Your SDLC needs a productivity context engine

**Andrew** (0:04)
Welcome to Dev Interrupted by LinearB. Today, we're doing something really awesome. We've got both LinearB founders in the room with us. We have Ori Keren, CEO and co-founder, and Dan Lines, COO and co-founder.
Yeah, Ori, Dan, welcome to the show.

**Ori Keren** (0:22)
Hey, great to be here. Thanks for having us.

**Dan Lines** (0:25)
Thanks, BLP.

**Ben** (0:27)
Now, the reason that the four of us are all in one discussion is because LinearB has been moving really fast all year. And all four of us, we have a lot to say about it, especially you two, and about where the industry is going and what our company has been working on, but also the opportunities that you see for everybody right now in the industry. Because something that we all talk about a lot on the show is making like predictions and understandings about where the industry is going, because that's the insights that we get to work with here at LinearB. So I'm really excited to dig in to some of the stuff that y'all have been learning. I actually just want to kick it off Ori by giving the first question to you, because when we talked with you at the top of the year, you predicted that organizations, they would struggle to digest all of this AI-generated code. We'd be under a delusion, a flood of all of this new AI-generated content that teams are going to struggle with.
I want to check in with you now that we're about midway through the year. How do you feel about that prediction? Do you think it's coming true? What do you see?

**Ori Keren** (1:27)
Yeah, I think, by the way, like even a year ago, I said something like a productivity would actually dip and then it will start rising.

**Ben** (1:36)
Yeah.

**Ori Keren** (1:37)
I think this time, yeah, like people struck, yeah, we're definitely seeing it. I think data-wise, our data is showing, and it's also backed by, you can read a lot of other research and other papers that there's like around 2x more pull-equipped throughput, and more like, so more code is like actually like hitting like the pipes.
But yeah, definitely teams are swamped because like, there's not enough people to review the code, there's not enough people to test the code, there's not enough people to handle the leases. Organizations are actually saying, yeah, like we're generating 2x more code, but the gains that we're getting are actually somewhere between 10% to 15% of productivity, even if you ask them qualitative or even if you measure something. And I'm not even talking about the fact that quality is degraded a little bit, people are reporting like more failures. So yeah, I think it's definitely what's happening. Yeah, code generation is faster, but the rest of like the pipes and the rest of the operations we need to support like shipping software faster are still not there.

**Ben** (2:49)
Yeah, most companies are still in this productivity pain point that you called out last year, you called out again this year. We're still suffering through understanding how to actually make sense and gain all of the productivity you can from these tools.

**Ori Keren** (3:02)
Exactly.

**Andrew** (3:03)
Yeah, and we've been covering here on Dev Interrupted a lot, how we're in this messy middle of AI and adoption and success with it. It's been very lumpy.
Some teams, some organizations see really great successes with it, and they learn how to replicate that across their organization, whereas others maybe only see tiny pockets of these improvements. Meanwhile, the rest of the company maybe is actually starting to look worse over time because of AI. Dan, I'm curious to hear from you on this. What are you hearing from our customers and the engineering leaders that we talk to every day about how AI is reshaping their challenges and what they're coming to LinearB to solve? Has the concerns changed or have they just gotten bigger as AI has ramped up?

**Dan Lines** (3:49)
Yeah, man. Great question. I mean, first, we got to start with what kind of customers are we talking to? So when I'm talking to customers, when LinearB is talking to customers, these are the best companies in the world. These are like Fortune 500, Fortune 1000 companies. These companies are dominating markets right now. And so what they're going through is more so this transformation from their SDLC to their ADLC.
And I think the difference, at least from what I see from the beginning of the year, beginning of the year was like still a lot of hype, still a lot of experimentation, things like that. Okay, we're trying it in some pockets. Okay, all of our developers are using something, Copilot Claw. This is fun. It's transformed now. What I'm hearing is let's get back to business. Let's get back to results. I need ROI for the business. So there's three things that they're saying to me.