In 2025, a transformative approach to software development emerged, known as "vibe coding." This method allows developers to create code by providing natural language descriptions to large language models (LLMs), which then generate the corresponding code. Pioneered by computer scientist Andrej Karpathy, vibe coding emphasizes speed and iterative development, enabling even non-programmers to build software by articulating desired functionalities in plain language. This approach shifts the developer's role from manual coding to guiding, testing, and refining AI-generated code, fostering a more intuitive and accessible development process. en.wikipedia.org
Despite its advantages, vibe coding presents challenges, particularly concerning code quality and security. Studies indicate that a significant portion of AI-generated code contains vulnerabilities, with one report highlighting that nearly 45% of such code exhibits security flaws. This underscores the necessity for human oversight in reviewing and refining AI-generated code to ensure its reliability and safety. Additionally, the rapid adoption of AI tools in development workflows has led to increased codebases, raising concerns about maintainability and technical debt. To mitigate these risks, experts recommend treating AI-generated code as untrusted, enforcing strict governance, and performing continuous code reviews. itpro.com