Empathetic leadership for tech overlords, a good backlog completes itself, and who’s agent is this, anyways?

So Kelly, have you heard the news? I'm sure it's impossible to avoid it that Fable has come back into our world. Fable is back in our lives again. Yes.

It was a bit of a, I say it was a bit of whiplash, but like I didn't actually get a chance to use it that much before. And I haven't really gotten a lot of time to actually use it this time around, but I can confirm that Fable does recognize that there are three Rs in Strawberry.

Wow. Incredible. So you were able to get to the bottom of it with the latest model. Yes. I cannot wait for like my analysis of like how I've used the different models.

And it's like, you spend how much on this query? It's like the Strawberry benchmark is really where you go to first. It's incredible. And, and, and, you know, I think it's, it's funny that you comment on,

like having a chance to try to get, I remember when it came out and then it got taken away. Remember, I was in your DMs on LinkedIn and I said, I was a Kelly. Did you try fable?

And then you said, no, with a little sad emoji. I think so sad. Yeah. Yeah. It was sad.

You're not alone. There are a lot of folks who who I DMed on LinkedIn. I was like, did you try it? And I was like, no, like I didn't.

It was actually staggering to see the number of folks who had like they didn't get a chance to. So I have it come back and then they get to try it is really great. We do only get this one limited week of it being on our subscription

to your pricing. So what actually I think this talks about more than ever and we'll dive into in a moment is the importance of choosing the right model for the task. Cause I think Fable is going to be one of the first of many of these flagship

models, getting it really, really expensive for highly specialized stuff. So what do we need to be learning from it? And that's what we're going to be talking about today. And to those listening, welcome to the Friday deploy.

Well brought to you by linear B. I'm your host, Andrew Ziegler and Ben is out this week enjoying the great outdoors, whatever that is. But don't worry because it does feel nice to go and touch grass.

But, you know, here on Dev Interrupted, we touch keyboards and we chat with friends. And so don't worry, we have a past guest and in fact, your favorite engineering managers, favorite engineering manager returning to the show. Kelly Vaughn, Kelly, it's amazing as always to have you here.

I'm so excited to run through this week's news with you. I am so excited to be back again. You know, I love doing this. I love hanging out with you and I love talking to whatever tech news is on

the flight for the week. Exactly. And it's good, the gossip about it out here in the open instead of in our DNS on LinkedIn. So let's get to the bottom of it because this week there's been a lot of interesting stuff

going on, obviously, Anthropics control over a fable and releasing it to the market has changed. And we're going to talk about what that means. We're also going to talk about things around agent identity and how you should be thinking

about that in combinations with your workflows. We're going to be diving into a data science benchmark from past guest, Brian Bischoff. You might remember the Data Science America's Next Top Modeler that I participated in back in October.

We got a post-retro on that that's really fascinating. We're gonna learn some stuff. And we're gonna talk a little more on the interpersonal side,

because as we all know, creating software is a deeply communicative sport, right? It requires a lot of communication, team building, collaboration,

and understanding the perspectives of others and how you're working together. So we're gonna be talking about why arguing isn't necessarily the best way

to get about proving your point and avoiding some villain bond leadership based on some advice from our favorite charity majors as well. So Kelly, I'm really excited to dive into some of the things

today. But I just wanted to start by revisiting just for a moment that the fable getting brought back out into the world. Because what I think this represents

a really interesting change in how models are going to be released moving forward. I think you're going to see more interference from organizations and entities in the models

coming to market, at least in the West, which is starting to have more restrictions around the capabilities and concerns around things like internal cybersecurity and stuff,

but also to on a practitioner side, having the model come out and then I tried it. We talked about this extensively in our new segment. I used like all of my tokens,

riding the dragon and the fable basically. And I couldn't stop talking about how helpful it was, but the fable has come back. it actually has a lot of model routing capabilities underneath.

It'll actually send things like coding requests in many cases off to an opus model underneath. It'll use things like Sonnet, the new Sonnet 5 that came out along with

Fable 5 to do a lot of things like writing. So it begs the question of what is Fable, and what is Fable doing? I think it has to do with this organizational intelligence of how work gets

done and it represents the new kinds of models that we might have moving forward, and that these models might get really expensive. But, you know, Kelly, what were your thoughts on this thing coming back to market?

Yeah, I think, I think we're going to be seeing a lot more of this. I think the big splash of this model is not going to be something we continue to see in the future. I think we're going to see even more interference. And it's a weird, it's a weird time to be in this phase.

It is, I would say it is probably predictable that we would have ended up here to begin with because we fear things that we don't understand. as humans. And we understand that we don't really understand what we're doing here yet. This is a very fun exploratory period, but as these models get smarter, we don't know what we don't know yet. So I do understand that I don't love the national security piece, so only really release it to