AGILE_BACKLOG.json

{
  "project": "Writer's Block Assistant",
  "description": "Following Semantic Seed Venture Studio's XP-oriented development standards with focus on BDD/TDD",
  "epics": [
    {
      "id": "E1",
      "name": "Infrastructure Foundation",
      "valueStatement": "Build secure, scalable infrastructure for the application",
      "securityImpact": "High",
      "stories": [
        {
          "id": "IF-001",
          "name": "Tenant Schema Setup",
          "points": 3,
          "type": "Feature",
          "branch": "feature/MT-001",
          "bddScenarios": [
            {
              "feature": "Multi-tenant Schema",
              "scenarios": [
                {
                  "name": "Schema creation",
                  "given": "tenant onboarding request",
                  "when": "creating schema",
                  "then": "isolated schema created",
                  "and": "baseline tables added"
                }
              ]
            }
          ],
          "acceptanceCriteria": [
            "Schema isolation",
            "Table creation",
            "Migration system"
          ],
          "testStrategy": [
            "Unit Tests: Schema",
            "Integration Tests: Isolation",
            "Migration Tests: Updates"
          ]
        },
        {
          "id": "IF-002",
          "name": "Tenant Configuration API",
          "points": 2,
          "type": "Feature",
          "branch": "feature/MT-002"
        },
        {
          "id": "IF-003",
          "name": "Tenant Data Isolation",
          "points": 3,
          "type": "Feature",
          "branch": "feature/MT-003"
        },
        {
          "id": "IF-004",
          "name": "Role Management API",
          "points": 3,
          "type": "Feature",
          "branch": "feature/RBAC-001"
        },
        {
          "id": "IF-005",
          "name": "Permission Assignment",
          "points": 2,
          "type": "Feature",
          "branch": "feature/RBAC-002"
        },
        {
          "id": "IF-006",
          "name": "Role Hierarchy",
          "points": 3,
          "type": "Feature",
          "branch": "feature/RBAC-003"
        },
        {
          "id": "IF-007",
          "name": "Vector Storage Setup",
          "points": 3,
          "type": "Feature",
          "branch": "feature/DB-001"
        },
        {
          "id": "IF-008",
          "name": "Data Partitioning",
          "points": 3,
          "type": "Feature",
          "branch": "feature/DB-002"
        },
        {
          "id": "IF-009",
          "name": "Backup & Recovery",
          "points": 3,
          "type": "Feature",
          "branch": "feature/DB-003"
        }
      ]
    },
    {
      "id": "E2",
      "name": "Content Management",
      "valueStatement": "Enable efficient content creation and management",
      "stories": [
        {
          "id": "CM-001",
          "name": "Version History Core",
          "points": 3,
          "type": "Feature",
          "branch": "feature/CMS-001"
        },
        {
          "id": "CM-002",
          "name": "Version Comparison",
          "points": 2,
          "type": "Feature",
          "branch": "feature/CMS-002"
        },
        {
          "id": "CM-003",
          "name": "Version Restoration",
          "points": 3,
          "type": "Feature",
          "branch": "feature/CMS-003"
        },
        {
          "id": "CM-004",
          "name": "Format Conversion",
          "points": 3,
          "type": "Feature",
          "branch": "feature/CMS-004"
        },
        {
          "id": "CM-005",
          "name": "Content Validation",
          "points": 2,
          "type": "Feature",
          "branch": "feature/CMS-005"
        },
        {
          "id": "CM-006",
          "name": "Content Analysis",
          "points": 3,
          "type": "Feature",
          "branch": "feature/CMS-006"
        }
      ]
    },
    {
      "id": "E3",
      "name": "AI Integration",
      "valueStatement": "Enable intelligent writing assistance through local AI models",
      "securityImpact": "High",
      "stories": [
        {
          "id": "AI-001",
          "name": "Ollama Service Integration",
          "points": 3,
          "type": "Feature",
          "branch": "feature/AI-001"
        },
        {
          "id": "AI-002",
          "name": "Model Management",
          "points": 2,
          "type": "Feature",
          "branch": "feature/AI-002"
        },
        {
          "id": "AI-003",
          "name": "Inference Pipeline",
          "points": 3,
          "type": "Feature",
          "branch": "feature/AI-003"
        },
        {
          "id": "AI-004",
          "name": "Vector Generation",
          "points": 2,
          "type": "Feature",
          "branch": "feature/AI-004"
        },
        {
          "id": "AI-005",
          "name": "Similarity Search",
          "points": 3,
          "type": "Feature",
          "branch": "feature/AI-005"
        },
        {
          "id": "AI-006",
          "name": "Context Ranking",
          "points": 3,
          "type": "Feature",
          "branch": "feature/AI-006"
        },
        {
          "id": "AI-007",
          "name": "Style Profiling",
          "points": 2,
          "type": "Feature",
          "branch": "feature/AI-007"
        },
        {
          "id": "AI-008",
          "name": "Style Checking",
          "points": 3,
          "type": "Feature",
          "branch": "feature/AI-008"
        },
        {
          "id": "AI-009",
          "name": "Style Adaptation",
          "points": 3,
          "type": "Feature",
          "branch": "feature/AI-009"
        },
        {
          "id": "AI-010a",
          "name": "Real Embedding Generation",
          "points": 3,
          "type": "Feature",
          "branch": "feature/AI-010a",
          "dependencies": ["AI-001", "AI-002", "AI-004"],
          "bddScenarios": [
            {
              "feature": "Real Embedding Generation",
              "scenarios": [
                {
                  "name": "Generate embeddings for text",
                  "given": "text content to embed",
                  "when": "generating vector embeddings",
                  "then": "real embeddings are created with correct dimensions",
                  "and": "performance is under 1s per fragment"
                },
                {
                  "name": "Integration with ModelManager",
                  "given": "ModelManager is available",
                  "when": "requesting embeddings with specific model",
                  "then": "model is loaded via ModelManager",
                  "and": "embeddings are generated using that model"
                },
                {
                  "name": "Error handling",
                  "given": "model is unavailable",
                  "when": "attempting to generate embeddings",
                  "then": "appropriate error is raised",
                  "and": "error message is descriptive"
                }
              ]
            }
          ],
          "acceptanceCriteria": [
            "Real API calls to embedding models (no stubs)",
            "Integration with ModelManager working",
            "Embeddings generated with correct dimensions",
            "Performance under 1s per text fragment",
            "Basic error handling implemented",
            "Unit and integration tests passing"
          ],
          "testStrategy": [
            "Unit Tests: Embedding generation logic",
            "Integration Tests: ModelManager integration",
            "Performance Tests: <1s per fragment SLA",
            "Error Tests: Graceful failure handling"
          ]
        },
        {
          "id": "AI-010b",
          "name": "Embedding Cache & Multi-Model",
          "points": 2,
          "type": "Feature",
          "branch": "feature/AI-010b",
          "dependencies": ["AI-010a"],
          "bddScenarios": [
            {
              "feature": "Embedding Cache & Multi-Model",
              "scenarios": [
                {
                  "name": "Cache frequently used embeddings",
                  "given": "previously embedded text",
                  "when": "requesting embeddings again",
                  "then": "cached embeddings are returned",
                  "and": "response time is under 100ms"
                },
                {
                  "name": "Multiple embedding models",
                  "given": "different embedding models available",
                  "when": "selecting specific model",
                  "then": "embeddings use that model",
                  "and": "dimensions match model specifications"
                },
                {
                  "name": "Cache invalidation",
                  "given": "cached embeddings",
                  "when": "cache size limit reached",
                  "then": "least recently used embeddings evicted",
                  "and": "cache remains performant"
                }
              ]
            }
          ],
          "acceptanceCriteria": [
            "Caching for frequently used embeddings",
            "<100ms for cached embeddings",
            "Support for multiple embedding models",
            "Dynamic dimension handling",
            "Cache hit/miss metrics tracked",
            "Performance SLAs met"
          ],
          "testStrategy": [
            "Cache Tests: Hit/miss scenarios",
            "Performance Tests: <100ms for cached",
            "Multi-model Tests: Different models and dimensions",
            "Metrics Tests: Cache statistics tracking"
          ]
        }
      ]
    },
    {
      "id": "E4",
      "name": "Knowledge Management",
      "valueStatement": "Create and maintain knowledge structures from content",
      "stories": [
        {
          "id": "KM-001",
          "name": "Vault Sync Core",
          "points": 3,
          "type": "Feature",
          "branch": "feature/KM-001"
        },
        {
          "id": "KM-002",
          "name": "Markdown Processing",
          "points": 2,
          "type": "Feature",
          "branch": "feature/KM-002"
        },
        {
          "id": "KM-003",
          "name": "Metadata Management",
          "points": 3,
          "type": "Feature",
          "branch": "feature/KM-003"
        },
        {
          "id": "KM-004",
          "name": "Conflict Resolution",
          "points": 3,
          "type": "Feature",
          "branch": "feature/KM-004"
        },
        {
          "id": "KM-005",
          "name": "Graph Core",
          "points": 3,
          "type": "Feature",
          "branch": "feature/KM-005"
        },
        {
          "id": "KM-006",
          "name": "Graph Visualization",
          "points": 3,
          "type": "Feature",
          "branch": "feature/KM-006"
        },
        {
          "id": "KM-007",
          "name": "Graph Search",
          "points": 2,
          "type": "Feature",
          "branch": "feature/KM-007"
        },
        {
          "id": "KM-008",
          "name": "Graph Analytics",
          "points": 3,
          "type": "Feature",
          "branch": "feature/KM-008"
        }
      ]
    },
    {
      "id": "E5",
      "name": "VSCode Extension",
      "valueStatement": "Provide seamless writing assistance within VSCode",
      "stories": [
        {
          "id": "VSC-001",
          "name": "Command Integration",
          "points": 2,
          "type": "Feature",
          "branch": "feature/VSC-001"
        },
        {
          "id": "VSC-002",
          "name": "Custom Views",
          "points": 3,
          "type": "Feature",
          "branch": "feature/VSC-002"
        },
        {
          "id": "VSC-003",
          "name": "Input Handling",
          "points": 3,
          "type": "Feature",
          "branch": "feature/VSC-003"
        },
        {
          "id": "VSC-004",
          "name": "WebSocket Core",
          "points": 3,
          "type": "Feature",
          "branch": "feature/VSC-004"
        },
        {
          "id": "VSC-005",
          "name": "Live Suggestions",
          "points": 3,
          "type": "Feature",
          "branch": "feature/VSC-005"
        },
        {
          "id": "VSC-006",
          "name": "Collaboration",
          "points": 3,
          "type": "Feature",
          "branch": "feature/VSC-006"
        },
        {
          "id": "VSC-007",
          "name": "Performance Optimization",
          "points": 2,
          "type": "Feature",
          "branch": "feature/VSC-007"
        }
      ]
    },
    {
      "id": "E6",
      "name": "Enterprise Features",
      "valueStatement": "Provide enterprise-grade security, compliance, and analytics",
      "stories": [
        {
          "id": "ENT-001",
          "name": "Usage Tracking",
          "points": 3,
          "type": "Feature",
          "branch": "feature/ENT-001"
        },
        {
          "id": "ENT-002",
          "name": "Performance Monitoring",
          "points": 3,
          "type": "Feature",
          "branch": "feature/ENT-002"
        },
        {
          "id": "ENT-003",
          "name": "Analytics Dashboard",
          "points": 2,
          "type": "Feature",
          "branch": "feature/ENT-003"
        }
      ]
    }
  ],
  "definitionOfReady": [
    "Story has clear acceptance criteria",
    "Dependencies are identified",
    "Technical approach is understood",
    "Story is estimated and sized ≤3 points",
    "Test scenarios are defined"
  ],
  "definitionOfDone": [
    "Code is reviewed and approved",
    "Tests are passing",
    "Documentation is updated",
    "Acceptance criteria met",
    "Performance requirements met"
  ]
}