Measuring GitHub Copilot’s Impact on Productivity – Communications of the ACM

Code-completion systems offering suggestions to a developer in their integrated development environment (IDE) have become the most frequently used kind of programmer assistance.1 When generating whole snippets of code, they typically use a large language model (LLM) to predict what the user might type next (the completion) from the context of what they are working on at the moment (the prompt).2 T

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GitHub Copilotの生産性測定について

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