A style of software development where the user describes what they want in plain language, accepts the AI-generated code without reading it, and iterates by pasting error messages back until it works.
Vibe coding is exactly what it sounds like. You describe the vibe of what you want, the AI writes the code, and you do not read it. If it works, great. If it breaks, you paste the error message back and let the AI fix it. Repeat until the thing does what you wanted.
The term entered the conversation in early 2025 and quickly became shorthand for a specific trade-off: accessibility for accountability. People who could not write code before can now build functional prototypes, internal tools, and small applications by describing what they want in plain English. The barrier to creating software dropped to near zero.
Where it works
Vibe coding is strong for prototyping, personal tools, one-off scripts, and proof-of-concept demos. Situations where speed matters more than durability and the consequences of bugs are low. A marketing manager building a quick data visualization for an internal meeting. A founder testing whether an idea has legs before investing in engineering. These are legitimate use cases.
Where it breaks down
The person using the tool does not understand the code that was generated. They cannot debug it, secure it, optimize it, or maintain it without returning to the AI for every change. For production systems that need to scale, handle sensitive data, or survive beyond next week, that dependency creates fragile software that nobody on the team can support.
Why it matters
Vibe coding is not a development methodology. It is a capability threshold. More people can now build functional software than at any point in history. That changes who participates in building technology and how fast ideas can be tested. The discipline question is knowing when vibe coding is the right approach and when the work demands something more rigorous.