AI and Agile Software Development: From Frustration to Success -- XP2025 Workshop Summary

TL;DR

This workshop summary discusses the challenges and opportunities of integrating AI into Agile software development, highlighting shared frustrations, root causes, and a collaborative research roadmap for future progress.

Contribution

It presents a structured agenda and research directions to address practical challenges in AI-Agile integration, fostering industry-academic collaboration.

Findings

Identified key frustrations in AI-Agile integration

Prioritized root causes of challenges

Developed a research roadmap for future work

Abstract

The full-day workshop on AI and Agile at XP 2025 convened a diverse group of researchers and industry practitioners to address the practical challenges and opportunities of integrating Artificial Intelligence into Agile software development. Through interactive sessions, participants identified shared frustrations related to integrating AI into Agile Software Development practices, including challenges with tooling, governance, data quality, and critical skill gaps. These challenges were systematically prioritized and analyzed to uncover root causes. The workshop culminated in the collaborative development of a research roadmap that pinpoints actionable directions for future work, including both immediate solutions and ambitious long-term goals. The key outcome is a structured agenda designed to foster joint industry-academic efforts to move from identified frustrations to successful implementation.