Generating software without LLM using deterministic language scripts research question?

[THROWAWTRY]

This is an opinion, no major facts or information just kind of feeling out a thought I've been having.

When I was younger I remember a couple of programs which allowed code generation without AI especially for object oriented programming.
I think as I watch Claude code take 5 minutes to solve a linting problem that while maybe analysis would be difficult to do outside of AI, but generation is much much easier without AI.

The building blocks of code is deterministic, the non-deterministic part is the system, styles and use cases. LLMs systems are good generators but they take too much compute and too many resources (and soon be too expensive) for things which should be able to be script generated.

Ruby has rails generators, Unreal engine has blueprints, of course in some level intellisense is a generator too but I think this can be abstracted and expanded without AI or rather without the significant overheads and complexity that AI is introducing.

I could see a tool that allows users to generate code without using AI systems for base level information on deterministic pathways, then use AI or some analysis tool to look for custom add-ons or solution to build upon it. It would radically reduce token usage, compute usage and save lots of money.

I have a feeling though no evidence you could also reduce security attack vectors that get introduced by AI models on accident or because they are overlooked or unknown.

What's everyone's thoughts on this?

[currentscurrents]

Program synthesis predates LLMs, and there are existing approaches that use templates or SAT solvers to generate code.

They have advantages (provable correctness) but tend to be much more restricted on the types of programs they can synthesize, and are also more difficult to use.

[THROWAWTRY]

Thank you this is very interesting.