Adam Leventhal

Yeah.

Yeah.

No, that's fair.

Rain, do you want to talk about some of your more recent experiments with LLMs?

Cause you've really kind of gone nonlinear with some of the things that you've been in.

And I think in particular,

in particular well because like i mean getting past the like okay these things are kind of experimental and getting into the like no no like actually we're gonna at some level we're going to i mean i i i don't want to say assume them because we're not really assuming them but we're um but we we kind of acknowledge that like these things can actually um it can be used as part of software engineering what do you want to describe some of the things that you've done recently

This is like...

And, I mean, this is kind of just a much more elaborate example of really the IDDQD example that you had where, like, look, I've done this once.

I need you to kind of do it in these subtly different but important ways that are kind of tedious.

Right.

I mean, this is just a, in many ways, a much more elaborate version of that where it's like, okay, this is the, we designed this RFD very deliberately.

A lot of engineering has gone into WIC the way we think about doing this.

And we have, that has come out from actually like doing it by hand and so on.

And now we actually need to seem to like kind of knock this out for a bunch of these different services.

I mean, like, I mean, just to your point, it's like the work that is like, it's just the work is just like not done.

And you have been like, someone's like, Hey, I was in this service and it has a different, like what's going on over here.

It's like, Oh, we just haven't gotten to that one yet.

And go into our, this dashboard from two years ago.

And we're waiting for the next, you know, tech you, I mean, tech debt week.