This paper synthesizes the key findings from a full-day XP2025 workshop on "AI and Agile: From Frustration to Success", held in Brugg-Windisch, Switzerland. The workshop brought together over 30 interdisciplinary academic researchers and industry practitioners to tackle the concrete challenges and emerging opportunities at the intersection of Generative Artificial Intelligence (GenAI) and agile software development. Through structured, interactive breakout sessions, participants identified shared pain points like tool fragmentation, governance, data quality, and critical skills gaps in AI literacy and prompt engineering. These issues were further analyzed, revealing underlying causes and cross-cutting concerns. The workshop concluded by collaboratively co-creating a multi-thematic research roadmap, articulating both short-term, implementable actions and visionary, long-term research directions. This cohesive agenda aims to guide future investigation and drive the responsible, human-centered integration of GenAI into agile practices.
Cite
@article{arxiv.2508.20563,
title = {AI and Agile Software Development: A Research Roadmap from the XP2025 Workshop},
author = {Zheying Zhang and Tomas Herda and Victoria Pichler and Pekka Abrahamsson and Geir K. Hanssen and Joshua Kerievsky and Alex Polyakov and Mohit Chandna and Marius Irgens and Kai-Kristian Kemell and Ayman Asad Khan and Crystal Kwok and Evan Leybourn and Munish Malik and Dorota Mleczko and Morteza Moalagh and Christopher Morales and Yuliia Pieskova and Daniel Planötscher and Mika Saari and Anastasiia Tkalich and Karl Josef Gstettner and Xiaofeng Wang},
journal= {arXiv preprint arXiv:2508.20563},
year = {2025}
}