AI can build an app in minutes. That does not make fundamentals obsolete. Understanding architecture, security, and scale is more valuable than ever.
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A few years ago, if someone told me they built an entire application in a single weekend without writing much code themselves, I probably would have been surprised.
Over the last year, one phrase has quietly become part of almost every developer's vocabulary: Vibe Coding.
Some people think it is just another Gen Z internet term. I think it is a glimpse into the next phase of software development.
For the first time, we are moving from writing every line of code ourselves to describing what we want and letting AI build the first version. Today, you can describe an idea in plain English and watch AI generate a landing page, a mobile app, a backend API, or even an AI agent within minutes. Something that once took days can now happen during a coffee break.
Somewhere in the excitement, I keep hearing one question again and again. "If AI can build everything, why should I even learn programming anymore?"
The question sounds reasonable on the surface. I think it is based on the wrong assumption.
Whenever someone asks me this, I think about architecture students. During college, they spend hours designing tiny bridge models from ice cream sticks, cardboard, or lightweight materials. The goal was understanding why a bridge stands. Why weight gets distributed the way it does. Why one design survives while another collapses.
Only after understanding those fundamentals can someone design a bridge that safely carries thousands of vehicles every day.
Software engineering is not very different.
When you are learning Data Structures, Algorithms, Operating Systems, Networking, Databases, or System Design, you are not just memorizing concepts to pass an exam. You are learning the invisible foundations behind every application you use. AI can now write the code that sits on top of those foundations. Someone still needs to understand the foundation.
This is where I think many people misunderstand Vibe Coding. They assume AI has replaced programming. In reality, AI has changed how we program.
Instead of spending hours writing boilerplate code, developers can now spend more time thinking about architecture, user experience, scalability, and solving real business problems. Progress does not eliminate the need for understanding. It actually makes understanding more valuable.
Because AI does not know whether your authentication logic introduces a security vulnerability. It does not know whether your database schema will become a bottleneck when a million users arrive. It does not know whether your API design will scale three years from now. It simply predicts the next most likely piece of code. The responsibility still belongs to the engineer.
I have personally started using AI almost every day. Whether it is debugging, brainstorming, writing documentation, exploring unfamiliar frameworks, or building prototypes, AI has genuinely made me faster. Sometimes it even teaches me approaches I had not considered before.
The more fundamentals I know, the better results I get from AI. Because I know which suggestions to accept. And which ones might create problems later.
It is not magic. It is because experience helps you ask better questions. AI gives better answers when humans ask better questions.
The best engineers of the next decade probably will not be the people who refuse to use AI. They also will not be the people who blindly copy everything AI generates. They will be the people who combine both worlds. They will let AI handle the typing. They will use their own knowledge to make important decisions.
In many ways, software engineering is becoming less about typing code and more about making good engineering judgments.
A calculator can instantly solve complex arithmetic. That does not mean schools stopped teaching mathematics. Because mathematics is not only about getting an answer. It is about understanding the logic behind the answer.
Programming is entering a similar phase.
So if you are currently learning a new programming language, a framework, databases, networking, or even computer science fundamentals, do not let anyone convince you that it is becoming useless. Those concepts are becoming more valuable, not less.
AI can write the code. It still needs someone who understands whether that code should exist in the first place. That responsibility will always belong to humans.
Maybe Vibe Coding is not the end of programming after all. Maybe it is simply the beginning of a new kind of engineer.
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