Human-Centric AI Tools Into Agile Methodologies for Optimized Software Development

Abstract

This study explores integrating human-centric AI tools, particularly NLP-based AI, into Agile methodologies to enhance software development efficiency. Agile methodologies emphasize adaptability, collaboration, and iterative progress, yet challenges, vague user stories, and stakeholder misalignment persist. The results indicate that AI-assisted teams achieved a 40% reduction in ambiguous user stories, a 15% improvement in delivery speed, and an increase in stakeholder satisfaction from 5.32 to 7.77 compared to traditional teams. In this case, AI-enabled teams demonstrated improved sprint planning, backlog prioritization, and requirement clarity. Future research should focus on expanding AI applications within Agile workflows, such as seamless tool integration, and conducting longitudinal studies to assess AI's long-term impact. The research demonstrates how AI addresses communication gaps in the development cycles to maximize their effectiveness and make Agile software engineering more collaborative and efficient.

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