A few months ago, I stumbled into what felt like a superpower: building fully functional enterprise prototypes using nothing but vibe coding and AI agent tools like Cursor and Claude. The pace was intoxicating—I could spin up a PoC in days instead of weeks, crank out documentation and test suites, and automate all the boring stuff I used to dread.
But here’s the secret I discovered: working with these AI agents isn’t like managing a team of brilliant, reliable developers. It’s more like leading a software team with a sky-high attrition rate and non-existent knowledge transfer practices. Imagine onboarding a fresh dev every couple of hours, only to have them forget what happened yesterday and misinterpret your requirements—over and over again. That’s vibe coding with agents.
The Early Magic
When it works, it really works. I’ve built multiple PoCs this way—each one a small experiment, delivered at a speed I never thought possible. The agents are fantastic for “greenfield” tasks: setting up skeleton apps, generating sample datasets, and creating exhaustive test suites with a few prompts. They can even whip up pages of API docs and help document internal workflows with impressive speed.
It’s not just me. Thomas Ptacek’s piece “My AI Skeptic Friends Are All Nuts” hits the nail on the head: AI is raising the floor for software development. The boring, repetitive coding work—the scaffolding, the CRUD operations, the endless boilerplate—gets handled in minutes, letting me focus on the interesting edge cases or higher-level product thinking. As they put it, “AI is a game-changer for the drudge work,” and I’ve found this to be 100% true.
The Fragility Behind the Hype
But here’s where the illusion comes in. Even with this boost, the experience is a long way from plug-and-play engineering. These AI coding agents don’t retain context well; they can hallucinate requirements, generate code that fails silently, or simply ignore crucial business logic because the conversation moved too fast. The “high-attrition, low-knowledge-transfer team” analogy isn’t just a joke—it’s my daily reality. I’m often forced to stop and rebuild context from scratch, re-explain core concepts, and review every change with a skeptical eye.
Version control quickly became my lifeline. Frequent commits, detailed commit messages, and an obsessive approach to saving state are my insurance policy against the chaos that sometimes erupts. The magic is real, but it’s brittle: a PoC can go from “looks good” to “completely broken” in a couple of prompts if you’re not careful.
Superpowers—With Limits
If you’re a founder, product manager, or even an experienced developer, these tools can absolutely supercharge your output. But don’t believe the hype about “no-code” or “auto-code” replacing foundational knowledge. If you don’t understand software basics—version control, debugging, the structure of a modern web app—you’ll quickly hit walls that feel like magic turning to madness.
Still, I’m optimistic. The productivity gains are real, and the thrill of seeing a new prototype come to life in a weekend is hard to beat. But the more I use these tools, the more I appreciate the fundamentals that have always mattered in software—and why, in the next post, I’ll talk about the unavoidable reality check that comes when abstractions leak and AI doesn’t quite deliver on its promise.








