Empirical Research & Data

Clean Vibe Code is built on a foundation of academic studies and industry data (2024-2026).

45-46%

Vulnerability Rate

16.3%

Junior Job Decline

3-5x

Comprehension Lag

The Great Bifurcation: AI and the Software Quality Crisis

Research summary: how generative AI is transforming the software labor market and creating a hidden technical debt crisis.

Research Sources & Bibliography — Clean Vibe Code

The empirical foundation of the Clean Vibe methodology. A complete bibliography of studies on AI coding, security, and labor.

Key Statistics & Formulas — Clean Vibe Code

The data behind the Speed Trap. Explore the statistics and formulas used to measure synthetic technical debt.

About the Data

The statistics cited throughout this site and in the book are derived from Stanford studies, arXiv technical analyses, due diligence reports from top-tier VC firms, and legal rulings from the US Copyright Office and EU AI Act (2024-2026).

View full bibliography and sources →