The field of software engineering is undergoing a significant transformation with the integration of Generative AI (GenAI). Recent developments suggest that GenAI is being increasingly used to support design ideation, rapid creation and refinement of artifacts, and architectural decision support. However, there are also concerns about the risks associated with GenAI, such as opacity and bias, and the need for emerging skills and competencies, including prompt engineering and model evaluation. The field is moving towards a more automated and adaptable approach to software development, with a focus on human-AI collaboration and the development of novel compilers and software-defined systems. Notable papers in this area include: Compiler.next, which proposes a search-based compiler to enable the seamless evolution of AI-native software systems. A Research Roadmap for Augmenting Software Engineering Processes and Software Products with Generative AI, which provides a roadmap for GenAI-augmented software engineering and identifies four fundamental forms of GenAI augmentation in SE.