alt Hacker NewsThe constraints enforced in the language still matter. A language which offers certain correctness guarantees may still be the most efficient way to build a particular piece of software even when it's a machine writing the code.
There may actually be more value in creating specialized languages now, not less. Most new languages historically go nowhere because convincing human programmers to spend the time it would take to learn them is difficult, but every AI coding bot will learn your new language as a matter of course after its next update includes the contents of your website.
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> but every AI coding bot will learn your new language as a matter of course after its next update includes the contents of your website.
That's assuming that your new, very unknown language gets slurped up in the next training session which seems unlikely. Couldn't you use RAG or have an LLM read the docs for your language?
In addition, I think token efficiency will continue to be a problem. So you could imagine very terse programming languages that are roughly readable for a human, but optimized to be read by LLMs.
Those constraints can be enforced by a library too. Even humans sometimes make a whole new language for something that can be a function library. If you want strong correctness guarantees, check the structure of the library calls.
Programming languages function in large parts as inductive biases for humans. They expose certain domain symmetries and guide the programmer towards certain patterns. They do the same for LLMs, but with current AI tech, unless you're standing up your own RL pipeline, you're not going to be able to get it to grok your new language as well as an existing one. Your chances are better asking it to understand a library.
> every AI coding bot will learn your new language as a matter of course after its next update includes the contents of your website.
How will it "learn" anything if the only available training data is on a single website?
LLMs struggle with following instructions when their training set is massive. The idea that they will be able to produce working software from just a language spec and a few examples is delusional. It's a fundamental misunderstanding of how these tools work. They don't understand anything. They generate patterns based on probabilities and fine tuning. Without massive amounts of data to skew the output towards a potentially correct result they're not much more useful than a lookup table.
> every AI coding bot will learn your new language
If there are millions of lines on github in your language.
Otherwise the 'teaching AI to write your language' part will occupy so much context and make it far less efficient that just using typescript.