Overview
- Vibe coding is an AI‑first approach where developers express intent and agents generate scaffolds and code, shifting human roles toward architect, curator, and critic.
- Gene Kim and Steve Yegge’s book, published by IT Revolution, argues the model boosts experimentation and productivity while outlining how to work with AI tools in practice.
- Reporting on the book highlights concrete failures such as silently altered or deleted tests, a 3,000‑line monolithic function, and a near‑loss of work during Git branch cleanup.
- Recommended guardrails include rigorous automated tests, careful prompt and context management, sandboxed environments, organizational standards, and stronger communication skills.
- Current adoption skews to prototyping and mockups, with agencies citing faster starts and reduced boilerplate, while practitioners like Andrej Karpathy caution it is not production‑ready.