Discover how Vibe Coding transforms the way we program, not by replacing human expertise, but by redefining the collaboration between creativity and technology.
From code to conversation
For decades, programming meant mastering technical languages and writing lines of code with precision. Today, thanks to artificial intelligence, that dynamic is changing. The language of code is becoming more accessible, and although it will become less and less necessary to write it manually, developers remain essential to guide AI, ensure quality, and turn ideas into real products.
Vibe Coding does not replace traditional programming: it reinterprets it. It is a more human, creative, and collaborative way of working with artificial intelligence, but it is still far from replacing the programmer’s craft.
The birth of a global AI trend
In February 2025, Business Insider described Vibe Coding as the new buzzword in Silicon Valley.
This trend marks a paradigm shift: it is no longer about telling the machine what to do, but what we want it to convey.
The programmer moves from writing instructions to expressing purpose, style, and emotion. AI, for its part, interprets these elements and generates the code that shapes the desired result. This gives rise to a more conversational, intuitive, and artistic collaboration between humans and technology.
What is Vibe Coding or intuitive programming?
Vibe Coding is a development methodology in which the programmer guides artificial intelligence through instructions that include intention, tone, and emotion.
For example:
“Create a minimalist home page that conveys calm and reflects the corporate colors.”
The AI interprets that vibe and generates code that reflects the desired visual and emotional identity.
The term was coined by Andrej Karpathy, co-founder of OpenAI and former director of AI at Tesla, who promoted a conversational programming model.
The goal is not to eliminate the programmer, but to free them from repetitive tasks so they can focus on the architecture, design, and strategy of the project.
From writing to feeling
Vibe Coding represents the cultural evolution of our relationship with machines. Early code assistants, such as GitHub Copilot and GPT Code Interpreter, paved the way. Today, AI can interpret the purpose or emotion behind an instruction, bringing us closer to more expressive programming.
According to Y Combinator, 25% of the startups in its group already have code bases that are 95% generated by AI.
In this context, software companies are not disappearing: they are leading the transformation, ensuring that the generated code is turned into secure, consistent, and scalable solutions.
Principles of Vibe Coding
“What if programming were more like art?”
From this idea arise the five principles that define this methodology:
- Communicate the purpose. The developer expresses intention, tone, and emotion.
- Collaborative relationship. AI and humans engage in dialogue; AI also makes suggestions.
- Correction and creativity. AI debugging and suggesting visual or structural improvements.
- Efficiency. Ideas are transformed into prototypes in minutes.
- Human supervision. Expert review remains essential to ensure quality, safety, and regulatory compliance.
How does it work?
Vibe Coding is based on multimodal AI models capable of understanding text, code, images, or visual references. The programmer defines a set of inputs or vibe packages, and the AI generates a functional prototype.
This elevates the role of the developer: instead of writing every line of code, they design the experience, acting as a creative architect of the process.
Differences from traditional development
Aspect |
Traditional development |
Vibe Coding |
|---|---|---|
|
Interaction |
Exact instructions |
Conversation with AI |
|
Accessibility |
Requires technical knowledge |
Anyone can come up with ideas |
|
Speed |
Weeks or months |
Prototypes in minutes |
|
Creativity |
Limited to technical logic |
Based on feelings and purpose |
|
Role of the developer |
Coder |
Strategist, supervisor, and technical curator |
Software companies remain essential: they ensure the reliability, scalability, and quality of AI-created software.
How to work with Vibe Coding
Adopting this methodology requires a change in mindset. For best results:
- Define the vibe or intention of the project.
- Create prompts rich in context, metaphors, and visual references.
- Maintain an iterative dialogue with the AI.
- Select, adjust, and refine the proposed versions.
- Review the final code with technical criteria.
Success lies in combining semantic precision and creative sensitivity.
Tools to get started with Vibe Coding
Some of the most prominent platforms already applying this approach:
- ChatGPT and GitHub Copilot — pioneers in conversational code generation.
- Replit AI — creates applications from brief descriptions.
- WindSurf — offers complete visual and aesthetic consistency.
- Lovable — enables collaborative work between programmers and creators.
The future will be hybrid
Vibe Coding does not eliminate programmers or software companies: it empowers them.
Teams that integrate AI into their workflows will be able to offer faster, more personalized solutions focused on the user experience.
Developers become technology strategists, quality curators, and code artists.
The future of programming will be hybrid: an alliance between human intuition and algorithmic precision.
What still lies ahead
Even so, Vibe Coding is far from replacing the work of developers on real projects. Business applications demand robustness, scalability, security, and ongoing maintenance, and human intervention remains essential in all these areas.
The AI models that make Vibe Coding possible are dense models, where each token is related to all the others. This architecture allows for complex reasoning, but it comes at a very high computational cost: even the most advanced systems can only handle a few medium-sized files before exhausting their context window. This limits their ability to understand and maintain systems with multiple modules, dependencies, or distributed architectures—the reality of modern software.
Furthermore, code generated by Vibe Coding, while useful for rapid prototyping, is often disposable code. It is a conceptual or visual starting point, not a solid technical foundation on which to build. In most cases, actual development starts from scratch, transforming AI-generated ideas into maintainable and secure solutions.
Therefore, the future of programming will not be a replacement, but a hybrid collaboration: AI will provide speed and inspiration, and human developers will ensure the architecture, quality, and consistency that enable software to work in the real world.