Vibe coding, a term coined by Andrej Karpathy, refers to the practice of coding based on intuition and trusting tools like AI and autocomplete without a solid understanding of the underlying principles. While this method can speed up the development process, it poses significant risks, particularly when developers overlook fundamental concepts. The article highlights that while vibe coding can work for personal scripts or prototypes, its limitations become evident in more complex applications, such as payment systems or health-related software, where security and compliance are critical. The author emphasizes that relying solely on vibe coding can lead to poor practices, including blind copy-pasting and prompt-spamming. For instance, AI-generated code often contains vulnerabilities, such as SQL injection flaws and insecure storage of sensitive data. Specific examples illustrate how AI can produce code that seems functional but harbors significant security issues, like exposing API keys in front-end code. This reliance on AI can create a false sense of security, leading to financial and reputational damage when applications fail. The article also outlines a range of scenarios where vibe coding is acceptable versus where it can result in disasters. It suggests that developers should use this approach for low-stakes projects but avoid it in areas requiring accuracy and security, like multi-tenant SaaS applications or authentication systems. Ultimately, the piece warns against the temptation to shortcut learning and emphasizes the importance of understanding the code being written, as complexity increases when developers layer features without a solid foundation.