Transcript
A (0:00)
So you have actually named your clauds and then you give them instructions to listen to each other.
B (0:06)
Yes, they have to talk to each other. One is called the Builder. App is called Bob, Bob the builder. And he's got instructions to stop constantly. And you have to run everything by Ray, who's the review agent. Ray's job is senior software engineer who is obsessed with security. He reviews code milestones, guard security architecture, and then the third agent is me. I am the person who breaks the tie that often happens between Bob wanting to do something and Ray saying, you can't do it.
A (0:31)
And you are doing all of this as someone who has not spent their career as a software engineer.
B (0:36)
For a while I thought, I'm like a mediocre pm. And then I was like, no, maybe I'm more like an architect. And now I realize like an architect actually knows real details. A PM is like super rigid and keeps the entire app in their head and they're able to really prioritize. Well, I'm a bad prioritizer. All I am is a really picky customer. So I think that is like the role of the Vibe coder is what do I care about deeply? I'm like walking through this house and I'm telling the architect what? No, I want this room blue. I know you don't think it's a good idea. I'm telling you, this is what I want.
A (1:07)
Welcome back to How I AI I'm Claire Voe, product leader and AI Obsessive, here on a mission to help you build better with these new tools. Today I have Dan Roth, who's the editor of LinkedIn and started his career as a business writer and editor, but has somehow become a software Engineer. Vibe coding iOS apps all, all the way to the App Store. He's going to show us his dueling cloud code setup that lets Bob and Ray build high quality production grade software. Let's get to it. This episode is brought to you by Work os. AI has already changed how we work. Tools are helping teams write better code, analyze customer data, and even handle support tickets automatically. But there's a catch. These tools only work well when they have deep access to company systems. Your copilot needs to see your entire code base. Your chatbot needs to search across internal docs. And for enterprise buyers, that raises serious security concerns. That's why these apps face intense IT scrutiny from day one to pass. They need secure authentication, access controls, audit logs, the whole suite of enterprise features. Building all that from scratch, it's a massive lift. That's where work OS comes in. WorkOS gives you drop in APIs for enterprise features so your app can become enterprise ready and scale upmarket faster. Think of it like Stripe for enterprise features. OpenAI, perplexity and cursor are already using work OS to move faster and meet enterprise demands. Join them and hundreds of other industry leaders@workos.com start building today. Dan welcome to How I AI what I Like about having people like me, maybe that have a couple years of experience under their belt is we've seen technology shift over time and we've seen markets shift over time and we've seen our own career shift over time. And what I love about your story is you've seen a shift like this in an industry that you've been in and you've seen how disruptive and scary it can feel and, and now you're seeing this again and you're really leaning into it. So tell us how you came from your background, which is non technical, into now. We're going to see some power. Claude code tips and iOS apps kind of vive coded all the way to the App Store.
