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Why Vibecoding Breaks Down

Vibecoding works well for:

100 Files

It becomes increasingly difficult at:

1,000 Files

and often unsustainable at:

10,000 Files

because AI tends to optimize for:

Local Correctness

while architecture requires:

Global Consistency

The larger the system becomes, the more important consistency becomes.

Mini Exercise​

Explain why local correctness is not enough in a large front-end system.

Example​

A feature can work correctly by itself but still hurt the system if it introduces a new naming pattern, folder structure, or state approach.