程序员
计算机科学
生产力
任务(项目管理)
JavaScript
软件
软件工程
计算机安全
万维网
操作系统
工程类
系统工程
宏观经济学
经济
作者
Sida Peng,Eirini Kalliamvakou,Peter Cihon,Mert Demirer
标识
DOI:10.48550/arxiv.2302.06590
摘要
Generative AI tools hold promise to increase human productivity. This paper presents results from a controlled experiment with GitHub Copilot, an AI pair programmer. Recruited software developers were asked to implement an HTTP server in JavaScript as quickly as possible. The treatment group, with access to the AI pair programmer, completed the task 55.8% faster than the control group. Observed heterogenous effects show promise for AI pair programmers to help people transition into software development careers.
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