We will start to see the emergence of frameworks and libraries (and languages?) that are optimised for LLM coding rather than human coding. Maybe - overly verbose and repetitive, but easy to generate correctly and very flexible? Or maybe super obscure syntax that allows an LLM to output much more information per token emitted?
At lot of current paradigms are about things like abstraction and DRY that matter to humans creating and maintaining a code base. An agent driving some LLMs will have other priorities.
It’s already easy to generate such things without LLMs. Gleam, another BEAM language, is intentionally very simple and can tend towards the verbose however because of strict typing the lsp has code actions that’ll generate most of that verbose code for you in a way that’s provably correct, instant, and doesn’t require a network connection. Maybe a gleam specific agent could utilize those code actions?