I just don’t trust these tools to write code as efficiently as I can, knowing they are just backed by LLMs. If I have to spend my time vetting what they spit out to ensure correctness, efficiency, security, etc, then I might as well just do it myself from the beginning. I’m sure some find these tools useful and timesaving, but they’re not for me.

I often use Bing AI when I forget some syntax or need a quick explanation of some api

I used to ask things on the chat. But now when I think on trying I end up thinking on how I’m going to have to deal with trying to avoid it making things up and it puts me off.

I’ve been using ChatGPT4, through the phind.com web site because it allows one to include web links which phind.com pulls information from and then includes within the context info delivered to ChatGPT4. This has proved to be invaluable when trying to figure out new libraries - I just include a link to their documentation and start asking my specific integration/usage questions.

I’ve also been learning how to write my own Stable Diffusion implementation, and Phind.com’s context packing functionality has been extremely helpful explaining and describing how components work, how they integrate, and explaining the aspects of the papers this work is based I am not confident I completely understand. It’s a tireless explainer, which never gets bored and always responds with a chipper attitude.

I still have copilot on but I find it not really useful beyond very simple things. It is a smarter autocomplete, so it’s nice. But you always need to have your brain turned on because it definitely invents things.

It’s also sometimes entertaining when it makes things up. I especially enjoy when it makes up entries in the changelog.

As for ChatGPT, I use it occasionally mostly for tedious things I don’t want to spend time on. But I’ve definitely used it less lately. The hyper has faded.