Software Engineers Report 'AI Fatigue' as Productivity Tools Create New Coordination Burdens
Summary
Software engineers experience 'AI fatigue' as productivity tools create a paradox where they ship more code than ever but face increased coordination burdens, skill atrophy, and constant context-switching that transforms their roles from deep problem-solving to endless code review management.
Key Points
- Software engineer Siddhant Khare reports experiencing 'AI fatigue' despite shipping more code than ever, describing his role as shifting from engineer to reviewer in an 'never-ending assembly line' of code reviews
- AI tools create a productivity paradox by reducing production costs but increasing coordination and decision-making burdens, forcing engineers to context-switch between multiple problems rather than focusing deeply on single tasks
- Engineers report skill atrophy and fear of missing out on new AI updates, with some struggling to solve problems without AI assistance, similar to how GPS dependency weakens natural navigation abilities