I have a similar experience, but I still use LLMs, just a bit differently. I pretty much never ask it to generate complex code. I also rarely ask for definition

I have a similar experience, but I still use LLMs, just a bit differently. I pretty much never ask it to generate complex code. I also rarely ask for definitions or facts, cause of the tendency to generate garbage answers. What I use it for is usually tedious stuff that is easy to do, but would take me more time to type, rather than ask the LLM. For example: * I need a simple bash script for file manipulation or some simple tasks like setting up a project (example: download a secret from AWS SSM, check if an executable exist, if it doesn't write instructions on how to install it on most popular systems etc) * I need a simple HTTP API, nothing fancy, maybe some simple database usage, maybe running some commands, simple error handling * I need a YAML file for Kubernetes. I say what I need and usually, it gets most of it right * I want an Ansible task for some simple thing. Ansible is quite verbose, so it's often saving me time * I have a Kubernetes YAML file, but I want to manage it in terraform - I'll then ask to convert YAML to a terraform entry (and in general converting between formats is nice, cause even if you have only a piece of what you want to convert, LLMs will most of the time get it right) * Surprisingly, it often gets openssl and ffmpeg commands right - something I always have to google anyway, especially openssl certificates generation or manipulation * Giving it a function I wrote and writing test samples after providing a list of what it should test (and asking if it can come up with more, but sadly it rarely does generate anything useful on top of what I suggest)