What vibe coding is good at. It is excellent for prototypes, scaffolding, unfamiliar APIs, repetitive code and quickly testing interface ideas.
What traditional discipline still provides.
Architecture, data modeling, performance, accessibility, security, testing and long-term maintenance still need explicit engineering decisions.
AI-assisted coding changes the speed of exploration. It does not remove the need for architecture, debugging, security and production judgment.
The hidden risk.
Code can look complete while carrying duplicated logic, weak error handling or dependencies nobody has verified.
A better workflow.
Use AI to accelerate implementation, then review structure, tests, failure modes and maintainability with the same rigor as human-written code.