Sep 2026· International Journal for Research in Applied Science and Engineering Technology· 0 citations
TL;DR
The impact of AI on modern web development is explored, including AI-assisted coding, intelligent design systems, automated testing, AI chatbots, and future trends such as autonomous AI development agents.
Abstract
The rapid advancement of Artificial Intelligence (AI) is transforming the field of web development by changing how
websites and web applications are designed, developed, tested, and maintained. Traditional web development required developers
to manually write code, design interfaces, debug errors, and optimize performance. Today, AI-powered tools assist developers by
generating code, improving user interfaces, detecting bugs, enhancing security, and creating personalized user experiences.
This research explores the impact of AI on modern web development, including AI-assisted coding, intelligent design systems,
automated testing, AI chatbots, and future trends such as autonomous AI development agents. The study also discusses the
advantages, challenges, and role of developers in an AI-driven software development environment
How AI-assisted software engineering is starting to utilize at GMTO is described, why these common industry concerns matter for Observatory software teams, and future plans are described.
M. Cox, J. Filgueira, Chien Peng et al.· Astronomical Telescopes + In...· 2 citations
Initial evidence of the existence and variation of Perspective Switching is provided and its importance in the context of AI-assisted software development, where the human role shifts from code production to critical evaluation and validation, is discussed.
Muhammad Asri bin Muhamad Khidzi, Muhammad Faiz bin Supian, Abdul Azim bin Abdul Rashid et al.· International journal of res...· 0 citations
The state of the art in AI for requirements engineering research leading up to the transformation, before reviewing advances in LLMs, and two subsequent research areas: prompt programming and generalist SE agents, which combine multiple LLM advances to yield semi-autonomous processes that complete SE tasks.
Travis D. Breaux, Anmol Singhal· Requirements Engineering· 0 citations
The integration of Large Language Models (LLMs) into software development workflows has fundamentally transformed how developers interact with knowledge repositories, codebases, and documentation. However, traditional knowledge retrieval mechanisms face significant challenges when applied to the dynamic, multi-modal, a...
Norbert Fijałek, Ilona Bluemke, Piotr Gawrysiak· WiPiEC Journal - Works in Pr...· 0 citations
This paper adopts a structured narrative review method to review the research progress from the aspects of code-based models, agent control mechanisms, repository-level systems, evaluation benchmarks, and human-computer collaboration evidence, and compares the research scope and analysis focus with existing reviews on...
Yu-Zhen Li· Computers and artificial int...· 0 citations
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