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Programmers need to constantly improve their technical skills and master new programming languages ​​and frameworks. For example, Python is widely used in data science and machine learning, so programmers must be familiar with related libraries and algorithms. At the same time, mastering cloud computing, containerization and other technologies has also become crucial.

In addition, the development of AI has also created new application scenarios for programmers. In the fields of medicine, finance, transportation, etc., using AI technology to develop intelligent solutions has become a hot direction. Programmers can participate in these projects, combine their own technology with industry needs, and create products with practical value.

However, facing the impact of AI, programmers are also facing employment pressure. Many companies may reduce the recruitment of traditional programming positions and instead seek talents with AI-related skills. This requires programmers to actively transform and improve their abilities in the field of AI through learning and practice.

In general, the era of generative AI brings more possibilities to programmers, but they also need to bravely face challenges and constantly evolve their skills and ways of thinking in order to gain a foothold and succeed in this rapidly changing industry.