zendist

> models write much better code than humans can

What? I think this is either over exaggerating model capabilities or you haven't seen much good code from humans?

My experience is that my colleagues which have bought into model-first development have regressed in quality of the PRs they send out. LLMs are not better coders, in my experience. They lack holistic understanding and often need course correction for that reason. At least in medium to highly complicated systems.

Ahead of their time ;-D

The goal post keeps moving because LLM hypeists keep saying LLMs are "close" to AGI (or even are, already). Any reasonably intelligent individual that knows anything about LLMs obviously rejects those claims, but the rest of the world doesn't.

An AGI would not have problems reading an analog clock. Or rather, it would not have a problem realizing it had a problem reading it, and would try to learn how to do it.

An AGI is not whatever (sophisticated) statistical model is hot this week.

Just my take.

Talking about doing it is virtue signaling.

Don't just say, do! If you have a popular repository, share news of your migration to drive others to do the same.

VOTE WITH YOUR FEET, PEOPLE!

Regardless. You should still respect robots.txt..

Regardless. You should still respect robots.txt..

Source?

Weird.

The main benefit for me to just know and primarily use mermaid is that it integrates with markdown in Azure DevOps and GitHub seamlessly. No need for a text to image build step or similar.

There are many overlaps with SolidJS. How is this project different, ignoring the obvious; that you don't support JSX.

This reminds me a bit of MSFTs Kusto language. Such an immensely useful way to slice and dice large amounts of structured data.

This is false. GDPR is not ignored, I can tell you that much.

If you were to build a library like `rill` in the Go-way, what would your Batch API usage look like?

How in the world did they come up with the obfuscated code for this? Surely they must be using a tool?