While I think the idea of LLM-based tooling and languages co-evolving is interesting, from this limited description, I think this isn't a helpful direction. >

While I think the idea of LLM-based tooling and languages co-evolving is interesting, from this limited description, I think this isn't a helpful direction. > “So instead of writing three applications, you write it in a special programming language, which is basically English, which describes how you want to see this application in a very specified way, and then AI agents, together with JetBrains tooling, will generate the code of all of these platforms,” Is the process of generating code for each platform from the high-level specification deterministic, predictable, and obeying some natural invariants? Or is it a stochastic and unpredictable? If Alice publishes her open source project with the specification code, and Bob has access to a slightly different set of models at a later date, will Bob be able to reproduce the same generated artifacts that Alice did? If you _can_ make everything deterministic and well-behaved, does it need to involve AI agents? Or can this effectively turn into an DSL which happens to be English-like, and a code-generation tool?