[nottorp]

What do the experts in learning say? Preferably some that don't work for the LLM peddlers.

In my non expert opinion, you learn a lot from at least two things that using a LLM short circuits:

1. Repetition. When you've initialized a bunch of UI controls 100 times, it's safe to let the machine write that for you, take a look and correct what it hallucinated. When you've only done it twice, you'll miss the hallucinations.

2. Correcting your own mistakes. Quality time with the debugger imprints a lot of knowledge about how things really work. You can do said quality time correcting LLM generated code as well, but (see below) it will take longer because as a junior you don't know what you wanted the code to do, while if it's your own you have at least that to start on.

Management types are extatic about LLMs because they think they'll save development time. And they do save some, but after you spend the time to learn yourself what you're asking them to do.

[tmpz22]

The California State University system just announced a huge AI initiative [1] to become "the First and Largest AI-Empowered University System" - they're announcement post includes testimonials from: AWS, Nvidia, OpenAI, Microsoft, LinkedIn, Instructure, Google, and Adobe.

As long as big tech is writing the curriculum juniors are going to use what big tech wants them to use.

[1]: https://www.calstate.edu/csu-system/news/Pages/CSU-AI-Powere...

[paulcole]

Who cares what the experts say? Look for yourself and see what applies in your specific situation.