AI Fatigue for Developers: Managing Cognitive Overload from Code Assistants

AI code assistants produce a steady stream of suggestions that developers must review.

Because assistants lack project-wide context, developers must validate suggestions for architectural fit.

Frequent validation of suggestions fragments focus and can convert deep work into repeated audits.

Immediate speed gains from AI can create long-term architectural drift and fuzzy ownership.

Teams can reduce risks by using AI on demand and flagging AI-generated code in reviews.