Maybe using LLMs to generate DSL code will produce better (and more maintainable) results than fully-fledged languages?
You’ll hit a simple wall with AI, as with any tool, where you need domain knowledge and language to tell the thing what to do. The difference will probably be more SMEs who can tell the computer vs developers and product managers figuring out what the business wants.
Look at stable diffusion prompts. There’s an art to constructing the prompts - it’s just another form of programming.
It also helped me better understand the chatgpt API. N8n allows you to code in raw javascript or python which has allowed me to branch out to pure python.
I would say that no-code low code has a place as a stepping stone, that can allow other invested parties besides developers to manage inter departmental flow and build a blueprint that can be redone with actual engineers in the preferred manner.