In the future, with the application of large models in the industry, the speed and ability of development will be accelerated. Will the demand for ordinary code farmers and engineers decrease? Will the company consider optimizing personnel in the future?

ThunderSoft: Hello. Code is only one part of the huge and complex software engineering management. Software engineering also includes a series of life cycle management from customer demand analysis, system design, coding, debugging and testing, delivery and deployment. AI technologies such as GPT-4 may be helpful in some links, but they cannot completely replace human participation in the entire software development process. For example, in the customer demand analysis stage, AI can assist in collecting and organizing customer needs, but demand analysis still requires engineers to communicate and discuss in depth with users in order to find the best solution, confirm needs and formulate corresponding strategies. In the coding stage, technologies such as GPT-4 can automatically generate code, but the generated code needs to be manually reviewed and adjusted to meet specific needs and standards. Therefore, AI technologies such as GPT-4 play a certain role in all aspects of software engineering, but they cannot completely replace professional software engineering work. Thank you for your attention!