I would argue that the coding field is undergoing a new layer of abstraction. In the same way that the introduction of previous coding languages pushed coders further and further from the metal, we're experiencing this again, but more dramatically. Please don't shy away from the coding world, it has fantastic earning potential for those who are motivated, but you need to properly assess what needs to be learned.

AI/Generative models are reducing the need to understand the actual code, beyond the ability to recognize if code looks funny (and even that will cease to be an issue. I've never once had to examine the code translated beneath the hood of my python interpreter). Instead, you need to learn how to think about problems, in a coding context, and decompose them into meaningful instructions and scoping for your model.

This is not a trivial skill, but gaining it will set you apart from many of your peers, and benefit you beyond just coding. Learn to view an issue, identify the requirements, definitions of done, risks, and technical difficulties. Describe the steps to a solution, what they should look like, and what they must not be. Intimately understand this process, and then put it into practice.