Nvidia CEO Jensen Huang caused a stir when he declared recently that kids no longer need to learn to code - AI will do that for us.
Yet, while coding as we know it is indeed facing disruption, the creative, problem-solving essence of computer programming is likely to remain a largely human endeavor for the foreseeable future. Rather than replacing programmers outright, AI-powered tools are augmenting their capabilities, enabling them to write more code faster.
But fluency in programming languages is not the only skill that software developers need. The discipline of writing code requires a strong foundation in logic, problem-solving, and analytical thinking. Learning to code is a building block in acquiring these other skills, much as arithmetic and algebra are building blocks for advanced mathematics.
And, as AI becomes increasingly powerful and autonomous, there is also a safety reason why we need humans who can code. “If you aren’t the one piloting the vehicle, the AI is the one learning, and you are just sitting in the passenger’s seat,” Harvard University professor, the chess champion and author of Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins, notes that “if the machine is programming itself, who knows what it might do.
The future of programming will likely involve a collaboration between human developers and AI-powered tools. Programmers will need to adapt their skills to effectively leverage these tools while still maintaining a deep understanding of programming concepts and best practices. For now, AI-assisted coding will free programmers from mundane, repetitive tasks, allowing them to focus on higher-level creative problem-solving. Aspiring coders of the future may need to shift their focus from mastering specific programming languages to understanding fundamental programming concepts and learning to effectively collaborate with AI systems.
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