“Vibe Coding” is a term that has entered our lives alongside the evolution of artificial intelligence in the software world. These days, it’s common to run into plenty of “vibe coders,” and to be honest, I’d count myself among them. But is that a bad thing? In my view, the answer is both yes and no.

I want to start with why it might be a “yes,” because there is really one single, yet massive, reason for it.

Writing code and building a product isn’t just a one-step process. If we are developing a Proof of Concept (PoC), sure, you might not care too much about what’s going on under the hood as long as the application runs. You wouldn’t be wrong to think that. However, the colors start to change when the goal is a production-level product. It’s not just about the code working; you have to consider a multitude of factors: how optimized it is, how secure it is, how adaptable it is to updates, and how easy it is to maintain.

If you are a vibe coder and you don’t understand the fundamentals of the language you are using—if you have no idea what writing an algorithm actually entails—producing a product at the production level can turn into a total nightmare.

When Vibe Coding Becomes a Superpower

By now, you’ve probably guessed the answer to the “no” side of the equation.

If you have a solid grasp of the programming language, can read the code the LLM generates, and are capable of intervening single-handedly when necessary, vibe coding creates incredible opportunities. From PoCs to production-grade software, you can build all kinds of products with the speed of a full team. You’ll have a clearer idea of how to guide the LLMs, managing your development process in a way that is professional and, frankly, “the way it’s supposed to be done.”

A Pace We Couldn’t Have Predicted

Since it first emerged three years ago, Vibe Coding has grown incredibly every single month to reach a very different position today. You probably remember the mediocre results we got when we first asked AI to generate code. So, where are we now?

Three years ago, could we have guessed that AI would be producing work of this quality today? To be honest, my comment back then was, “We need another 5-10 years for anything tangible.” But looking back now, it has reached a level beyond my expectations in a much shorter time than I predicted. I can’t even foresee what level we will be at a year from now.

My Current Stack: The Gemini Experience

I’ve been using the Gemini 3 Pro model developed by Google for all my work for a while now, and the results are truly tremendous.

Previously, I would plan with Gemini 2.5 Pro and have Claude 4.5 write the code, often having to intervene heavily in the results. However, for some time now, I’ve been using Gemini 3 Pro exclusively in agent mode, and it handles the planning process entirely on its own. The results regarding debugging and code structure improvements are also top-tier. Because of this, I can safely say that Gemini is now my absolute favorite for everything.

If you haven’t tried it yet, I highly recommend you give it a look.