Artificial intelligence for web development: Perspectives from the industry

IF 3.5 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Ai Magazine Pub Date : 2026-02-08 DOI:10.1002/aaai.70051
Pyry Pohjalainen, Juho Vepsäläinen
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引用次数: 0

Abstract

As a field, web development is roughly 30 years old, and during this period, it has been transformed several times already as it has moved from static websites to dynamic web applications. Now, with the introduction of Artificial Intelligence (AI), the field is again at the cusp of a transformation as the latest AI tools might change how to develop for the web yet again. The objective of this study is to look into this phenomenon and understand how AI is changing web development. To achieve this task, we chose to use the sequential qualitative–quantitative design method that combines interviews with a survey to validate and expand our findings from the interviews. We found that AI is used by web developers to increase their development efficiency, as even the current tools are easy to use and access, although they come with several minor downsides, including AI not being able to understand complex logic, the need for validation of AI output, and suggested code that could potentially lead to security issues. While there are clear benefits to using AI tools for web development and AI proficiency is a vital skill for web developers, there are still open questions related to the quality of code produced by AI tools.

Abstract Image

web开发中的人工智能:来自行业的观点
作为一个领域,web开发大约有30年的历史,在此期间,它已经经历了几次转变,从静态网站转向动态web应用程序。现在,随着人工智能(AI)的引入,该领域再次处于转型的风口浪尖,因为最新的人工智能工具可能会再次改变web开发的方式。本研究的目的是研究这一现象,并了解人工智能如何改变web开发。为了完成这项任务,我们选择使用顺序定性定量设计方法,将访谈与调查相结合,以验证和扩展我们从访谈中得到的发现。我们发现,web开发人员使用AI来提高他们的开发效率,因为即使是目前的工具也很容易使用和访问,尽管它们有一些小的缺点,包括AI无法理解复杂的逻辑,需要验证AI输出,以及可能导致安全问题的建议代码。虽然使用人工智能工具进行web开发有明显的好处,而且熟练掌握人工智能是web开发人员的一项重要技能,但人工智能工具生成的代码质量仍然存在一些悬而未决的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ai Magazine
Ai Magazine 工程技术-计算机:人工智能
CiteScore
3.90
自引率
11.10%
发文量
61
审稿时长
>12 weeks
期刊介绍: AI Magazine publishes original articles that are reasonably self-contained and aimed at a broad spectrum of the AI community. Technical content should be kept to a minimum. In general, the magazine does not publish articles that have been published elsewhere in whole or in part. The magazine welcomes the contribution of articles on the theory and practice of AI as well as general survey articles, tutorial articles on timely topics, conference or symposia or workshop reports, and timely columns on topics of interest to AI scientists.
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