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An engineering leader says adopting AI coding agents has left them with more work, not less. Writing on their personal blog, the author describes how faster implementation made it tempting to start more tasks in parallel, bringing more context-switching and fatigue.
Why it mattersThe author says they examined their own GitHub contribution history while reflecting on repeated burnout cycles. It is a personal account, not evidence that AI coding tools increase workload for every engineering team. The useful warning is that making tasks easier to start does not necessarily make them easier to finish.
Discuss: When teams adopt coding agents, should they measure time saved, or whether the extra work they enable is actually worth doing?
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