The Vibe Coding Trap: Why Speedy AI Builds Demand Rigorous Proof Before Shipping

The Vibe Coding Trap: Why Speedy AI Builds Demand Rigorous Proof Before Shipping

Developers once spent days writing code line by line. Now they describe a desired outcome in plain language. An AI model generates the implementation in minutes. The app runs. Looks good. Ship it. But does it actually do what was asked? That question sits at the heart of vibe coding. The practice, coined by Andrej Karpathy in early 2025, lets builders focus on intent rather than syntax. (IBM). It accelerates prototyping and lowers barriers for n…

Why enterprises can’t simply vibe-code their way to production

Vibe coding is making software development easier to approach, even for people who are not traditional programmers. By using natural-language prompts, developers can ask artificial intelligence (AI) to generate code, test ideas, and quickly turn concepts into working prototypes. But for enterprises, getting an application from an idea to a production-ready system requires more than […] The post Why enterprises can’t simply vibe-code their way to…

So, I Vibe Coded A Way Out, Again.

A while ago I wrote an article asking When Is 100% Vibe Coding OK?. My conclusion was that it works when the human already owns the invariants. If you know the problem is solvable, understand the constraints, and have a reliable way to verify the output, AI can be a fantastic accelerator. Apparently I decided to test that theory again. This time with my banking app. If you are savvy enough in the Go ecosystem and you just want to produce QR code…