- Vibe Coding allows generate code using natural language with IA, without the need for manual programming.
- The concept was popularized by Andrej Karpathy in 2025, highlighting its conversational approach.
- Companies and startups are already integrating this technique, although it presents challenges in terms of code control and understanding.
- Its impact on the software industry could redefine the role of the programmer in the future.
Vibe Coding is a term that has gained popularity in 2025 thanks to Andrej Karpathy, co-founder of OpenAI and former AI leader at Tesla. This new approach to programming It's based on the use of extensive language models (LLMs) to generate code from natural language descriptions. The idea is that the programmer doesn't have to write code line by line, but rather interacts with the AI to build the functionality they need.
This method is transforming the way people develop software, allowing even those with no programming experience to create functional applications with conversational instructions. However, it also raises significant challenges in terms of code understanding, debugging, and the quality of the resulting software.
The origin of Vibe Coding
The concept of Vibe Coding was born when Carpathia He noticed that he could develop projects simply by describing what he wanted to an AI assistant, rather than writing code manually. In his own words, he said this method was like “seeing things, saying things, and copying them,” trusting that the result would be functional. This approach is reminiscent of the challenge programmers face in understanding technological systems.
The basis of this idea goes back to a observation 2023, when Karpathy claimed that "the hottest new programming language is English." His argument was that AI models have reached a level where they can translate natural language instructions into executable code without the user needing to understand traditional programming languages.
How does Vibe Coding work?
The Vibe Coding process is based on a interactive approach with AI models such as Claudia 3.7 or AI-assisted programming tools. A user can simply describe the functionality they need, and the AI will generate the corresponding code. For example, they might be asked:
Create a 3D browser-based shooter game with skyscrapers.
In a few minutes, the model will generate a functional code that allows interact with the game. However, this code may need adjustments or corrections, which leads to another phenomenon known as Vibe Debugging, where programmers try to fix bugs without really understanding the code structure. This is similar to the problems some users have with their devices, such as when the Android phone vibrates for no apparent reason.
Vibe Coding Use Cases
In recent months, there have been numerous examples of projects developed using this approach. Some notable cases include:
- Personal applications: Kevin Roose, a journalist for the New York Times, used this technique to create an app called LunchBox Buddy, which analyzes the contents of the refrigerator to suggest lunches.
- Payment Solution video games: An influencer known as Levelsio generated a flight simulator simply by describing what he wanted to the AI.
- Word processing tools: Karpathy mentioned having developed an application that uses LLMs to answer questions on specific documents.
Impact on the software industry
The rise of Vibe Coding has generated so much enthusiasm , the concern within the tech community. While some see this approach as a way to democratize programming and allow more people to create software, others warn of the risks of generating code without understanding how it works. This is a challenge that has been observed in other areas of technology, as has happened with random vibration on Android devices.
Companies like And Combinator have quickly embraced this trend. According to a March 2025 report, 25% of startups in its winter program had generated at least 95% of their code with AI, reflecting a significant shift in the way digital products are developed.
Risks and Limitations of Vibe Coding
Despite the advantages it offers, this approach is not without its problems. Some risks include:
- Lack of understanding of the code: Developers may use code snippets without really knowing how they work, making debugging and maintenance difficult.
- Over-reliance on AI: Relying on language models for programming can cause programmers to miss out on essential skills.
- Errors and biases: AIs do not always generate perfectly correct code and can introduce errors that are difficult to detect.
The Future of Vibe Coding
Vibe Coding won't completely replace programmers, but it will change the way software is developed. It's likely that in the future, natural language will become just another layer of abstraction within software development, allowing humans to focus on more creative and innovative aspects. This could be similar to how the use of technology has changed in other areas, such as selection of technological devices.
However, it will still be essential to have programmers with solid knowledge who can monitor the results generated by AI and ensure that the code is secure, efficient, and scalable.
Vibe Coding marks a turning point in the software industry, opening up new opportunities for those without programming experience while challenging traditional methodologies. With the advancement of AI, programming could become more accessible, but it will also require a balanced approach to avoid potential associated problems.
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