I’ve been away from Julia for several years now, mostly because my company and field doesn’t really use it so implementing it is very difficult when no one will be able to read my code or use my packages. I’ve been using AI agents extensively (like most I assume), they continue to get better and im…

My suspicion is that in the fullness of time, it will go the other way: AI agents will make (and perhaps already are making) Julia more relevant, not less. There are three reasons: they remove one of the main barriers to not trying Julia they allow Julia developers to fill gaps in the ecosystem qu…

Thanks for your response. Yes, you are correct, Julia would be just as easy, but the main factor is that our field still uses R day-to-day almost exclusively. My audience for Julia is very small, but growing slowly. With AI agents, I suppose this is no longer an issue, but users as we are discussing…

yes, thanks, I didn’t mean to say it was always faster, just that it can be extremely fast and then not have to worry about incorporating another language into our day-to-day work for users. If users are in R, then telling them to write 2 scripts for different parts becomes a tough sell (I found out…

Thanks, I will try to read these.

Wow, something I haven’t considered was token I/O costs. This seems like it could stack up over a huge codebase. I’m sure someone has looked into this but never crossed my mind. This is something I was looking for when I asked the question. I guess you could argue for speed/efficiency per agent task…

If you’re never in need to write cpp and can simply go with Rcpp all the time yes and you have R devs then yes I don’t see a reason to switch same thing if Numpy is enough for everything and you have python dev then yes no need to convert anything but the question shouldn’t be asked anyway. Now if i…

I have a good experience with generating code in Julia because of the possibility of reading the code and understanding it. That has been said. What I would add is that, I have the curiosity, about what happens if you tell an agent to write a Julia code (which is then readable) and then compile it …

I’ve been wondering about that too. Not for interfacing with other languages but use in GUIs. In GUIs the Julia latency is a killing feature because many things are run only once and per-compilation creates huge files.

You mentioned mixed model equations and, from other comments by you, I assume that you are looking at mixed models involving pedigrees. I am one of the authors of the MixedModels package which, in its present state, doesn’t fit models with pedigree information. However, we just finished a paper to…

My agents use Kaimon.jl to train models with Reactant, export them and serve them with ReactantServer.jl, and then call a test harness to evaluate the model in the context of one of our imaging solutions, all from just a single prompt. Agentic work flow is quite fast in Julia especially when you ta…

Is Julia still as relevant in the age of AI agents?

General Usage

mihalybaci October 7, 2026, 7:14pm 15

There was a post on token usage a while back. Maybe it will offer some insights.

tl;dr - Julia is near top of token efficiency and is ~2x more efficient that C++, which is near the bttom. R is not on the list unfortunately.

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Is Julia still as relevant in the age of AI agents?

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