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Consultoria AS 79b5d86325 feat: CRM Clinicas SaaS - MVP completo

- Auth: Login/Register con creacion de clinica
- Dashboard: KPIs reales, graficas recharts
- Pacientes: CRUD completo con busqueda
- Agenda: FullCalendar, drag-and-drop, vista recepcion
- Expediente: Notas SOAP, signos vitales, CIE-10
- Facturacion: Facturas con IVA, campos CFDI SAT
- Inventario: Productos, stock, movimientos, alertas
- Configuracion: Clinica, equipo, catalogo servicios
- Supabase self-hosted: 18 tablas con RLS multi-tenant
- Docker + Nginx para produccion

Co-Authored-By: claude-flow <ruv@ruv.net>

2026-03-03 07:04:14 +00:00

1.3 KiB

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Performance Bottleneck Analysis

Purpose

Identify and resolve performance bottlenecks in your development workflow.

Automated Analysis

1. Real-time Detection

The post-task hook automatically analyzes:

Execution time vs. complexity
Agent utilization rates
Resource constraints
Operation patterns

2. Common Bottlenecks

Time Bottlenecks:

Tasks taking > 5 minutes
Sequential operations that could parallelize
Redundant file operations

Coordination Bottlenecks:

Single agent for complex tasks
Unbalanced agent workloads
Poor topology selection

Resource Bottlenecks:

High operation count (> 100)
Memory constraints
I/O limitations

3. Improvement Suggestions

Tool: mcp__claude-flow__task_results
Parameters: {"taskId": "task-123", "format": "detailed"}

Result includes:
{
  "bottlenecks": [
    {
      "type": "coordination",
      "severity": "high",
      "description": "Single agent used for complex task",
      "recommendation": "Spawn specialized agents for parallel work"
    }
  ],
  "improvements": [
    {
      "area": "execution_time",
      "suggestion": "Use parallel task execution",
      "expectedImprovement": "30-50% time reduction"
    }
  ]
}

Continuous Optimization

The system learns from each task to prevent future bottlenecks!

1.3 KiB Raw Blame History