Embracing LLMs is definitely a correct and even necessary direction for software enterprises to improve quality and efficiency. However, achieving systematic and comprehensive intelligent software development still requires careful consideration and there is much fundamental work to do. For enterprises, solidifying the digitization and knowledge accumulation of software development, as well as the fundamental capabilities of software engineering such as requirement analysis, design, and validation, remains crucial and is also a basic condition for achieving higher levels of intelligent development. For academic research, there is still much work to do in the direction of systematic and comprehensive intelligent software development. This also requires us have a deeper understanding of the complexity of software systems and software requirements and design, based on understanding the capabilities of LLMs.

拥抱LLM绝对是软件企业提质增效的正确甚至必要的方向。但实现系统化、综合性的智能软件开发仍需要深思熟虑，还有很多基础工作要做。对于企业来说，夯实软件开发的数字化和知识积累，以及需求分析、设计、验证等软件工程的基础能力仍然至关重要，也是实现更高水平智能化开发的基础条件。对于学术研究来说，系统性、综合性的智能软件开发方向还有很多工作要做。这也要求我们在了解LLM能力的基础上，对软件系统的复杂性以及软件需求和设计有更深入的了解。