Glosario de AI & Vibe Coding
10 definiciones claras de los términos de AI coding con los que de verdad te topas. Sin marketing, sin desfile de buzzwords — qué significa el término y por qué importa.
AI workflows
Vibe coding
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.
Leer definición →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.
Leer definición →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.
Leer definición →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.
Leer definición →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.
Leer definición →AI concepts
AI tools
Model Context Protocol (MCP)
MCP is an open protocol from Anthropic that lets language models connect to external tools and data sources through a standard interface — the USB-C of LLM tool use.
Leer definición →Cursor
Cursor is a VS Code-based AI code editor that bakes language models into the editing loop — completions, multi-file edits, codebase chat, and autonomous agents.
Leer definición →Frontend
Design system
A design system is the shared set of reusable components, tokens, and rules a product uses to keep its UI consistent at scale.
Leer definición →shadcn/ui
shadcn/ui is a copy-paste component library — Tailwind + Radix primitives — that has become a de facto standard for AI-generated React UIs.
Leer definición →