In times of uncertainty, concerns about AI taking over coding jobs resurface, highlighting the fear of technological advancements leading to unemployment. Generative AI has greatly benefited coders, revolutionizing coding with its ability to generate code from natural language prompts. However, debates on the future of coding as a profession have arisen due to AI's capability to automatically discover code bugs.

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Despite the rise of AI programming assistants like Copilot and CodeAssist, experts argue that the fear of job loss is misplaced. These AI tools can assist developers, streamline coding processes, and enhance code quality but cannot replace human programmers. Furthermore, the effectiveness of AI models is limited by context length, making a "human in the loop" approach more practical for developing complex enterprise-level software. While AI has increased coder productivity, it has also introduced new complexities, emphasizing the continued importance of studying traditional programming languages like C++.

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