• Vibe coding signals a new human-AI modality. We are not just using AI to code, we are collaborating with it. The interface has shifted from commands to intent, from logic to language.
• Code is becoming a creative infrastructure. With AI handling boilerplate and structure, developers now shape software the way designers shape products — by vibe, flow, and function. This shift elevates creativity and speeds up iteration across models and edge devices.
• The end of static software is inevitable. Vibe coding lays the foundation for software to write and rewrite itself. Edge devices will not just run code, they will co-create it by evolving in real time to fit users’ preferences and provide a dynamic personalized experience

‘Vibe coding’ is currently among the latest catchphrases in the AI world. AI pioneer Andrej Karpathy first coined the term ‘vibe coding’ to reflect a radical shift in how software gets built at the moment, where AI is not just lending a hand, but is quietly taking the wheel and rewriting the rules of how code gets made:

In his latest post on X.com, Karpathy once again demonstrated this new coding paradigm by building a fully functional calorie-tracking iOS app from scratch using Swift. Remarkably, Karpathy had no prior experience with Swift and never touched the documentation. Guided entirely by a multi-turn dialogue with ChatGPT, he built and deployed a fully functional app to his phone, in just one hour.

Source: X.com

Additionally, Karpathy shared four key stages of his ChatGPT-driven app build just by ‘talking’ to ChatGPT – kicking off the project, layering in enhancements, adding AppStorage for state persistence, and final deployment to his phone.

Our Take:

Are we rapidly heading toward a world where AI not only writes code, but does it with the complexity and design fluency once reserved for expert developers?

Vibe Coding vs LLM-assisted Programing

A lot of AI-powered programing tools or assistants, such as Copilot, have been on the market. They are primarily for debugging, completing functions, or reviewing code. However, vibe coding is a new phenomenon that emphasizes on coding as a creative flow, not code review.

In a clearer sense, vibe coding is not just getting an LLM to help write code. It is about building software without having to ever review the code the LLM produces.

Andrej Karpathy, a world-class programmer who does not need AI to code, chooses this approach because it is a fun open canvas for wild ideas. And when LLMs generate code orders of magnitude faster than even the best human developers, the real question becomes – why not?

Who are Vibe Coders?

By 2024, GitHub had over 1.3 million Copilot users, and Cursor had 40,000 paying customers. These are the developers closest to the frontier of AI advancement and one of the first crowds to be living the ‘vibe coding’ future, whether building for work or hacking on weekend projects.

But the bigger unlock is for non-coders — the creative class with zero technical background. Since vibe coding skips the code review entirely, it turns software development into rapid-fire experimentation built on pure ideation. Ideas move from thought to prototype at speeds traditional workflows cannot touch. For low-stakes projects, this is a superpower — and it is about to spread fast across industries.

Long-term Implications

• Developers Become AI Orchestrators: The programmer’s job is not about writing code anymore, it is about coordinating AI agents that do. Engineers shift from builders to strategists, managing a stack of intelligent tools that handle development, testing, and optimization end-to-end.
• Software Becomes Personal: Apps and systems will be generated on the fly — tuned to your behavior, mood, context and your language commands. They can become a one-off, shaped by you and for you.
• Devices That Code Themselves: On-device AI will not just run software — it will write and optimize it in real time. Your smartphone becomes a live development environment, evolving without developer touch.
• Goodbye Static Software: The era of manual updates is over. Edge devices will continuously adapt, with AI self-updating features and performance in real time. Software will become fluid, not just iterations of fixed versions.