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A recent study has revealed significant impacts of generative AI on software developer productivity. The randomized controlled trial, which utilized the older GPT-3.5 powered Github Copilot, involved 4,867 coders from Fortune 100 firms. The findings indicate a 26.08% increase in completed tasks among developers using the AI tool, with a standard error of 10.3%. Notably, less experienced developers demonstrated higher adoption rates and greater productivity gains.
"Impact of generative AI on software developer productivity...our analysis reveals a 26.08% increase in the number of completed tasks Notably, less experienced developers showed higher adoption rates and greater productivity gains." https://t.co/9WiOTOf2As
"Our analysis reveals a 26.08% increase (SE: 10.3%) in the number of completed tasks among developers using [GPT-3.5]. Notably, less experienced developers showed higher adoption rates and greater productivity gains." https://t.co/NwuQTFXdkh
Big paper I have been waiting for: what are the real impacts of AI on programmer productivity? It is a randomized controlled trial using the older, less-powerful GPT-3.5 powered Github Copilot for 4,867 coders in Fortune 100 firms. It finds a 26.08% increase in completed tasks. https://t.co/V8LYyL5YJk
