Cheatsheet de Vibe Coding y Entornos de IA: .cursorrules, MCP y Atajos Clave
La referencia definitiva para Vibe Coding. Configuraciones de .cursorrules para producción, sintaxis de configuración MCP, atajos de Composer en Cursor y patrones de prompts de alta velocidad.
1. Production .cursorrules Architecture Template
A focused .cursorrules or CLAUDE.md file prevents hallucination loops and forces the AI agent to follow your exact project conventions.
# .cursorrules for Modern TypeScript & Next.js
You are a Senior Full-Stack Software Architect.
## Principles
- Always write clean, idiomatic, fully-typed TypeScript 5+.
- Never use 'any'; create explicit discriminated union types.
- Prefer functional composition and small, testable pure functions.
- For state management, prefer server components and URL searchParams before React state.
- Every async function must include robust error handling and structured logging.
## Verification Routine
- Run 'npm run lint' and 'npm run build' before suggesting that a task is complete.
- Only modify the specific files required for the feature.
2. Model Context Protocol (MCP) Python Server Skeleton
FastMCP allows creating custom tools in 10 lines of code that Claude, Cursor, and Windsurf can call directly.
from mcp.server.fastmcp import FastMCP
mcp = FastMCP("CodebaseAnalyzer")
@mcp.tool()
def inspect_dependency_health(package_name: str) -> str:
"""Analyze security vulnerabilities and license compliance for a package."""
# Fast tool execution query
return f"Analysis complete for {package_name}: 0 vulnerabilities detected, MIT licensed."
if __name__ == "__main__":
mcp.run(transport="stdio")
3. Ollama CLI & Local LLM Management Commands
Ollama enables zero-cost, private local model execution that connects directly to AI IDEs as a custom backend.
# Run DeepSeek R1 reasoning model locally (8B quantized)
ollama run deepseek-r1:8b
# Run Llama 3.3 for general programming
ollama run llama3.3:70b
# Serve OpenAI-compatible API on http://localhost:11434/v1
ollama serve
# Create a customized model with system prompt
ollama create code-expert -f ./Modelfile
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