> LLM can theoretically interpret and use the whole project based on this info.
That's the thing though, LLMs really can't. At least not to a degree that they are able to act on it at a same level as when trained on everything else including tutorials and such.
Languages and technologies that LLMs excel at are those that are widely spread with numerous examples.
Just plain documentation with just the api calls isn't enough to train a LLM on. They effectively learn from example.
So with just #1 and no longer #1 aimed at humans you will never get to a point where you can ask an LLM about the technology.
This is what prompted me to remark that I feel you haven't thought this through. Which you might have, but that makes me think you have a overly optimistic view of what data is enough to reliably train LLMs on.
Again, to stress the point, just documentation isn't enough. So you really do need humans adapting the technology first, widening the base of examples to train on.
That's the thing though, LLMs really can't. At least not to a degree that they are able to act on it at a same level as when trained on everything else including tutorials and such.
Languages and technologies that LLMs excel at are those that are widely spread with numerous examples.
Just plain documentation with just the api calls isn't enough to train a LLM on. They effectively learn from example.
So with just #1 and no longer #1 aimed at humans you will never get to a point where you can ask an LLM about the technology.
This is what prompted me to remark that I feel you haven't thought this through. Which you might have, but that makes me think you have a overly optimistic view of what data is enough to reliably train LLMs on.
Again, to stress the point, just documentation isn't enough. So you really do need humans adapting the technology first, widening the base of examples to train on.