The field of software development is undergoing a significant shift with the increasing adoption of artificial intelligence (AI) and generative software reuse. This new paradigm is leading to the development of innovative approaches and frameworks that aim to mitigate the risks associated with AI-generated code and ensure responsible software development. Researchers are exploring the implications of AI-assisted generative software reuse and defining research agendas to tackle the central issues associated with this emerging approach. Noteworthy papers in this area include: DevLicOps, a framework for mitigating licensing risks in AI-generated code, which provides a practical approach to managing ACA-related licensing risks. On the Future of Software Reuse in the Era of AI Native Software Engineering, which discusses the implications of AI-assisted generative software reuse and defines a research agenda for tackling the central issues associated with this emerging approach. AI and Agile Software Development: A Research Roadmap from the XP2025 Workshop, which synthesizes the key findings from a workshop on AI and agile software development and provides a research roadmap for the responsible integration of GenAI into agile practices. Vibe Coding: Is Human Nature the Ghost in the Machine?, which examines the consistency of human-AI collaboration and challenges the assumption that human-AI collaboration is inherently more productive or efficient than human-human collaboration.