Core Insights - The article argues that technology does not replace skills but rather elevates them to a higher dimension, as evidenced by historical trends in the tech industry [1][11] - The narrative surrounding AI programming tools suggests they will replace programmers, but the reality is that they will lead to a transformation of roles rather than elimination [3][12] Group 1: Historical Context of Technology in Programming - Previous technological advancements, such as no-code and low-code tools, were expected to eliminate the need for programmers but instead created new high-paying roles like no-code experts and backend integration engineers [5][6] - The cloud computing revolution did not eliminate system expertise; instead, it transformed roles, leading to the emergence of DevOps, which commands significantly higher salaries [7][8] - Offshore development was initially seen as a cost-saving measure, but it faced challenges related to communication and quality, leading to a realization that effective software development requires deep business understanding and collaboration [9][10] Group 2: The Current AI Programming Assistant Revolution - AI programming assistants promise to automate code writing, but early experiences show that AI-generated code often contains errors, requiring experienced engineers to spend time correcting them [10][12] - The article emphasizes that while AI can optimize specific functions, it struggles with overall system design, which is crucial for maintaining a sustainable codebase [12][14] - The ability to design system architecture remains a critical skill that AI cannot replicate, highlighting the ongoing need for skilled engineers in the industry [4][14]