“Vibe coding”

is quickly becoming a buzzword in the developer world, especially after being highlighted by Andrej Karpathy, former head of AI at Tesla. The concept is simple but revolutionary: instead of writing every line of code manually, developers guide large language models (LLMs) like GitHub Copilot or Cursor with natural language.

This approach is transforming prototyping, enabling developers to ship minimum viable products (MVPs) in record time. Early adopters report productivity boosts for exploratory tasks, though concerns persist about debugging and security.

Critics argue that overreliance on AI can degrade core coding skills, making developers too dependent on LLMs. Others highlight risks like subtle bugs and inconsistent code quality, especially in production-grade software.

Nevertheless, vibe coding is poised to redefine how developers work, blending creativity with conversational AI to rapidly build solutions.