way (design decisions)
• When to use these patterns (context)
• What alternatives exist (broader knowledge)

Works on any codebase — you don't need recent git history or AI-authored files.

When to Use

Use AntiVibe when:

1. Manual invocation: User types /antivibe or "deep dive"
2. Post-task learning: After a feature/phase completes, user wants to learn from it
3. Legacy codebases: User wants to understand existing code they didn't write
4. Proactive: User says "explain what AI wrote", "walk me through", "audit this", or points at a file/directory