Meta's Young Billionaire, Alexandr Wang, Urges Kids to Focus on "Vibe Coding" for Future in AI
PorAinvest
sábado, 20 de septiembre de 2025, 10:43 am ET2 min de lectura
META--
Vibe coding, as described by Daniel Koren, CEO and founder at StartWise, is a new approach to software development that emphasizes the use of AI to generate code from plain language descriptions. This method flips the traditional development process on its head, allowing teams to focus on speed, alignment, and momentum rather than meticulously writing boilerplate code. The shift is driven by three converging forces: AI models have matured enough to generate usable, production-grade code, market competition punishes slow movers, and a new wave of founders without engineering backgrounds can now build [1].
The benefits of vibe coding are evident in various industries. For instance, during his time with a gaming startup, Koren was able to develop a playable prototype of a new concept in just two days, a task that previously would have taken weeks. Marketing teams are also leveraging vibe coding to develop their own tools, creating thousands of minimum viable products in weeks instead of quarters [1].
However, vibe coding is not without its risks. Security flaws, maintenance needs, skill atrophy, and ethical risks are among the major concerns. AI-generated code can introduce security vulnerabilities, create technical debt, and potentially replicate biases embedded in the training data. To mitigate these risks, experts advocate for a hybrid approach that integrates human-driven architecture, AI-facilitated implementation, and strict code reviews [1].
Wang's lab is a prime example of the potential of vibe coding. By focusing on velocity and governance, and elevating engineers into system architects, teams can guide AI-driven development effectively. Investors should bet on teams that prioritize these factors. Companies that marry the creative speed of AI with best practices will deliver both faster and higher-quality products [1].
Meta's young billionaire, Alexandr Wang, is running one of the most ambitious AI projects in Silicon Valley. His goal is to create superintelligent AI and advises kids, especially 13-year-olds, to focus on "vibe coding" instead of traditional hobbies. Wang believes almost all code written today will be replaced by AI in five years and that experimenting with AI tools is more important than learning a specific programming language. His lab, though smaller, is more skilled and works on research, product, and infrastructure. Wang is excited about hardware like Meta's smart glasses, which he sees as a natural delivery mechanism for superintelligence.
Meta's young billionaire, Alexandr Wang, is spearheading one of Silicon Valley's most ambitious AI projects, aiming to create superintelligent AI. He advises young individuals, particularly 13-year-olds, to focus on "vibe coding" rather than traditional hobbies. Wang believes that almost all code written today will be replaced by AI within the next five years and advocates for experimenting with AI tools over learning specific programming languages. His lab, though smaller, is highly skilled and works on research, product, and infrastructure. Wang is excited about hardware like Meta's smart glasses, which he sees as a natural delivery mechanism for superintelligence.Vibe coding, as described by Daniel Koren, CEO and founder at StartWise, is a new approach to software development that emphasizes the use of AI to generate code from plain language descriptions. This method flips the traditional development process on its head, allowing teams to focus on speed, alignment, and momentum rather than meticulously writing boilerplate code. The shift is driven by three converging forces: AI models have matured enough to generate usable, production-grade code, market competition punishes slow movers, and a new wave of founders without engineering backgrounds can now build [1].
The benefits of vibe coding are evident in various industries. For instance, during his time with a gaming startup, Koren was able to develop a playable prototype of a new concept in just two days, a task that previously would have taken weeks. Marketing teams are also leveraging vibe coding to develop their own tools, creating thousands of minimum viable products in weeks instead of quarters [1].
However, vibe coding is not without its risks. Security flaws, maintenance needs, skill atrophy, and ethical risks are among the major concerns. AI-generated code can introduce security vulnerabilities, create technical debt, and potentially replicate biases embedded in the training data. To mitigate these risks, experts advocate for a hybrid approach that integrates human-driven architecture, AI-facilitated implementation, and strict code reviews [1].
Wang's lab is a prime example of the potential of vibe coding. By focusing on velocity and governance, and elevating engineers into system architects, teams can guide AI-driven development effectively. Investors should bet on teams that prioritize these factors. Companies that marry the creative speed of AI with best practices will deliver both faster and higher-quality products [1].

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