With the ever-evolving technological industry, the trend is shifting from complex programming languages to simple English commands.
This method known as “vibe coding,” allows entrepreneurs and small businesses to construct functional applications in days instead of months.
An esteemed startup accelerator, Y Combinator, brought vibe coding to mainstream as the quarter of the companies in its latest batch stated that a staggering 95% of their codebase has been generated via vibe coding instead of humans.
The term vibe coding was coined by Andrej Karpathy in early 2025 that simply means to build software from plain English instead of complex programming language with the help of AI.
Any layman using vibe coding writes a sentence to an artificial intelligence (AI) tool.
The difference between the traditional coding and vibe coding is fundamental.
Traditional programming involves a thorough knowledge of programming syntax-rules and grammar of a computer language.
All the lines of code have to be written in-house, which is a laborious process requiring debugging all the time to identify and resolve the smallest bugs such as a misplaced semi-colon.
On the other hand, vibe coding is all about the what and not the how.
The user must have a clear vision on what he or she wants the software to do but he or she does not need to understand how to do it technically.
The AI is responsible for a complicated task to translate the intent of the user into code.
According to the Y Combinator leadership, the number of startups using this method is increasing at a rate that has never been seen before 10% per week.
These companies are achieving profitability at a quicker pace due to the capability of developing with small groups and minimal capital available.
Individual creators are also taking advantage of technology beyond Silicon Valley.
Cases in point can be a crypto visualization application created without programming experience or gaming startups creating working prototypes within days rather than months.
Despite the hype and ease, experts warned the users highlighting significant limitations. Experts warned that “AI hallucinations” can produce code that looks correct but contains subtle, critical bugs.
Security is a major concern in the tech industry as AI may generate codes with vulnerabilities like hardcoded passwords or SQL injection flaws.
Additionally, a “complexity ceiling” exists. While AI is great in standard applications, it is not so good at designing complex distributed systems.
The maintainability of AI-generated code is also a question that is open and this presents dangers to the long-term projects.
