Expose the sync queue to end user and train them to understand if they attempt to close the tab with a pending queue they will get the ugly prompt warning them

The prefix cache is working properly 100k doesn’t prefill more than once

We should port the zig std lib as a c lib

Haha jk…but really? Lol just kidding…unless?

You can also write Gherkin in markdown and have test fixtures for each given, when, then

So robo taxis are going to stalk us?

lol, I mean I wouldn't be surprised, but I don't think I was describing anything fundamentally different in principle from what Uber/Lyft/taxis already do. Like when you walk out of an airport or a super busy bar/club and there's already a line of cabs waiting for anyone who needs one to get in.

Crappy managers don’t know (or actively avoid) how to measure business value from individuals. So they need you to be in the office so they can physically see if you are putting in the effort.

Tokens is just yet another proxy for business value.

The problem they face is if everybody is judge by business value in dollars, crappy managers are the first to go

A human can sit down and say “I’m going to make sure this is correct on the first pass and make sure I make an exact copy.”

They have cognitive awareness of which tasks are highly critical and need more checking and re-checking without being prompted to think that way.

For a human, time doesn’t stop when the first pass of the prompt and response is over. An LLM effectively wipes its memory of what it just did unless something is keeping track of a highly resource constrained context.

An LLM is like an author of a book that immediately closes its eyes and wipes its memory after writing a chapter. Sure, it can pull some of that back in the next query via context, and it can regain context very quickly, but it effectively has no memory of the exact thing it just did.

When a human is doing these tasks there is a lot of room for mistakes but there’s also a wildly higher capacity for flowing through time.

The LLM makes typos for me all the time using AI autocomplete. It's caused a lot of frustration while coding, because it makes mistakes that I would not. When it does help, it's great, but the errors waste as much time as the LLM saves me. Even using agentic coding, AI is mostly break-even for me.

I do too! I also make higher level design errors and get too enthusiastic about projects before code is written.

We are, in a sense, fallible machines who have designed a planet-wide computational fabric around that fact.

I love coding with bun. It comes with everything.

For my projects I don’t even need any additional dependencies. I use vanilla dom and sqlite

The built-in sqlite and testing functionality is the reason I started using it over pnpm/Node.

Node has both built-in sqlite and testing functionality. Lots of reasons to like bun! But these two are interesting ones...

I hope Node eventually gets a WebSocket server like Bun has.

You don’t know what you don’t know

I don’t get it

Why write:

EqPoint.eql(a, c)

When you can write:

Point.eql(a, c)

I believe EqPoint allows you to pass around a bag of functions (aka an interface, which Zig does not have as a concept) to functions which can be written in terms of "I need these functions" rather than in terms of a concrete type.

For the same reason things like "a, c as equal points" or even "some and other as equal points". That could just as easily be automatically parsed. Just a matter of sticking conventions, as if scriptural terseness was of any utility in the kind of case, apart maybe for esoteric representation that will filter non initiated people.