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Vibecoding is a conceptual approach for intentionally shaping team culture, communication patterns and code artifacts so that intentions and priorities become visible through minimal, embedded signals in the development workflow. It combines social norms, review rituals and lightweight code annotations to improve decision transparency, psychological safety a…
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Vibe coding is programming in which people generate code largely through natural-language interaction with an AI system and iterate by trying it out.
Andrej Karpathy coined the term in a public post in February 2025 for a style where a person describes a desired feature and mainly runs and observes generated code. The practice builds on AI coding assistants.
You describe intent, the AI proposes code, you try it, and give feedback. Like with a fast intern, you remain responsible for tests, understanding, and consequences.
Natural language is the primary input.
Trying and feedback shape the draft.
Human review secures quality and safety.
Vibe coding enables fast prototypes and lowers the barrier to code. It fits experiments; critical software still needs reviews, tests, and maintenance.
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