Glossário de AI & Vibe Coding
10 definições diretas dos termos de AI coding que você realmente encontra. Sem marketing, sem desfile de buzzword — só o que o termo significa e por que 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.
Ler definição →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.
Ler definição →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.
Ler definição →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.
Ler definição →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.
Ler definição →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.
Ler definição →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.
Ler definição →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.
Ler definição →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.
Ler definição →