Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistants
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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
- 2023On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilotcited by 64
- 2023Generative Artificial Intelligence for Software Engineering -- A Research Agendacited by 23
- 2021What Makes Agile Software Development Agile?cited by 4
- 2022DASP: A Framework for Driving the Adoption of Software Security Practicescited by 2
Built on by
Citing papers per year: 2024: 1; 2025: 5; 2026: 3.
9 papers.
- 2024AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworkercited by 11
- 2026The State of Generative AI in Software Development: Insights from Literature and a Developer Surveycited by 2
- 2025Large Language Models in Code Co-generation for Safe Autonomous Vehiclescited by 1
- 2025AI and Agile Software Development: From Frustration to Success -- XP2025 Workshop Summarycited by 1
- 2025LINC: Supporting Language Independent Communication and Comprehension to Enhance Contribution in Multilingual Collaborative Meetingscited by 0
- 2025DevNous: An LLM-Based Multi-Agent System for Grounding IT Project Management in Unstructured Conversationcited by 0
- 2025AI and Agile Software Development: A Research Roadmap from the XP2025 Workshopcited by 0
- 2026Comparing Large Language Models on Scrum Certification-Style Questions: Accuracy, Stability, and Error Patternscited by 0
- 2026Prompting GPT-5 on Scrum Certification Questions: An Empirical Accuracy Studycited by 0
- 2026Prompting GPT-5 on Scrum Certification Questions: An Empirical Accuracy Study29 Jun 2026
- 2026Comparing Large Language Models on Scrum Certification-Style Questions: Accuracy, Stability, and Error Patterns29 Jun 2026
- 2026The State of Generative AI in Software Development: Insights from Literature and a Developer Survey17 Mar 2026
- 2025AI and Agile Software Development: A Research Roadmap from the XP2025 Workshop28 Aug 2025
- 2025DevNous: An LLM-Based Multi-Agent System for Grounding IT Project Management in Unstructured Conversation12 Aug 2025
- 2025AI and Agile Software Development: From Frustration to Success -- XP2025 Workshop Summary25 Jun 2025
- 2025Large Language Models in Code Co-generation for Safe Autonomous Vehicles26 May 2025
- 2025LINC: Supporting Language Independent Communication and Comprehension to Enhance Contribution in Multilingual Collaborative Meetings26 Apr 2025
- 2024AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworker18 Oct 2024