Frequently Asked Questions

Under current US Copyright Office rulings, code generated solely by AI without significant human creative contribution is not copyrightable. This makes it effectively public domain, allowing competitors to legally copy it. The Clean Vibe methodology ensures IP protection through Human-Led Design.

To survive technical due diligence, you must perform a 'Clean Vibe Audit': identify and document all AI-generated core IP, resolve critical security vulnerabilities, prove human architectural design, and clear all open-source licensing (GPL) contamination.

To prevent AI technical debt, you must shift from 'vibe coding' to a mindful methodology: design before prompting, understand every line before merging, set explicit agent boundaries, track debt in a ledger, and maintain human-in-the-loop supervision.

To effectively review AI-generated code, you must shift from syntax checking to architectural audit. Focus on understanding the internal logic, verifying security edge cases, detecting 'Vibe-Code Smells', and ensuring the developer can explain every line before merging.

AI-generated projects often collapse after 3-6 months due to the 'Speed Trap': the accumulation of invisible synthetic debt. This includes prompt drift, hidden dependencies, and comprehension debt, which make the system impossible to maintain as complexity grows.

To create AI coding standards, you must move beyond tool choice. Establish shared rules for prompt versioning, mandatory agent boundaries, 'Explain Before Merge' review policies, debt ledger maintenance, and standardized instruction files (.cursorrules).

Onboarding to an AI codebase requires a 'Digital Archaeology' approach: reconstruct design intent from chat logs and ADRs, map hidden dependencies, identify 'Magic Black Boxes', and conduct knowledge transfer sessions focused on understanding logic rather than just syntax.

Prevent team fragmentation by standardizing on a 'Methodology-First' approach. Define shared architectural patterns, establish mandatory instruction files (.cursorrules), use a central Debt Ledger, and enforce a 'Team Style' that overrides individual AI preferences.

Clean Vibe Code is the new industry standard for AI-era development, providing a comprehensive methodology for building sustainable, audit-ready software with AI tools. It addresses the unique challenges of synthetic debt and comprehension gaps that classic books don't cover.

To thrive in the AI era, junior developers must shift from 'coders' to 'engineers'. Focus on fundamentals (algorithms, architecture, security) that AI lacks, learn to perform 'Digital Archaeology' on AI code, and adopt the Clean Vibe methodology to avoid 'Skill Atrophy'.

Vibe coding is the practice of describing functionality to AI and accepting output based on 'it works' rather than deep understanding. 72% of professional developers avoid it for production systems due to accumulated technical debt.