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Productivity Assessment of Neural Code Completion
A study examining how neural code completion tools affect developer productivity by comparing user perceptions with objective usage metrics across a real-world user base. Finds that suggestion acceptance rate — rather than whether completions persist in the codebase over time — is the strongest driver of developers’ perceived productivity gains.
