What Is ‘Vibe Coding’ and Why Does Meta’s Wang Recommend It?

At just 28, Alexandr Wang is already one of the world’s youngest self-made billionaires and leads Meta’s drive toward superintelligence. In a recent interview, Wang advocated for a radical new approach to learning code he calls ‘vibe coding’ and believes this shift is so seismic that today’s 13-year-olds could be tomorrow’s Gates or Zuckerbergs by mastering it.

Wang’s advice, aimed squarely at Gen Alpha, is clear: Stop spending after-school hours on gaming or sports, and start experimenting with AI coding tools. In a rapidly changing tech world, intuition, not rote syntax, will define the winners.

What exactly is ‘vibe coding’?

‘Vibe coding’ is an emerging practice where coders trade traditional syntax for natural language prompts, letting advanced AI models generate, refine, and execute code ideas.

Instead of plodding through lines of Python or Java, a coder, increasingly a teen, writes out what they want a program to do, then refines and tests the AI’s output in real time, learning by experimentation rather than careful construction.

This approach matches how leading tech teams, including Meta, Google, and Klarna, are quickly reimagining engineer workflows.

Wang calls it “intuition-building,” where success stems from hands-on iteration and steering the AI, not memorizing language specifics. In his view, those who master this will direct the future of software innovation.

Did you know?
Google now generates over 30% of its new production code using AI models, a figure confirmed by CEO Sundar Pichai.

Why does Alexandr Wang believe AI will replace conventional coding?

Wang describes a future in which all of his code will be obsolete, replaced by what AI models produce. He’s “radicalized by AI coding,” convinced that within five years, the way humans approach engineering will change dramatically.

Not just a productivity hack, Wang sees this as a generational reset where code’s value shifts from mechanics to creativity and problem framing.

Tech industry leaders echo his belief: CEO Sundar Pichai recently revealed that AI now generates 30% of Google's code, and the head of Klarna claims that prototyping, which previously took weeks, now only takes minutes.

AI-driven coding offers unprecedented speed, but Wang believes the true edge lies in developing ‘instincts’ through constant use of AI.

How is Meta’s new AI lab structured for innovation?

Upon joining Meta, Wang quickly established a compact yet potent AI lab, smaller and more talent-dense than anyone in Silicon Valley. He split the group into three core pillars: research, to create models with superintelligence potential; product, to ensure breakthroughs reach billions of users; and infrastructure, to operate some of the world’s largest data centers.

Wang's team is concentrating on wearable hardware as the entry point to "cognitive enhancement" in addition to cloud-based AI. Meta’s new smart glasses, despite some awkward demos, embody his vision for ambient superintelligence technology that augments perception and decision-making so naturally that users “gain 100 IQ points” with every glance.

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Why should teens start experimenting with AI tools now?

Wang urges teenagers to take advantage of their time. In past generations, this meant tinkering with PCs or Minecraft servers, but today it means running countless experiments with AI coding platforms like ChatGPT, Gemini, or Llama.

The edge, Wang argues, comes from clocking thousands of hours learning how to steer AI models and spot their quirks.

“In ten years, those with the deepest, earliest instinct for using AI coding tools will rise fastest,” he said.

Schools and parents may be slow to recognize this, but teenagers who ‘vibe code’ daily will command the next wave of software, product, and platform breakthroughs.

What does this shift mean for the future of work and technology?

If Wang is right, employers and investors will soon prize creativity, intent, and tool mastery over classical coding ability. ‘Vibe coders,’ those who can guide and debug AI, will shape products and even industries.

The next Bill Gates or Mark Zuckerberg, Wang forecasts, might not write flawless C++ but will excel at conceptualizing and orchestrating rapid-fire AI-powered experiments.

The broader implication is that technology democratizes. As AI models close the gap between idea and implementation, anyone, especially young people, can launch startups, apps, or entirely new fields from their bedrooms.

The frontier is open to those who adapt first, and Wang’s message to Gen Alpha is to start now: “Immerse yourself in the tools, and let your intuition lead the way.”

Looking forward, Wang’s ‘vibe coding’ vision is already reshaping how companies build technology, hire talent, and imagine superintelligent futures. Those willing to invest early in this hands-on intuition will be the ones to define the next era of software and AI.