Vibe Coding Delusion: Why AI Development Needs Discipline

Overview
The article critiques the "vibe coding" approach in AI development, arguing that building applications from a single prompt may work for demos but fails in enterprise settings where discipline, governance, security, and professional practices are essential. It outlines why structured training, code review, and compliance are critical for production-ready AI systems.

Key Takeaways

• Rapid AI prototyping without governance leads to technical debt and security risks.
• Enterprise AI projects require formal processes, code reviews, and compliance checks.
• Investing in developer training and governance frameworks yields sustainable AI products.

Who Would Benefit

• Technical leaders and CTOs overseeing AI initiatives.
• Engineering managers responsible for AI product delivery.
• Software developers building AI features in enterprise environments.

Frameworks and Methodologies

• AI governance frameworks.
• Secure AI development lifecycle.
• Continuous integration and code review for AI models.