一句话：通过管理者工作坊，梳理 LLM 在软件工程任务中的适用性、管理/教育作用及落地挑战。
生成式 AI（GenAI）在自动化任务、提升生产力和软件质量方面展现出潜力，而管理者在战略规划与团队协调中对其采纳至关重要。本文研究管理者认为适合由大语言模型（LLM）承担的软件工程任务，以及管理和教育在软件工程实践中的作用。作者回顾了当前实践中的应用，并探讨实施中遇到的挑战。研究通过邀请来自不同组织的管理者参加工作坊，收集他们对 LLM 在代码开发、调试、文档和培训等领域日益广泛使用的见解。讨论指出了若干关键关切，包括知识产权、质量保证和集成困难。总体而言，若技术和组织挑战得到妥善处理，LLM 有可能变革软件工程实践。
Generative artificial intelligence (GenAI) has shown a strong potential to automate tasks, increase productivity, and enhance software quality. Managers have an important role in adopting GenAI as they lead strategic planning and team coordination. This study examines the software engineering tasks that managers consider suitable for large language models (LLMs), as well as the role of management and education in software engineering practices. The study reviews current applications in practice and explores the challenges encountered during implementation. We conducted a workshop with managers from diverse organizations to collect insights on the growing use of LLMs in areas such as code development, debugging, documentation, and training. The discussion highlighted several key concerns, including intellectual property issues, quality assurance, and integration difficulties. Overall, our findings suggest that LLMs can potentially transform software engineering practices if technical and organizational challenges are carefully addressed.