I haven’t had much luck with it writing stuff from scratch, but it does a great job of helping with debugging and figuring out why complex equations are doing what they’re doing.

I put together a pretty complex shader recently, and gpt 3.5 did a great job of helping me figure out why it wasn’t doing quite what I wanted.

I wouldn’t trust it to code anything without my input, but it’s great for advice and explanations and certain kinds of problem solving. Just don’t assume it has the right answer, you still have to do the work

Well, it’s terrible at factual things and counting, and even when it comes to writing code it will often hallucinate APIs and libraries that don’t exist - But when given very limited-scope, specific-domain problems with enough detail and direction, I’ve found it to be fairly competent as a rubber ducky for programming.

So far I’ve found ChatGPT to be most useful for:

1. Writing SQL. Seriously, it’s fantastic at writing SQL if you tell it the relevant schema and what you’re trying to achieve.
2. Brainstorming feature flow - Tell it the different parts of a feature, ask for thoughts on how the user should be guided through the process, and it does a decent job of suggesting ideas.
3. Generating alternative names/labels for buttons and such. “In X feature, I have a button that does Y when the user has Z. Currently I have that button labelled ‘Start Y’, but it feels robotic and impersonal. List 10 suggestions for what such a button could say to be more personal and friendly.” and the like. My favorite was a button that was labelled “Map Incoming Data to Job Details”. Wound up renaming the whole process to just “Job Ingestion” because it sounded so good.
4. Reformatting data. Give it a data structure and tell it you want that data in some other data structure, and it is really accurate at reformatting it. I don’t think I’d trust it with a huge amount of data that way, but for an unimportant one-off it was a nice time savings.