mlsanityData to 14 Oct 2026

Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistants

arXiv 2404.14871 ↗First posted 23 Apr 2024cs.SE cs.AI cs.HCcited by 9

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Abstract (arXiv)

This action research study focuses on the integration of "AI assistants" in two Agile software development meetings: the Daily Scrum and a feature refinement, a planning meeting that is part of an in-house Scaled Agile framework. We discuss the critical drivers of success, and establish a link between the use of AI and team collaboration dynamics. We conclude with a list of lessons learnt during the interventions in an industrial context, and provide a assessment checklist for companies and teams to reflect on their readiness level. This paper is thus a road-map to facilitate the integration of AI tools in Agile setups.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 4 of its 24 references that are in the map. First posted on arXiv 23 Apr 2024.

Builds on

4 of 24 references.

References · 4

  1. 2023On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilotcited by 64
  2. 2023Generative Artificial Intelligence for Software Engineering -- A Research Agendacited by 23
  3. 2021What Makes Agile Software Development Agile?cited by 4
  4. 2022DASP: A Framework for Driving the Adoption of Software Security Practicescited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 5; 2026: 3.

9 papers.