Overview
- Vibe coding—coined by Andrej Karpathy—lets people describe intent in natural language while AI generates, assembles, and debugs software.
- Recent commentary highlights rapid gains in speed and accessibility, with non-technical founders and small teams shipping functional apps quickly at lower cost.
- Security researchers and practitioners warn of vulnerabilities from insufficient threat modeling and AI-learned insecure patterns, including stealthy data exfiltration techniques.
- Reports describe fast-accumulating technical debt, drift from recency bias, and brittle architectures that become hard to scale and maintain.
- Recommended mitigations include treating AI as a co‑pilot, exhaustive human code review, test-first practices, modular orchestration, and real-time governance by specialized agentic AIs.