Is that true? It just goes right into the code with no initialization of any other libraries needed?

Two things I found a little confusing from the docs though:

I couldn't easily find a page describing what it can't do yet. I saw that it only works with a "strict, deterministic subset of TypeScript", but is there a page showing what's included and not included in that subset?

Also, what's an "ambient surface" in this context? Is that a compiler term I'm just not familiar with?

If someone can't take the time to write their own replies (in their own words), then it feels fair to assume that they didn't take the time to test, review, and clean whatever code they submitted.

DeepSeek V4 Pro: $0.87

Qwen 3.7 Max: $7.50

Grok 4.3: $2.50

GLM 1.5: $3.08

Opus 4.7: $25.00

GPT-5.5: $30.00

Is that not the case for DBs based on object storage because they cache data before sending it to the object storage? Or because they do some other processing on the DB server before it hits storage?

Super interesting idea... but I wonder if they're going to encounter a lot of resistance from users simply because this is far from the mainstream.

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.

Wrong. While table formatting can confuse an LLM in some cases, a natural language output in pure text is almost always better than JSON for small amounts of data. After all, LLMs have more natural language training data than JSON training data.

The fallacy that LLMs need machine readable outputs just because they're machines is pervasive and it's a huge misconception about the way these models work.

On the other hand, I agree that large amounts of data should be outputted in a machine readable way so that the LLM can run scripts over it for more advanced parsing.

You must not have much of an imagination then. Or maybe you're just being overdramatic? AI is arguably the best way to learn most subjects now. Frontier models have made a lot of progress on reducing hallucinations, and AI can teach you at whatever pace you're capable of learning it. There are very few topics it can't teach, and it can go into more depth than you'll find in any textbook.