That would be the case of this were actually AI. But LLMs actually do procedurally generate language in a fairly human way, so using human languages makes sense to me.
The problem with this is that we can't get rid of the baggage of higher and higher level of libraries and languages that exist to accommodate humans.
I agree that it makes sense to use these currently but IMHO the ultimate programming will be human readable code-free, instead the AI will create a representation of the algorithm we need and will execute around it.
Like having an idea, for example if you need to program a robot vacuum cleaner you should be able to describe how you describe it to behave and the AI will create an algorithm(an idea, like "let's turn when bump into a wall then try again") and constantly tweak it and tend it. We wouldn't be directly looking at the code the AI wrote, instead we can test it and find edge cases that a machine maybe wouldn't predict(i.e. the cat sits on the robot and blocking the sensors).
What makes the AI context window immune to the same issues that plague us humans? I think they will still benefit from high level languages and libraries. AIs that can use them will be able to manage larger and more complex systems than the ones that only use low level languages.
I agree that it makes sense to use these currently but IMHO the ultimate programming will be human readable code-free, instead the AI will create a representation of the algorithm we need and will execute around it.
Like having an idea, for example if you need to program a robot vacuum cleaner you should be able to describe how you describe it to behave and the AI will create an algorithm(an idea, like "let's turn when bump into a wall then try again") and constantly tweak it and tend it. We wouldn't be directly looking at the code the AI wrote, instead we can test it and find edge cases that a machine maybe wouldn't predict(i.e. the cat sits on the robot and blocking the sensors).