Former Tesla AI Director Andrej Karpathy has introduced a groundbreaking concept called “vibe coding”, an innovative approach to software development that heavily relies on AI-powered large language models (LLMs). In a recent post on X (formerly Twitter), Karpathy described vibe coding as a method where developers fully embrace AI suggestions, allowing the model to handle most of the coding while minimizing manual input.
Karpathy explained that modern AI tools, such as Cursor Composer with Sonnet, have evolved to the point where traditional coding mechanisms are becoming obsolete. Instead of meticulously writing and debugging code, he simply describes tasks to the AI and approves its suggestions without closely reviewing the changes. If errors occur, he copy-pastes the error messages and lets AI resolve them, making coding effortless for small, experimental projects.
While this approach enhances productivity, Karpathy acknowledged its limitations. AI tools sometimes fail to fix complex issues, requiring trial-and-error debugging. However, for quick prototyping and personal projects, vibe coding offers a seamless, efficient workflow.
Netizens reacted with mixed opinions—some praising Karpathy for embracing AI-driven development, while others questioned the risks of relying too much on AI. Karpathy himself admitted that vibe coding is still evolving, hinting at future advancements in AI-powered software development.