谁使用人工智能编码? 创造性人工智能的全球传播和影响
Simone Daniotti1,2, Johannes Wachs1,3,4, Xiangnan Feng1
1Complexity Science Hub, Vienna, Austria.
概括
人工智能编码工具可以提高经验丰富的开发人员的生产力, 这项研究跟踪了AI
科学领域:
- 软件工程
- 人工智能
- 计算机科学
背景情况:
- 生成编码工具可以显著提高生产力.
- 这些工具的不均采用可能会加剧现有的技能和收入差距.
- 了解人工智能对软件开发的影响至关重要.
研究的目的:
- 在软件开发中量化人工智能代码的采用率.
- 分析人工智能编码工具对不同经验水平的开发人员的影响.
- 评估人工智能采用对开发者的整体生产力和领域扩张的影响.
主要方法:
- 在数以百万计的 GitHub 提交中训练了一个神经分类器来识别 AI 生成的 Python 函数.
- 分析了超过16万名软件开发人员的承诺,
- 估计人工智能对季度代码输出和开发人员生产力的影响.
主要成果:
- 人工智能目前在美国产生了大约29%的Python函数,全球采用率各不相同.
- 在线代码贡献的季度开发者产量增加了约3.6%.
- 经验丰富的高级开发人员表现出显著的生产力增长和领域扩张,而职业生涯早期的开发人员则没有.
结论:
- 人工智能编码工具对高级开发人员有不成比例的好处,可能会扩大技能差距.
- 在软件开发中采用人工智能可能会重塑职业发展和未来的行业动态.
- 需要进一步的研究,以确保人工智能在所有开发者层面都能获得公平的收益.
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