Frequently Asked Questions
Direct answers to the most common challenges in AI-assisted development.
🚀 Founders & Business
Can you copyright AI-generated code?
→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.
How do I prepare AI-generated code for technical due diligence?
→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.
👨💻 Software Developers
How do I prevent technical debt from AI coding?
→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.
How do I effectively review AI-generated code?
→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.
Why does my AI-generated code break after a few months?
→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.
👥 Engineering Teams
How do I create AI coding standards for my team?
→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).
How do I onboard developers to an AI-generated codebase?
→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.
How do I prevent team fragmentation with different AI tools?
→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.
📚 Career & Learning
What are the best books for learning AI-assisted development?
→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.
How do junior developers build careers in the AI era?
→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'.
🧠 Core Concepts
Don't see your question?
We're constantly updating our FAQ based on new research and reader feedback.
Get the Full Book