AI Code Generation: The Productivity Paradox in Software Development
SMRTR summary
Developers predicted AI coding tools would reduce task completion time by 20-24%, but a recent study of experienced open-source programmers found AI actually increased completion time by 19%. While AI appears to boost productivity on paper, it creates hidden costs through over-optimistic expectations, excessive code review time, and struggles with complex codebases. The productivity paradox emerges as perceived gains mask underlying inefficiencies in real-world development scenarios.
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