Vibe coding is the practice of building software through natural language descriptions rather than writing code directly. You describe what you want, AI generates the implementation, and you evaluate whether the result works. When it does not, you describe what is wrong rather than debugging the code line by line.
The distinction that matters: vibe coding is not AI-assisted coding. In AI-assisted coding, a developer writes code and uses AI to autocomplete, debug, or suggest improvements. In vibe coding, the developer does not write code at all. The AI is not an assistant; it is the implementer. The human role shifts entirely to description, testing, and judgment.
System-level judgment. Complex software systems involve trade-offs in architecture, security, performance, and maintainability that require understanding consequences several steps ahead. Vibe coding produces working code for bounded tasks. It does not produce reasoning about what those tasks should be or how they fit together at scale.
Production engineering. A vibe-coded prototype can validate a concept convincingly. Turning that prototype into a system that handles real users, real failure modes, and real security requirements still requires engineering expertise. The gap between "it works on my machine" and "it works reliably for ten thousand users" has not closed.