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Engineering Enablement by Abi Noda
Measuring and rolling out AI coding assistants | Eirini Kalliamvakou (GitHub)
Jan 31, 2024
47:43
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Eirini Kalliamvakou, a staff researcher at GitHub, talks about how AI coding assistance impacts developer productivity. They discuss recent research on AI tools, key findings from the study, and how to advocate for AI tools. They also explore the implications of AI on measuring productivity and the impact of AI on developer experience.
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Quick takeaways
- AI coding assistance, such as GitHub co-pilot, has shown strong correlations with improved productivity aspects like staying in the flow and completing tasks faster.
- A study found that professional developers using co-pilot achieved a 55% faster completion time and higher success rate, with less experienced programmers benefiting more.
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Research on AI coding assistance impact
Recent research evaluates how AI coding assistance, specifically GitHub co-pilot, impacts developer productivity. The study focuses on data gathered from evaluations to understand the effects of co-pilot usage by developers, teams, and organizations. The research aims to inform decision-making, investments, and the communication of effects and benefits of AI tools. One significant study shows a correlation between acceptance rate of co-pilot and various productivity aspects, such as staying in the flow, job fulfillment, and completing tasks faster.
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