We're getting closer to automate programmer's job too though. In the end it's a text problem - get a textual description (ticket) and generate code that fits it. We have models that can generate non-repeating art, why not non-repeating code?
I think we're getting close to strong AI there though, so I don't see it happening any time soon.
It's unclear which clause is meant to be negative or positive here. If we're close to strong AI, systems which ask clarifying questions would be close as well, no?
So yeah, an expert system that can read a natural language description of a feature and ask questions until it has enough detail to generate the code is science fiction in my opinion.
Having said that, maybe it could be achieved in a limited domain, SHRDLU-style. But that's just a way to deal with the ambiguity by excising it.
The issue is that natural language is often ambiguous. So what you want is to define a formal language that takes out the ambiguity.
Over the last decades, we have grown from writing assembly languae, towards ever more generic languages, that allow us to express the same idea with less effort.
I see programming advancing in this direction. It will still require training to 'speak' the formal language to communicate with computers, but it will always become easier and easier, only leaving computer scientists as a niche occupation to actually build the layers supporting the higher levels.