i don't think there's anything to gain here that you don't already get with good autocompletion.
i wonder how a trained stenographer on a chorded keyboard would compare to a trained typist with a good english language model backed autocomplete and a ui built for speed on a classic qwerty keyboard.
I'd be ok with it being "as good" as my current coding setup, at least if it improves my other typing speed. A vast majority of my correspondence these days involves me typing (as I've made , so being able to speed that up would still be cool, though I doubt it's going to be a categorical difference in my day-to-day life.
curious how it will work out. you'll have to learn new chords for the standard alphanumeric characters and then a chunking/chording scheme where the space of chunking schemes and associated chords for computing and coding is vast.
my understanding is that classic stenography is actually phonetic. so the chords match up to phonemes or phoneme like chunks which are then postprocessed to reconstruct english text.
a new approach using english language could be more data driven. a simple mapping could be one chord to one word with words sorted by frequency and easier chords assigned first. more complicated approaches involve chunking up the words into frequently used chunks and then doing the same.
code is harder, there are frequently reused strings, but they change from technology to technology. overall there is far more entropy in computing than english on a character by character level, so designing a chording scheme that is more efficient and isn't tied too much to a specific domain is actually a really hard problem, especially once you consider that the effectiveness of a given scheme is not only a function of how well it fits the problem (how often the user is actually entering things the scheme was designed for) but also how well users are able to learn the vocabulary of chords and the dexterity to execute them quickly.
i wonder how a trained stenographer on a chorded keyboard would compare to a trained typist with a good english language model backed autocomplete and a ui built for speed on a classic qwerty keyboard.