Agility in software development has evolved from a niche methodology to a mainstream paradigm that enables organizations to respond rapidly to changing market demands and customer expectations. This paper explores the integration of agility into software development through modern agile methodologies such as Scrum, Extreme Programming (XP), and Kanban. It highlights the core benefits of agility, including improved adaptability, faster delivery cycles, and enhanced customer satisfaction, while also addressing persistent challenges such as documentation gaps, progress measurement, and organizational resistance to change. Beyond current practices, the paper examines the future trajectory of agile development, emphasizing the growing influence of emerging technologies such as artificial intelligence (AI) and DevOps. These technologies are reshaping agile workflows by enabling greater automation, predictive analytics, and continuous delivery. Drawing on recent scholarly and industry research, the paper outlines best practices for successful agile transformation, including the alignment of agile practices with strategic business goals, the cultivation of a supportive organizational culture, and the use of modern tools to enhance transparency and performance analytics. By synthesizing empirical findings and forward-looking insights, this study provides a comprehensive roadmap for agile adoption and continuous improvement, offering valuable guidance for practitioners, managers, and researchers aiming to build resilient, customer-centric software systems in increasingly complex and technology-driven environments.
Témolé et al. (Fri,) studied this question.
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