{
  "phase_id": 0,
  "name": "Foundation & Infrastructure",
  "epic": "Epic 1",
  "story_points": 37,
  "priority": "P0",
  "dependencies": [],
  "version": "v1.0",
  "user_stories": [
    {
      "story_id": "1.1",
      "title": "Development Environment Setup",
      "description": "As a Developer, I want a fully configured development environment so that I can start building features immediately",
      "acceptance_criteria": [
        "Python 3.11+ installed with virtual environment",
        "Node.js 20+ installed with npm/pnpm",
        "Docker Desktop running with all containers",
        "VS Code with Claude Code extension",
        "Git configured with SSH keys",
        "Access to all required repositories"
      ],
      "tasks": [
        "Install Python 3.11 (pyenv recommended)",
        "Install Node.js 20 (nvm recommended)",
        "Install Docker Desktop",
        "Install VS Code + extensions (Python, ESLint, Prettier, Claude Code)",
        "Configure Git (name, email, SSH key)",
        "Clone repositories: RAG Heat, SWARMCARE"
      ],
      "story_points": 3,
      "priority": "P0"
    },
    {
      "story_id": "1.2",
      "title": "Cloud Infrastructure Provisioning",
      "description": "As a DevOps Engineer, I want production-ready cloud infrastructure so that all services can be deployed and scaled",
      "acceptance_criteria": [
        "GCP/AWS account created and configured",
        "Kubernetes cluster (GKE/EKS) provisioned",
        "VPC, subnets, security groups configured",
        "Cloud databases provisioned (PostgreSQL, Redis)",
        "Monitoring stack deployed (Prometheus, Grafana)",
        "CI/CD pipeline active (GitHub Actions)"
      ],
      "tasks": [
        "Create GCP project or AWS account",
        "Provision GKE cluster (3 nodes minimum)",
        "Set up VPC with public/private subnets",
        "Deploy PostgreSQL (Cloud SQL or RDS)",
        "Deploy Redis (Cloud Memorystore or ElastiCache)",
        "Set up Prometheus + Grafana",
        "Configure GitHub Actions for CI/CD",
        "Set up secrets management (GCP Secret Manager or AWS Secrets Manager)"
      ],
      "story_points": 13,
      "priority": "P0"
    },
    {
      "story_id": "1.3",
      "title": "Neo4j Knowledge Graph Setup",
      "description": "As a Data Engineer, I want a Neo4j instance with medical ontologies loaded so that the RAG system can perform knowledge graph queries",
      "acceptance_criteria": [
        "Neo4j 5.x deployed (cloud or self-hosted)",
        "13 medical ontologies downloaded",
        "Ontology loading scripts created",
        "All ontologies loaded into Neo4j",
        "Indexes created for performance",
        "Sample queries validated"
      ],
      "tasks": [
        "Deploy Neo4j (Neo4j Aura or self-hosted on GCP/AWS)",
        "Download 13 ontologies (SNOMED-CT, ICD-10/11, RxNorm, LOINC, CPT, HL7 FHIR, UMLS, HPO, GO, DO, DrugBank, CQL, OMOP CDM)",
        "Create Python scripts for ontology parsing",
        "Transform ontologies to graph format",
        "Batch load into Neo4j",
        "Create indexes on common fields",
        "Write validation queries",
        "Test query performance (<100ms for simple queries)"
      ],
      "story_points": 21,
      "priority": "P0"
    }
  ]
}