Vibe Coding Cleanup That Holds in Production

Vibe coding" is the practice of building software primarily by prompting an AI tool. Essentially, the user describes what they want in natural language, while the model generates the code, after which the developer reviews and tweaks it rather than writing it from scratch. It's fast and works well for prototypes.

No. AI-assisted coding is here to stay, and used well it makes good engineers significantly faster. The problem is using it without a foundation underneath. That’s why we help fix the architectural, infrastructure, and security layers the AI tool can’t see, so your team keeps using AI to ship code that holds in production.

Because models only see the snippet in front of them. They can write code that looks correct, but they can't see your wider architecture, how your services interact, what your traffic actually looks like, or what your security and compliance requirements are. So the code often works in testing, but fails the first time it meets real production conditions.

Yes, but only when nothing else will work. In most cases, we find that a foundation-level fix is faster, cheaper, and safer than a rewrite. That’s why we diagnose first, then recommend the smallest change that actually solves the problem.

You can. The catch is that AI tools only see the code you point them at, not the architecture, infrastructure, or deployment underneath, which is usually where there are bigger issues that affect the entire codebase. So prompting your way to a fix tends to layer more inconsistent code onto a foundation it can't see, and the failures resurface days later.