Vibe Coding
A development approach where the programmer describes what they want in natural language and an AI coding agent generates the implementation—the developer 'vibes' with the AI rather than writing code line by line. Coined in early 2025, vibe coding ranges from casual prototyping (describing an entire app in a few sentences) to professional workflows where experienced developers use AI agents for implementation while focusing on architecture and review.
Written by Max Zeshut
Founder at Agentmelt · Last updated Sep 9, 2026
Example
A founder describes 'build me a dashboard that shows MRR, churn, and active users with data from our Stripe and database.' The coding agent generates the full application—frontend, backend, database queries, and API integrations—while the founder provides feedback and direction.
Frequently asked questions
- Is vibe coding suitable for production software?
- For prototypes and internal tools, yes. For production systems, vibe coding works best when paired with experienced developers who review the generated code for security, performance, and maintainability. The AI handles implementation speed; the human ensures quality.