[TomBers]

One aspect of using LLM's to code that I have not seen mentioned is the "loss of attachment" to code in my projects.

For example, working on my project (https://mudg.fly.dev) I wanted to experiment with a new FE graph library. I asked an llm the fantastic (https://tidewave.ai) and it completely implemented a solution, which turned out to be worse than the current solution.

If I had spent many hours working on a solution I might have been more "attached" to the solution and kept with it.

Perhaps this is a good thing? (https://en.wikipedia.org/wiki/Nonattachment_(philosophy))

[raziel2p]

Have you considered that LLMs are also biased against new languages and libraries, so the code quality will be worse compared to something more established regardless of what you personally think/feel?