AI can suggest different facilitation techniques for meetings. If you are having difficulty with Scrum Team members engaging in Sprint Retrospectives, for example, just ask the AI, "I am having a problem getting my Scrum Team to fully engage in Sprint Retrospectives any ideas?" This demonstrates how AI can enhance engagement and optimize Scrum ceremonies.
Naiburg compared the role of AI tooling to that of a pair-programming collaborator, illustrating that AI can be used to reduce cognitive load across the key roles of a Scrum team, improving efficiency and collaboration among team members.
AI provides developers with assistance in the team to help decompose and understand stories, as well as simplify activities such as prototyping, testing, code-generation, code review and synthesis of test data, showcasing the various functional advantages AI offers.
Böckeler described her experiment with LLMs to onboard onto an open source project and deliver a story against a legacy software project, highlighting the potential for AI to enhance the software delivery process and assist teams in navigating complex systems.
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