Agents can simply be told to write code in a functional style. They won’t complain. Think of it like a constraint system or proofs system. The agent can better reason about the code and side effects. Etc. Agents are very good at following and validating constraints and hill climbing. This makes sense to me. Humans benefit too, but it is hard to get a bunch of humans to follow the style and maintain it over time.

Agents are useful because they don't inherit context from their parent context. They're basically "compaction" at a small scale. They succeed because context pollution create greater indeterminancy. The fact that you can spin up many of them is not primary benefit of them.

Hmm? How does this relate to functional programming helping agents code better?

> The agent can better reason about the code and side effects. Etc. Agents are very good at following and validating constraints and hill climbing

You're treating an agent like its something other than an LLM with limited context. I'm just trying to surface a incorrect assumption.

You're just talking about LLMs. Whether they're a child of a primary LLM is irrelevent to your conception.

It'd be interesting if you posited that LLMs doing functional style could handle more context without service degradation.