[wudangmonk]

This example seems to fall into the same shallow-knowledge or unfamiliarity with the domain which has been the conclusion of everyone that has tried to use chatgpt in their workflow.

If I'm doing something using a language/tool I'm not familiar with then chatgpt is useful because it is better than searching the docs since a lot of documentation is usually a wall of text with no usage examples.

Other than that, all the examples people provide regarding how much of a 'game-changer' chatgpt is always fall into the same google/stackoverflow use case at best or the vague planning/designing/unit-test which tells nothing at all.

[tuchsen]

That I can know almost nothing about VimScript and Hljs, yet be productive in both, is the game changer! It immediately makes me more ambitious and confident in my personal projects, because I know that at least, I can "fake it".

In a lot of cases (like my given example) the faking it is all I need. The only thing I needed to know about that JS syntax highlighting library was how to import it, the LLM handled the rest.

It saved me a ton of time! I don't think anyone is claiming that ChatGPT is going to immediately replace programmers anymore, but it is increasing the speed at which I can grind through problems I don't have deep knowledge in.

I wonder if these disagreements in ChatGPT's usefulness come down to peoples programming domains. I can see how if you're very knowledgeable and productive in a particular space, like say embedded C programming, and that's the only code you ever write, then ChatGPT doesn't have a lot to offer, because you already know everything you need to know to be effective.

ChatGPT's nice for exploratory programming, it makes me a more creative person, in the literal sense that I'm creating more stuff now then I ever have.