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Investment Surge in AI Startups: The Case of Magic

The debate about whether to learn to code is heating up. Some say coding is not needed because of new AI tools. Others argue that coding still matters. This article will explore both sides of the argument.

First, let's consider why some think learning to code is not needed. AI tools can now handle many tasks that once required coding skills. For example, AI can write code snippets or even entire programs. This can save a lot of time and effort for those who might find coding hard.

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Also, AI tools are becoming more user-friendly. This means that people can use AI without needing deep coding skills. They can focus on their main tasks, letting AI handle the coding part. This can be helpful for those starting their careers. They can use AI to boost their productivity without spending years learning to code.

However, there are strong arguments for learning to code. Understanding coding helps people know how AI works. This knowledge can make them better at using AI tools. They can also troubleshoot problems that might come up, which AI tools might not handle well.

Another reason to learn coding is job security. AI tools are good, but they are not perfect. Companies still need skilled coders to create and maintain these AI tools. Learning to code can open up many job opportunities.

Learning to code can also boost problem-solving skills. Coders learn how to break down complex problems into smaller tasks. These skills are useful in many other areas of life and work.

In conclusion, both sides of the argument have valid points. AI tools can make certain tasks easier, reducing the need for coding skills. However, understanding coding can offer deeper insights, job security, and valuable problem-solving skills. Deciding whether to learn to code depends on individual goals and the specific demands of their career path.

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