Building software mainly by describing what you want to an AI tool in plain language and accepting the code it generates, with little manual coding.
The phrase vibe coding was coined by AI researcher Andrej Karpathy in early 2025 to describe a casual style of programming in which the developer talks to an AI coding assistant, runs whatever it produces, and keeps iterating by describing problems rather than reading the code closely.
Vibe coding can be useful for prototypes, personal tools, and quick experiments. A shop owner might describe a simple stock-tracking page and get a working version in an afternoon. The risks grow when such code goes into production. Code that nobody fully understands may contain security flaws, poor error handling, or hidden costs, and it can be hard to maintain. For business-critical software, AI-generated code still needs review, testing, and someone accountable for it.
An AI assistant built into an application that helps a person with tasks as they work, while the person stays in control of decisions.
Code ReviewThe practice of having other developers examine code changes before they are merged, to catch bugs and keep quality consistent.
Technical DebtThe future cost of rework caused by choosing a quick or easy software solution now instead of a better long-term approach.
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Vibe coding lets anyone build an app by chatting with AI. Here is where it shines, where it breaks, and the review steps that make AI-built code safe to ship.
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