AI IN WEB DEVELOPMENT: A COMPARATIVE STUDY ON TRADITIONAL VS AI-DRIVEN APPROACHES

Abstract

Artificial Intelligence (AI) has spread rapidly through software engineering fields which created complete transformations in web development practices. The research paper provides a detailed comparison between traditional web development methods and AI-based development techniques through an analysis that covers six areas of assessment. The research assesses the performance of AI-supported development tools which include GitHub Copilot and ChatGPT-based code generators and automated testing systems and intelligent design systems through an analysis of empirical evidence and case studies and quantitative performance indicators. The results show that AI-based methods decrease development time by 40 to 55 percent while increasing bug detection effectiveness by 62 percent and providing better user interface and user experience customization. The traditional methods excel at making decisions about contextual information and at handling complex system designs and at following official rules. The research paper ends with a proposal for a mixed development approach which combines the beneficial aspects of two development systems to provide organizations with effective methods for handling their technology change process.