Don't be. There are some use cases that fit very well.

For example, we plan to use GPT-4 for generating text that ends up being seen and read by our customers. (Can't disclose the details, as it's near to core of our business model.) We need a _lot_ of text, and its in style that is time-consuming to think and write by hand. However, all the generated data is checked for correctness by humans. I think that these tips are excellent for designing the generating process so that the end result is of as high quality as it could reasonably be expected to be.

Edit: Oh, you mean coding work as for generating code for developers? Not in the sense of using it as a component of a data-generating/transforming system? In that case, I pretty much agree.

Edit2: Oof, I just realized that I mistook this whole thread for another thread that was posted earlier on Hacker News. So I thought we were talking about engineering systems that has GPT-4 as a subsystem: https://platform.openai.com/docs/guides/gpt-best-practices