Advertising prominently with "AI native" seems necessary today, at least for some folks. To me, that's kind of off-putting, since it doesn't really say anything.

Can anyone of the AI enthusiasts here explain, why, or, what is meant by

> As a compiled, statically-typed language, it's also ideal for agentic programming.

It's been really interesting to see all the desperation on hero pages for all these products and services ever since AI came into prominence. I think the funniest for me was opening IBM DB2 product page and seeing it labeled as 'AI database'. Hysterical.

> why, or, what is meant by More errors caught at compile time means an agent can quickly check their work statically without unit and other tests.

I don’t really consider myself an “AI enthusiasts”, but I do use it.

So, agents tend to do better the more feedback they can get. Type checking is pretty good for catching a bunch of dumb mistakes automatically.

The point is more hints for the agent is more better most of the time.

I don't know what they meant by it, and I share your opinion that "AI native" is somewhat meaningless for a programming language like this.

Regarding compilation and static typing, it's extremely helpful to be able to detect issues at compile time when doing agentic programming. That way, you don't run into as many problems at runtime, which of course the agent has more difficulty addressing. Unit tests can help bridge the gap somewhat but not entirely.

What's not stated on their website is that Mojo is likely a bad choice for agentic programming simply because there isn't much Mojo training data yet.

Because a coding agent (when instructed well) will try to make a piece of code work in a loop. Static typing and compilation help in the process (no more undefined variables discovered at runtime for instance). But that’s not bullet proof at all as most of us know

https://mojolang.org/docs/tools/skills/