The popularity of intelligent programming has put pressure on some software practitioners, and there is also discussion in the community that “artificial intelligence will replace programmers.” On September 11, at a press conference on the “Artificial Intelligence+Software” Special Action Implementation Plan held by the Ministry of Industry and Information Technology, Lu Weifeng, Vice Chairman and Secretary General of the China Software Industry Association, said that the current issue has received great public attention, and we also attach great importance to it. It is important to note that artificial intelligence is driving changes in software production methods, and software talent capacity structures and job requirements are adjusted accordingly. Lu Weifeng said that judging from the talent capacity structure, the first is that the weight of simple coding execution ability has declined, while requirements for skills such as understanding requirements, architecture design, system integration, quality and safety control have increased. These links have not weakened their reliance on the accumulation of experience; on the contrary, the requirements are even higher. Second, human-robot collaboration has become a new basic capability. It is becoming an essential skill for practitioners to accurately express development intentions, evaluate and verify generation results, and orchestrate multi-agent collaboration. Third, complex requirements have increased markedly, and there is an even greater shortage of talents who understand both software and industry knowledge. Recently, new roles such as front-line deployment engineers have emerged in the industry to go deep into the customer's business site to complete the adaptive delivery of products and services, placing high demands on technical ability and industry understanding. Looking at the job structure, on the one hand, existing jobs are facing restructuring. Repetitive coding tasks are gradually being carried out by intelligent programming tools, and job responsibilities are extended to upstream requirements and architecture, and downstream integration and operation. On the other hand, incremental jobs continue to emerge. The Ministry of Human Resources and Social Affairs has included generative artificial intelligence system applicators, etc. in the national job classification competition, added new types of jobs such as industrial software designers and generative artificial intelligence system testers, and is rapidly forming new jobs around smart device development, skill packages, knowledge map construction, and model operation. At the same time, it is also important to clearly see that incremental jobs created by new technology are not simply replacing existing jobs in equal amounts; the pressure on repetitive basic jobs and the shortage of complex talents may coexist in stages.

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