[Reubend]

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.

[boxed]

I've recently used Claude to write quite a bit of mojo (https://github.com/boxed/TurboKod) and I can quite confidently say that Claude will write deprecated mojo syntax a lot, but the compiler tells it and it fixes it pretty fast too. The only reason I notice is that I look at Claude while it's working and I see the compilation warnings (and sometimes Claude is lazy and doesn't compile so I have to see it).

But yea, to write mojo 1.0 code even after getting errors might take a new training round, so next or even next-next models.

[msaelices]

Have you used the Mojo syntax skill with modern LLMs? It is updated to latest Mojo and I can say nearly 100% of my code is written by AI, with good quality, and the compiler helping it too.

[boxed]

Nope. Claude just gets along quite well out of the box.