[yen223]

I use LLMs to write "secondary" code. Things like deployment scripts, autoformatters, Github Actions, Dockerfiles or Kubernetes config. Stuff that isn't strictly part of the main web project, but is still valuable to have. I use LLMs there because

a) those tend to be boilerplate, and LLMs are great for boilerplate, and

b) code quality doesn't really matter too much, and

c) those tend to be written in languages that you may not be well-versed in, since they usually aren't in the "primary" language of the project

[hack_fraud13]

Yeah ironically enough I think what’s cutting edge about LLMs is their ability to let you spend more time in the command line and less in the gui. With AI writing the time cost/opportunity cist of writing shell scripts is so low, even if you find yourself working on a machine you’re not used to (e.g. Windows for linux users).