With the rise of large language models I have a lot more faith in "as code" approaches and a lot less faith in "low-code" or "no-code" approaches to doing the same thing. Large language models expand the workforce capable of using Python and Markdown at all, and they make that workforce more efficient.

I honestly think people who used toolsets that abstracted the code away from them (But still obviously used code under the hood, just indirectly) screwed themselves over. A tool like this provides abstraction while still allowing for text-based input and that's a winning combination moving forwards.