Software engineers are experiencing “AI fatigue,” as highlighted by Siddhant Khare, who notes that while AI tools boost productivity, they complicate the engineering process. Khare describes the role shift from coder to reviewer, causing constant context-switching that leads to mental exhaustion, despite shipping more code than ever. This paradox of productivity places a heavier burden on users, increasing coordination, review, and decision-making tasks. Other engineers echo similar concerns, suggesting that reliance on AI leads to burnout and diminished focus. Recent studies indicate AI tools can escalate workloads, intensifying cognitive fatigue and decision-making challenges. Khare also mentions that staying updated with rapid AI developments creates pressure, resulting in skill atrophy—likening it to losing navigation skills without GPS. To combat this, Khare advocates for establishing boundaries around AI use. He suggests AI companies implement safeguards to prevent users from overwhelming themselves in the fast-evolving tech landscape.
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