AI can build it, but can AI ship it?

Deap Ubhi, who runs startup tech strategy at AWS, sat down with Grant and Corey to talk about the gap nobody wants to admit exists: the space between a demo that wows a room and a product that survives paying customers. His point is blunt. AI tools can spit out a working prototype almost instantly now — a slick UI, a working feature, something that looks finished. That part has gotten absurdly fast.

But a prototype isn't a product. Ubhi's argument centers on everything that happens after the first demo: authentication that doesn't leak user data, infrastructure that doesn't fall over when three hundred people show up instead of three, security hardening that assumes someone will try to break your app on purpose. None of that shows up in a slick two-minute Loom video. It shows up six weeks later when your app gets featured somewhere and traffic spikes 40x overnight.

His framing is essentially a warning to founders riding the current wave of AI-assisted coding. The tools have collapsed the cost of building something. They have not collapsed the cost of running something reliably. AWS, unsurprisingly, positions itself as the answer to that second problem — the boring, unglamorous plumbing work that keeps an app alive once it's out of the sandbox.

There's a generational split baked into this. Earlier waves of startups spent months just getting to a working prototype, so by the time they hit real users, a lot of infrastructure lessons had already been learned the hard way. Now teams can go from idea to live app in days, which means they hit production-grade problems — real users, real load, real attackers — before they've built any of the muscle for handling them. Ubhi's basically saying: the AI made the wrong part of the process fast.