AI workflows

What is Vibe coding? Definition & Context

Vibe coding is the practice of building software by describing intent to an AI in natural language and letting the AI write, refactor, and ship the code.

Vibe coding is the practice of building software by describing intent to an AI in natural language and letting the AI write, refactor, and ship the code. It moves the developer's center of gravity from typing characters to specifying behavior — what the thing should do, who it's for, what edge cases matter — and lets the model handle the boilerplate underneath.

The term emerged in late 2024 as IDE-integrated agents (Cursor, Windsurf, Claude Code, Cline) crossed a quality threshold where most production code could be generated rather than typed. By 2026, "vibe coding" describes both the workflow and the discipline around it: prompt construction, spec writing, agent supervision, and reviewing AI-generated diffs.

It is not "no-code." Developers still need to read code, judge architecture, and own correctness. But the time spent on syntax, idiomatic structure, and routine wiring drops sharply. The skill that scales is being precise about intent.

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Related terms

Prompt engineering

Prompt engineering is the discipline of structuring instructions to language models — including context, constraints, and output format — to get reliably high-quality results.

Agentic coding

Agentic coding is vibe coding done by an autonomous AI agent that reads context, plans steps, calls tools, and ships changes without you typing each instruction.

Context engineering

Context engineering is the practice of choosing exactly what information goes into the model's context window — files, snippets, specs — so the AI has the right knowledge without noise.

Pillar page

A pillar page is the long, evergreen guide at the center of a topic cluster — broad enough to rank for the head term, with internal links out to deeper supporting articles.