LLMs can be very impressive, but "coding" can be a lot more than traversing a btree or sorting an array. There is software engineering, which is probably what

LLMs can be very impressive, but "coding" can be a lot more than traversing a btree or sorting an array. There is software engineering, which is probably what most well paid devs do a little bit too much of, which is requirements analysis, planning, talking to the customer, estimating, etc. Sure an AI could help with all of that, but leaving that entirely up to an AI probably wont work for a very long time. You'd need a real AGI to take over work that has that many social aspects and requires that much planning and consideration. There is algorithms and datastructures, which is important for developers to learn, but usually not important to write yourself unless thats literally your job. There, LLMs could help with understanding, possibly visualizing these algorithms, and providing example use cases. There are hobby projects, which generally wont be done with any AI by most people I know, since the point is to program for fun. AI can help with that, e.g. for inspiration or example implementations of little weird algorithms. There is maintenance. Once a product, especially a B2B product, reaches maturity, a lot of the work is bugfixing, smaller features, updating dependencies, porting to new platforms, etc. I could see LLMs taking some of this work away, which everyone would probably appreciate. In the end, I believe that AI and in particular LLMs just help programmers, and will maybe replace the 6€/hour outsourced copy paste programmers, but that is... not very scary.