Short answer: Ryan Aytay cites the CrowdStrike incident, one line of code that took down air traffic control and many flights. He says AI-generated code from tools like Claude Code and Codex isn't safe enough for mission-critical systems at the edge.
From Episode 48: The Code Running Your Plane Was Written Decades Ago. This Startup Proves It Still Works., starting at 5:49.
Ryan Aytay [5:49]: We like to say we're doing the work of consequence, and of course, the work the consequence of failure, of course, in this world is pretty significant. Like, you can't have your car fail or your plane you know, like, are just catastrophic scenarios. And an example I like to talk about, even if you go back to something as simple as the CrowdStrike thing that, you may remember took down a lot of the air traffic control and many different flights, that was just like one line of code that ultimately kinda broke. And that wasn't even like a very hard thing, it just was an issue. It was a mistake. And so when we think about like, hey, well, but we're in this new world now and like AI solves everything. Right? I can just go out and start like hammering away and doing some code gen, pick your code gen platform, Claude Code, Codex, but on the list of, folks that are out there. And they're all great and we love them all. But the reality is, like, in a production world, AI generated code actually isn't quite safe enough and really never will be for what we'll call a mission critical system at the edge.
Ryan Aytay [6:48]: Right? So what do I mean by at the edge? Well, it's it's basically the hardware side of things. Right? So it's great if I can vibe code an application, a time and expense app or something like that. That's awesome. All of this happens very quickly and that's why we actually really like those environments. But to make sure that it runs safely, accurately, and just like it used to on the with the old code, but in the new world, in this system sort of mission critical system environment, that's really what we do. And so if you think about like, well, why, tell me more. Right?