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Alexander Embiricos: evaluation

14 Dec 2025 Lenny's Podcast Why humans are AI’s biggest bottleneck (and what’s coming in 2026) | Alexander Embiricos (OpenAI Codex Product Lead)

“We recently shipped the Sora Android app, and that was one of the most mind-blowing examples of acceleration, actually, because usage of Codex internally at OpenAI is obviously really, really high, but it's been growing over the course of the year, both in terms of now it's basically all technical staff use it, but even the intensity and know how of how to make the most of coding agents has gone up by a ton.”

— Alexander Embiricos

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Speaker
Alexander Embiricos
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Claim type
evaluation
Recorded
14 Dec 2025
Publisher
Lenny's Podcast

Transcript context

…Yeah, I mean, I think mostly I just feel much more empowered. I've always been sort of more technical leaning PM, and especially when I'm working on products for engineers, I feel like it's necessary to dogfood the product. But even beyond that, I just feel like I can do much, much more as a PM. And Scott Belsky talks about this idea of compressing the talent stack. I'm not sure if I've phrased that right. But it's basically this idea that maybe the boundaries between these roles are a little bit less needed than before because people can just do much more. And every time someone can do more, you can skip one communication boundary and make the team that much more efficient. So I think we see it in a bunch of functions now, but I guess since you asked about products specifically, now answering questions much, much easier. You can just ask Codex for thoughts on that. A lot of PM type work, understanding what's changing. Again, just ask Codex for help with that. Prototyping is often faster than writing specs. This is something that a lot of people have talked about. I think something that, I don't think it's super surprising, but something that's slightly surprising is we see... We're mostly building Codex to write code that's going to be deployed to production, but actually we see a lot of throwaway code written with Codex now. It's kind of going back to this idea of ubiquitous code. So you'll see someone wants to do an analysis. If I want to understand something, it's like, okay, just give Codex a bunch of data, but then ask it to build an interactive data viewer for this data. That's just too annoying to do in the past, but now it's just totally worth the time of just getting an agent to go do something. Similarly, I've seen some pretty cool prototypes on our design team about if you want to... Well, a designer basically wanted to build an animation, and this is the Coin Animation Codex, and it was like normally it'd be too annoying to program this animation. So they just vibe coded a animation editor and then they use the animation editor to build the animation, which they then check into their repo. Actually, our designers, there's a ton of acceleration there. And speaking of compressing the talent stack, I think our designers are very PME. So they do a ton of product work and they actually have an entire vibe coded side prototype of the Codex app. And so a lot of how we talk about things is we'll have a really quick jam because there's 10,000 things going on, and then the designer will go think about how this should work. But instead of talking about it again, they'll just vibe code a prototype of that in their standalone prototype. We'll play with it. If we like it, they'll vibe engineer that prototype into an actual PR to land. And then depending on their comfort with the code base, like Codex utilizing Rust is a little harder, maybe they'll land it themselves or they'll get close and then an engineer can help them land the PR. then depending on their comfort with the code base, like Codex utilizing Rust is a little harder, maybe they'll land it themselves or they'll get close and then an engineer can help them land the PR. We recently shipped the Sora Android app, and that was one of the most mind-blowing examples of acceleration, actually, because usage of Codex internally at OpenAI is obviously really, really high, but it's been growing over the course of the year, both in terms of now it's basically all technical staff use it, but even the intensity and know how of how to make the most of coding agents has gone up by a ton. And so the Sora Android app, a fully new app, we built it in 18 days. It went from zero to launch to employees, and then 10 days later, so 28 days total, we went to just GA, to the public, and that was done just with the help of Codex. So pretty insane velocity. I would say it was a little bit... I don't want to say easy mode, but there is one thing that Codex is really good at if you're a company that's building software on multiple platforms, so you've already figured out some of the underlying APIs or systems, asking Codex to port things over is really effective because it has something you can go look at. And so the engineers on that team were basically having Codex go look at the iOS app, produce plans of work that needed to be done, and then go implement those. And it was looking at iOS and Android at the same time. And so basically it was two weeks to launch to employees, four weeks total. Insanely fast. What makes that even more insane is it became the number one app in the app store. This just boggles the mind. Okay, so 28 days?…

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