Block

“Today some of the top growth companies, like, Block, Vercel, Ramp, Retool, Mercury, and Substack are building with Linear. We also additionally have lots of other companies, like thousands of other companies using, using Linear.”

“So we have this really cool tool that analyzes our test suites and selects the right tests to run for changes that were made. So we cut down basically 50% of test runs this way, which is pretty great, and like we're not warming the planet as much with all thes…”

“And Goose can write its own MCPs, so it's pretty, ah, bootstrappable as well.”

“And so he built this system where it's essentially just watching everything he does all the time. And he'll be talking to a colleague on Slack or an email, and they'll be discussing some feature that they think is useful to implement. And then a few hours late…”

“In cash card, for example, we built the entire functionality of cash card. I would say pretty much in a weekend or maybe a week of sort of integration and work. And then it took a really long time to iron out all these edge cases”

“You know, I remember even in the early days, people used it to pay each other as a peer to peer money transfer system. And that's why we built Cash App and that was really successful on the back of that.”

“I think what's changed for us is much different and it has nothing to do with AI. It's that what we talked about earlier is moving from our GM structure to a functional structure.”

“So we have these tools that run 24 seven or run in the CI pipeline, and they're analyzing vulnerabilities. They're looking at even bugs filed on tickets and trying to build patches While engineers are asleep. So they come in and the next day and look at it.”

“But even now we find engineering teams that are very, very AI forward that you're using goose every day are reporting about eight to 10 hours saved per week.”

“Although I think that it's a little bit like the analogy of if you build a bigger highway, you'll just get more cars on the road. So I think the fact that everyone's building software means that there's more software to be built, more coordination to happen, a…”

“Jack uses goose. I use goose, our executive team all have used goose and use it regularly and use other other AI programming tools and assistance as well. And we do it every single day.”

“We S we changed the organization. So all engineers report into one single team. Now all designers report in one single team and their single head of engineering, single head of design, et cetera.”

“If you're building a totally new green fields code base, or you're building an app for a new platform, then we we're seeing those pretty aggressive gains, but in, you know, very complex code bases that already exist, those gains are not quite there yet.”

“We had a lot of momentum in each of these silos, be it cash app, be it after pay. Be it square or even title or music streaming service. And no one was really talking to each other. No one was really aligned on technical strategy on what we even wanted to be f…”

“And it's successful, I would say, on, like, 60% of those things if the features are sort of well enough described, and it struggles on the remaining 40 where you have to kind of intervene and massage it, yeah.”

“The savings and costs that there might be in replacing a vendor tool by something you build in-house is probably not worth it in the mental bandwidth that you've lost and the amount of the team's sort of technical focus that's being taken away.”

“Our average, our median session length is five minutes and on average seven.”

“And I think that speaks to how these roles are going to evolve in the future. The lines are going to be blurred between whether you're in legal or in risk or in engineering and design even.”

“And we have a lot of companies using Goose pretty actively. I don't want to name too many names, but from our competitors to our sort of close partners, a lot of them are using Goose pretty regularly on their teams. I know Databricks talks about it a lot, but …”

“We at least speak the same language. We're all have access to the same tools. We share the same policies. So like a certain level of senior engineer means the same thing across the whole company. People can move from one team to another into an area of need.”

“I don't think that things have Progress far enough that it's really impacted in a fundamental way how you would, how many people you would need to sort of build an app of the scale of cash app, for example.”

“And we feel across the whole company, we're probably trending towards 20 to 25% of manual hours saved.”