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A meta-analysis of the effect of generative AI on productivity and learning in programming
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Productivity gains are larger in controlled laboratory settings than in open-source or real-world development environments. This suggests that results from controlled experiments may overestimate the productivity improvements that organizations can expect in everyday software development, where code bases are more complex
Generative AI yields smaller productivity gains on complex, context-dependent tasks than on well-defined tasks.
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- Sep 10, 2026Entered the graphEntered the graph; no copy stored