ChatGPT Should Worry You (As An Aspiring Developer)

DISCLAIMER: For the ironic appeal, the following description was written by ChatGPT.
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"As an aspiring developer, I’ve been following the rise of ChatGPT and GPT-4 quite closely. These large language models are incredibly powerful, and I’ve spent a lot of time wondering how they will affect the tech industry and my career path. Today, I want to share my biggest concern about these technologies and what we can do as developers to navigate the changes ahead.
One of the most significant benefits of ChatGPT and other large language models is their ability to expedite the process of debugging and troubleshooting code. As a new developer, I know firsthand how frustrating it can be to spend hours searching for solutions to common problems. With ChatGPT, you can simply plug in your code and let it analyze the error for you. In just a few seconds, it can often come up with a solution that would have taken me hours to find on my own.
While this is great in many ways, I worry that it could lead to complacency among new developers. With ChatGPT at our fingertips, it’s easy to rely too heavily on these technologies and abandon the fundamentals of programming. Refactoring, for example, can be a tedious and time-consuming process. Why spend hours tinkering with your code when you can just copy and paste it into ChatGPT and let it do the work for you?
But there’s a danger in excessive use of these technologies. If we’re not careful, we could end up building applications we don’t fully understand and couldn’t maintain without the use of ChatGPT or other large language models. This is particularly concerning when it comes to building maintainable projects. Plus, if an interviewer asks questions about your code and you can’t answer them because you didn’t author the code yourself, it could be quite embarrassing.
To avoid these pitfalls, I believe it’s essential to build up our fundamentals by actually building and debugging small projects on our own. We can start by searching for common projects, getting a rough idea of how they’re put together, and then writing out the pseudocode, building some basic components, and implementing functionality into the application. When we run into problems, we can use Google to research and troubleshoot on our own. By doing this, we gain a deeper understanding of common mistakes, where they come from, and how to troubleshoot them.
I also like Chris Sean’s approach of looking up outdated tutorial blogs. This way, we can follow a rough framework and have that structure in front of us, but we’ll run into bugs because of the outdated codebase. This forces us to debug deprecated functionality, refactor code that is not optimal, and learn about updates to languages and frameworks.
At the end of the day, we’re in charge of our own learning and development as developers. We have a choice to grind through tough problems ourselves and truly learn from them or take shortcuts and sacrifice the quality of our education. While large language models like ChatGPT can be incredibly useful, we need to be mindful of how much we rely on them and ensure we’re building our skills and knowledge on a solid foundation."

[@RajanSharma-xe1en]

What are your views on AI Replacing programmers? I am also learning to code but many people are saying that AI will replace coders in the near future.

[@ColbyJaxCodes]

The more I learn the less concerned I become. I think that AI will replace programmers the same way the sewing machine replaced seamstress workers in the industrial revolution. Sure a lot of the low level jobs disappeared over time but the average productivity of each worker went up drastically because of the tools at their disposal.

[@amaleabaish515]

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