AI fatigue is real and nobody talks about it
Summary
The article argues that AI-assisted engineering can paradoxically lead to greater fatigue: faster individual tasks increase coordination and review costs, while constant tool churn and nondeterministic outputs drain cognitive energy. It offers practical strategies for sustainable AI use, including time-boxed sessions, separating thinking from execution, accepting imperfect AI output, and focusing on durable infrastructure like context management, access control, and audit trails.