Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity

One reason we’re interested in evaluating AI’s impact in the wild is to better understand AI’s impact on AI R&D itself, which may pose significant risks. For example, extremely rapid AI progress could lead to breakdowns in oversight or safeguards. Measuring the impact of AI on software developer productivity gives complementary evidence to benchmarks that is informative of AI’s overall impact on AI R&D acceleration.

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