Not sure why you got downvoted, this is basically the logical conclusion of programming in some sense. Sure, generating code from docs via an LLM will be riddled with bugs, but it's not like the sloppy Python code some postdoc in a biology lab writes is much better. A lot of their code gets to be correct via trial and error anyway.
"Professional" programmers won't rely on this level of abstraction, but that's similar in principle to how professional programmers don't spend their time doing data analysis with Python & pandas. i.e. the programming is an incidental inconvenience for the research analyst or data scientist or whatever and being able to generate code by just writing english docs and specs makes it much easier.
The real issue is debuggability, and in particular knowing your code is "generally" correct and not overfit on whatever specs you provided. But we are discussing a tractable problem at this point.
"Professional" programmers won't rely on this level of abstraction, but that's similar in principle to how professional programmers don't spend their time doing data analysis with Python & pandas. i.e. the programming is an incidental inconvenience for the research analyst or data scientist or whatever and being able to generate code by just writing english docs and specs makes it much easier.
The real issue is debuggability, and in particular knowing your code is "generally" correct and not overfit on whatever specs you provided. But we are discussing a tractable problem at this point.