The integration of large language models (LLMs) into the life cycle of information systems (ISs) is transforming traditional methodologies across multiple phases, from planning and design to monitoring and maintenance. This chapter provides a comprehensive survey of the most impactful research on LLMs in key IS life cycle stages, analyzing their applications, benefits, and limitations. Through a literature review, we examine how LLMs are utilized and can be leveraged across different phases of the IS life cycle: planning, design, development, testing and validation, and monitoring and maintenance. Additionally, we analyze their role in tasks that, while not strictly part of the IS life cycle, are increasingly relevant, such as information extraction and data analytics. This chapter provides an in-depth analysis of recent LLMs applications in each phase, evaluating their impact on traditional methodologies and assessing their effectiveness in automating processes, improving decision-making, and enhancing overall system efficiency.