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AI Fatigue for Developers: Managing Cognitive Overload from Code Assistants

AI Fatigue for Developers: Managing Cognitive Overload from Code Assistants

via Dev.toKody from Kodus

The constant stream of suggestions from AI code assistants is creating a new kind of mental tax. The problem isn't prompt engineering or model accuracy. It's a deeper issue of control and focus, leading to what some engineers are calling AI fatigue . When your IDE is constantly suggesting entire blocks of code, your job changes from creating to validating. You become a full-time reviewer for a junior developer who never sleeps, never learns your project’s specific context, and never gets tired. This model of passive assistance has a real, non-obvious cost. It trades the focused effort of building for the scattered effort of auditing, which can compromise the system’s integrity and the deep thinking that good engineering requires. The silent cost of constant suggestions Code assistants see a local window of your code, but they have no architectural awareness. They can generate a function that correctly implements an algorithm, but they don’t know about the new data access pattern the te

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