# Complete View Taxonomy for Trace Multi-View PM System

**Date**: 2025-11-20
**Version**: 3.0 (Comprehensive with Atomic Integration)
**Total Views**: 32 views organized into 8 categories
**Philosophy**: Optimal & Comprehensive - include views with real, measurable value

---

## Executive Summary

This document defines the complete view taxonomy for trace, a comprehensive multi-view project management system for orchestrating 1000+ AI agents. Each view represents a distinct perspective optimized for specific workflows, with full atomic decomposition and cascading update support.

**Key Principles**:
- **Comprehensive Coverage**: From vision to deployment, business to code
- **Atomic Foundation**: All views built on atomic entities (swappable components)
- **Real-time Consistency**: Changes cascade across all related views automatically
- **Justified Complexity**: Each view provides measurable value
- **Incremental Adoption**: Start with 7 core views, expand to 32 as product matures

**View Count by Category**:
- Product/Strategy: 6 views
- User Experience: 6 views
- Technical Design: 6 views
- Implementation: 5 views
- Quality/Verification: 4 views
- Operations: 5 views
- Collaboration: 4 views
- Governance/Temporal: 6 views

**Total**: 32 views

---

## Category A: Product/Strategy Views (6 views)

### 1. VISION View

**Purpose**: North star for product direction, strategic goals, and success criteria

**Value**: Aligns entire organization around common goals, prevents feature drift

**Atomic Entities**:
- Vision statement atoms
- Strategic goal atoms
- Success criteria atoms (measurable outcomes)
- Stakeholder atoms
- Principle atoms (core values)

**Schema**:
```sql
CREATE TABLE vision_views (
    id UUID PRIMARY KEY,
    product_id UUID NOT NULL,
    statement TEXT NOT NULL,
    strategic_goals JSONB,  -- [{goal, priority, timeline}]
    success_criteria JSONB,  -- [{metric, baseline, target, deadline}]
    stakeholders JSONB,     -- [{name, role, influence}]
    principles JSONB,       -- [{principle, rationale, examples}]
    timeframe_months INT DEFAULT 24,
    status TEXT CHECK (status IN ('draft', 'active', 'archived')),
    version INT DEFAULT 1,
    created_at TIMESTAMPTZ DEFAULT NOW(),
    updated_at TIMESTAMPTZ DEFAULT NOW()
);
```

**Relationships**:
- Drives → OKR View, Roadmap View
- Influences → Epic View, Feature View
- Measured by → KPI View

**Example**:
```json
{
  "statement": "Enable 10M developers to ship code 10x faster through AI-powered workflows by 2027",
  "strategic_goals": [
    {"goal": "Become #1 AI coding assistant", "priority": 1, "timeline": "24 months"},
    {"goal": "Achieve 90% developer satisfaction", "priority": 2, "timeline": "18 months"}
  ],
  "success_criteria": [
    {"metric": "Active users", "baseline": "100K", "target": "10M", "deadline": "2027-12-31"},
    {"metric": "Time to ship features", "baseline": "2 weeks", "target": "2 days", "deadline": "2026-12-31"}
  ],
  "principles": [
    {"principle": "Power users first", "rationale": "Expert developers drive adoption", "examples": ["Keyboard shortcuts everywhere", "CLI-first design"]}
  ]
}
```

---

### 2. OKR View

**Purpose**: Quarterly objectives and measurable key results

**Value**: Translates vision into actionable quarterly goals, tracks progress

**Atomic Entities**:
- Objective atoms (qualitative goals)
- Key result atoms (quantitative metrics)
- Initiative atoms (work items)
- Confidence atoms (on-track, at-risk, off-track)

**Schema**:
```sql
CREATE TABLE okr_views (
    id UUID PRIMARY KEY,
    product_id UUID NOT NULL,
    quarter TEXT NOT NULL,  -- "2025-Q1"
    vision_id UUID REFERENCES vision_views(id),
    created_at TIMESTAMPTZ DEFAULT NOW()
);

CREATE TABLE objectives (
    id UUID PRIMARY KEY,
    okr_view_id UUID REFERENCES okr_views(id),
    statement TEXT NOT NULL,
    owner_id UUID,
    status TEXT CHECK (status IN ('draft', 'active', 'completed', 'abandoned')),
    created_at TIMESTAMPTZ DEFAULT NOW()
);

CREATE TABLE key_results (
    id UUID PRIMARY KEY,
    objective_id UUID REFERENCES objectives(id),
    metric TEXT NOT NULL,
    baseline FLOAT,
    target FLOAT NOT NULL,
    current FLOAT,
    unit TEXT,
    confidence TEXT CHECK (confidence IN ('on-track', 'at-risk', 'off-track')),
    last_updated TIMESTAMPTZ DEFAULT NOW()
);

CREATE TABLE okr_initiatives (
    id UUID PRIMARY KEY,
    key_result_id UUID REFERENCES key_results(id),
    initiative_type TEXT CHECK (initiative_type IN ('epic', 'feature', 'experiment')),
    initiative_id UUID,
    impact_estimate FLOAT,  -- How much this moves the KR (0-1)
    status TEXT
);
```

**Relationships**:
- Implements → Vision View
- Drives → Epic View, Feature View
- Measured by → KPI View
- Tracked in → Timeline View

**Cascading**: When KR target changes → affected initiatives are flagged for review

**Example**:
```json
{
  "quarter": "2025-Q1",
  "objectives": [
    {
      "statement": "Achieve product-market fit with enterprise customers",
      "owner": "CEO",
      "key_results": [
        {"metric": "Enterprise ARR", "baseline": 500000, "target": 2000000, "current": 1200000, "unit": "$", "confidence": "on-track"},
        {"metric": "Enterprise customers", "baseline": 5, "target": 20, "current": 12, "unit": "count", "confidence": "at-risk"},
        {"metric": "Enterprise NPS", "baseline": 45, "target": 70, "current": 58, "confidence": "on-track"}
      ],
      "initiatives": [
        {"type": "epic", "id": "EPIC-042", "impact": 0.6},  // SSO/SAML = 60% of ARR goal
        {"type": "feature", "id": "FEAT-301", "impact": 0.3}  // Advanced permissions = 30% of ARR goal
      ]
    }
  ]
}
```

---

### 3. ROADMAP View

**Purpose**: Time-based plan of features and initiatives with dependencies

**Value**: Coordinates work across teams, sets expectations with stakeholders

**Atomic Entities**:
- Milestone atoms (time-bound deliverables)
- Epic atoms (large initiatives)
- Theme atoms (strategic groupings)
- Dependency atoms (ordering constraints)
- Lane atoms (team/capability tracks)

**Schema**:
```sql
CREATE TABLE roadmap_views (
    id UUID PRIMARY KEY,
    product_id UUID NOT NULL,
    name TEXT NOT NULL,
    time_horizon_months INT DEFAULT 12,
    start_date DATE NOT NULL,
    created_at TIMESTAMPTZ DEFAULT NOW()
);

CREATE TABLE roadmap_themes (
    id UUID PRIMARY KEY,
    roadmap_id UUID REFERENCES roadmap_views(id),
    name TEXT NOT NULL,
    color TEXT,
    strategic_priority INT,
    description TEXT
);

CREATE TABLE roadmap_milestones (
    id UUID PRIMARY KEY,
    roadmap_id UUID REFERENCES roadmap_views(id),
    name TEXT NOT NULL,
    target_date DATE NOT NULL,
    confidence TEXT CHECK (confidence IN ('low', 'medium', 'high')),
    status TEXT CHECK (status IN ('planned', 'in-progress', 'delivered', 'deferred'))
);

CREATE TABLE roadmap_items (
    id UUID PRIMARY KEY,
    roadmap_id UUID REFERENCES roadmap_views(id),
    milestone_id UUID REFERENCES roadmap_milestones(id),
    theme_id UUID REFERENCES roadmap_themes(id),
    item_type TEXT NOT NULL,  -- 'epic', 'feature'
    item_id UUID NOT NULL,
    lane TEXT,  -- Team or capability
    start_date DATE,
    end_date DATE,
    position INT  -- Ordering within lane
);

CREATE TABLE roadmap_dependencies (
    id UUID PRIMARY KEY,
    from_item_id UUID REFERENCES roadmap_items(id),
    to_item_id UUID REFERENCES roadmap_items(id),
    dependency_type TEXT CHECK (dependency_type IN ('blocks', 'requires', 'enables')),
    UNIQUE(from_item_id, to_item_id)
);
```

**Relationships**:
- Implements → OKR View, Vision View
- Contains → Epic View, Feature View
- Visualizes → Timeline View, PERT Chart View
- Constrained by → Resource View, Dependency View

**Cascading**: When epic is delayed → all dependent epics in roadmap are flagged

**Example**: See roadmap with 3 themes (Enterprise, Mobile, AI Features), 4 milestones (Q1-Q4), 12 epics across 4 lanes (Backend, Frontend, Data, Infra)

---

### 4. EPIC View

**Purpose**: Large initiatives spanning multiple features (3-6 months)

**Value**: Coordinates cross-functional work, tracks complex deliverables

**Atomic Entities**:
- Epic atoms (high-level initiatives)
- Feature atoms (user-facing capabilities)
- Dependency atoms (prerequisite epics)
- Success metric atoms (measurable outcomes)

**Schema**:
```sql
CREATE TABLE epic_views (
    id UUID PRIMARY KEY,
    product_id UUID NOT NULL,
    title TEXT NOT NULL,
    description TEXT,
    business_value TEXT,
    success_metrics JSONB,  -- [{name, baseline, target, unit}]
    estimated_start DATE,
    estimated_end DATE,
    actual_start DATE,
    actual_end DATE,
    status TEXT CHECK (status IN ('proposed', 'planned', 'in-progress', 'completed', 'cancelled')),
    confidence FLOAT CHECK (confidence >= 0 AND confidence <= 1),
    team_id UUID,
    owner_id UUID,
    created_at TIMESTAMPTZ DEFAULT NOW(),
    updated_at TIMESTAMPTZ DEFAULT NOW()
);

CREATE TABLE epic_dependencies (
    id UUID PRIMARY KEY,
    epic_id UUID REFERENCES epic_views(id),
    depends_on_epic_id UUID REFERENCES epic_views(id),
    dependency_type TEXT CHECK (dependency_type IN ('blocks', 'requires', 'enables')),
    description TEXT,
    UNIQUE(epic_id, depends_on_epic_id)
);
```

**Relationships**:
- Part of → Roadmap View
- Decomposes into → Feature View
- Depends on → Other Epics
- Measured in → KPI View, Metrics View

**Cascading**: When epic is cancelled → all child features flagged for review

---

### 5. FEATURE View

**Purpose**: User-facing capabilities (1-2 sprint deliverable)

**Value**: Core unit of product development, bridges business and technical

**Atomic Entities**:
- Feature atoms (capabilities)
- User story atoms (value statements)
- Acceptance criteria atoms
- Priority atoms

**Schema**:
```sql
CREATE TABLE feature_views (
    id UUID PRIMARY KEY,
    epic_id UUID REFERENCES epic_views(id),
    title TEXT NOT NULL,
    description TEXT,
    status TEXT CHECK (status IN ('backlog', 'refinement', 'ready', 'in-progress', 'code-review', 'testing', 'done')),
    priority INT CHECK (priority BETWEEN 1 AND 100),
    effort_estimate INT,  -- Story points or hours
    business_value INT,
    target_sprint TEXT,
    created_at TIMESTAMPTZ DEFAULT NOW(),
    updated_at TIMESTAMPTZ DEFAULT NOW()
);
```

**Relationships**:
- Part of → Epic View
- Contains → User Story View
- Visualized in → Wireframe View, Flow View
- Exposes → API Contract View
- Implements → Code View
- Tested by → Test View

**Cascading**: When feature changes → all derived items (code, tests, API) are flagged

---

### 6. USER_STORY View

**Purpose**: Specific user interactions with acceptance criteria

**Value**: Testable specifications, clear definition of done

**Atomic Entities**:
- Story atoms (persona + action + benefit)
- Acceptance criteria atoms (Given-When-Then)
- Priority atoms

**Schema**:
```sql
CREATE TABLE user_story_views (
    id UUID PRIMARY KEY,
    feature_id UUID REFERENCES feature_views(id),
    persona_id UUID,
    action TEXT NOT NULL,
    benefit TEXT NOT NULL,
    description TEXT,
    priority INT,
    effort_points INT,
    status TEXT CHECK (status IN ('backlog', 'ready', 'in-progress', 'done')),
    created_at TIMESTAMPTZ DEFAULT NOW()
);

CREATE TABLE acceptance_criteria (
    id UUID PRIMARY KEY,
    story_id UUID REFERENCES user_story_views(id),
    given_context TEXT,  -- Given
    when_action TEXT,    -- When
    then_outcome TEXT,   -- Then
    verification_method TEXT CHECK (verification_method IN ('automated-test', 'manual-test', 'review')),
    status TEXT CHECK (status IN ('pending', 'passed', 'failed')),
    position INT
);
```

**Relationships**:
- Part of → Feature View
- Informed by → Persona View, User Journey View
- Tested by → Test View
- Implemented in → Code View

---

## Category B: User Experience Views (6 views)

### 7. PERSONA View

**Purpose**: User archetypes with goals, behaviors, pain points

**Value**: Ensures user-centered design, prioritizes features for target users

**Schema**:
```sql
CREATE TABLE persona_views (
    id UUID PRIMARY KEY,
    product_id UUID NOT NULL,
    name TEXT NOT NULL,
    tagline TEXT,
    demographics JSONB,  -- {age_range, occupation, tech_skill, location}
    psychographics JSONB,  -- {goals, motivations, pain_points, behaviors, quote}
    usage_patterns JSONB,  -- {frequency, session_duration, devices, peak_times}
    avatar_url TEXT,
    research_basis JSONB,  -- [{type, source, date, participants}]
    created_at TIMESTAMPTZ DEFAULT NOW()
);
```

**Relationships**:
- Informs → User Story View, Feature View
- Measured in → Analytics View, Behavior View
- Validated by → User Journey View

---

### 8. USER_JOURNEY View

**Purpose**: End-to-end user experience across touchpoints

**Value**: Identifies friction points, optimization opportunities

**Schema**:
```sql
CREATE TABLE user_journey_views (
    id UUID PRIMARY KEY,
    persona_id UUID REFERENCES persona_views(id),
    name TEXT NOT NULL,
    scenario TEXT,
    overall_sentiment TEXT CHECK (overall_sentiment IN ('negative', 'neutral', 'positive')),
    created_at TIMESTAMPTZ DEFAULT NOW()
);

CREATE TABLE journey_stages (
    id UUID PRIMARY KEY,
    journey_id UUID REFERENCES user_journey_views(id),
    name TEXT NOT NULL,
    description TEXT,
    duration_minutes INT,
    position INT,
    metrics JSONB  -- {conversion_rate, drop_off_rate, avg_time_seconds}
);

CREATE TABLE journey_touchpoints (
    id UUID PRIMARY KEY,
    stage_id UUID REFERENCES journey_stages(id),
    channel TEXT CHECK (channel IN ('web', 'mobile', 'email', 'support', 'in-person')),
    action TEXT NOT NULL,
    emotions JSONB,      -- ['frustrated', 'confused', 'delighted']
    pain_points JSONB,
    opportunities JSONB,
    position INT
);
```

**Relationships**:
- Based on → Persona View
- Contains → User Flow View
- Measured by → Analytics View
- Improved by → Feature View

---

### 9. USER_FLOW View

**Purpose**: Specific interaction sequences with decision branches

**Value**: Documents exact interaction patterns, enables optimization

**Schema**:
```sql
CREATE TABLE user_flow_views (
    id UUID PRIMARY KEY,
    feature_id UUID REFERENCES feature_views(id),
    name TEXT NOT NULL,
    entry_point_node_id UUID,
    created_at TIMESTAMPTZ DEFAULT NOW()
);

CREATE TABLE flow_nodes (
    id UUID PRIMARY KEY,
    flow_id UUID REFERENCES user_flow_views(id),
    type TEXT CHECK (type IN ('screen', 'decision', 'action', 'end')),
    label TEXT NOT NULL,
    wireframe_id UUID,
    interactions JSONB,
    position_x FLOAT,
    position_y FLOAT
);

CREATE TABLE flow_edges (
    id UUID PRIMARY KEY,
    flow_id UUID REFERENCES user_flow_views(id),
    from_node_id UUID REFERENCES flow_nodes(id),
    to_node_id UUID REFERENCES flow_nodes(id),
    condition_expr TEXT,
    action_label TEXT,
    probability FLOAT,  -- From analytics
    UNIQUE(from_node_id, to_node_id)
);
```

**Relationships**:
- Part of → User Journey View
- Visualizes → Wireframe View
- Measured by → Analytics View
- Tested in → E2E Test View

---

### 10. WIREFRAME View

**Purpose**: Low-fidelity UI structure and layouts

**Value**: Fast iteration, early feedback before high-fidelity design investment

**Schema**:
```sql
CREATE TABLE wireframe_views (
    id UUID PRIMARY KEY,
    feature_id UUID REFERENCES feature_views(id),
    screen_name TEXT NOT NULL,
    device_type TEXT CHECK (device_type IN ('desktop', 'tablet', 'mobile', 'watch')),
    file_path TEXT NOT NULL,  -- S3/MinIO path
    figma_url TEXT,
    version INT DEFAULT 1,
    status TEXT CHECK (status IN ('draft', 'review', 'approved', 'implemented')),
    created_at TIMESTAMPTZ DEFAULT NOW()
);

CREATE TABLE wireframe_elements (
    id UUID PRIMARY KEY,
    wireframe_id UUID REFERENCES wireframe_views(id),
    element_type TEXT,  -- 'button', 'input', 'card', 'list'
    label TEXT,
    position_x FLOAT,
    position_y FLOAT,
    width FLOAT,
    height FLOAT,
    component_ref UUID,  -- Reference to design system component
    annotations JSONB
);
```

**Relationships**:
- Part of → Feature View, User Flow View
- Evolves into → Mockup View
- Uses → Design System View (components)
- Implemented in → Code View (UI components)

---

### 11. MOCKUP View

**Purpose**: High-fidelity visual designs with branding and polish

**Value**: Pixel-perfect specifications, stakeholder buy-in, brand consistency

**Schema**:
```sql
CREATE TABLE mockup_views (
    id UUID PRIMARY KEY,
    wireframe_id UUID REFERENCES wireframe_views(id),
    screen_name TEXT NOT NULL,
    device_type TEXT,
    file_path TEXT NOT NULL,
    figma_url TEXT,
    design_system_id UUID,
    visual_specs JSONB,  -- {colors, typography, spacing, shadows, assets}
    version INT DEFAULT 1,
    status TEXT CHECK (status IN ('draft', 'review', 'approved', 'implemented')),
    created_at TIMESTAMPTZ DEFAULT NOW()
);
```

**Relationships**:
- Evolves from → Wireframe View
- Uses → Design System View
- Implemented in → Code View
- Tested in → Visual Regression Test View

---

### 12. DESIGN_SYSTEM View

**Purpose**: Reusable component library with design tokens

**Value**: Consistency, velocity, maintenance reduction

**Schema**:
```sql
CREATE TABLE design_system_views (
    id UUID PRIMARY KEY,
    product_id UUID NOT NULL,
    name TEXT NOT NULL,
    version TEXT NOT NULL,  -- Semantic versioning
    created_at TIMESTAMPTZ DEFAULT NOW()
);

CREATE TABLE design_tokens (
    id UUID PRIMARY KEY,
    system_id UUID REFERENCES design_system_views(id),
    category TEXT CHECK (category IN ('color', 'typography', 'spacing', 'radius', 'shadow', 'duration')),
    name TEXT NOT NULL,
    value TEXT NOT NULL,
    semantic_role TEXT,
    description TEXT,
    UNIQUE(system_id, category, name)
);

CREATE TABLE design_components (
    id UUID PRIMARY KEY,
    system_id UUID REFERENCES design_system_views(id),
    name TEXT NOT NULL,
    category TEXT,
    figma_component_id TEXT,
    code_path TEXT,
    documentation TEXT,
    properties JSONB,  -- [{name, type, default, required}]
    variants JSONB,    -- [{name, props}]
    UNIQUE(system_id, name)
);
```

**Relationships**:
- Used by → Mockup View, Code View
- Documented in → Documentation View
- Versioned in → Version History View

---

## Category C: Technical Design Views (6 views)

### 13. ARCHITECTURE View

**Purpose**: System structure, components, and relationships

**Value**: Technical alignment, design review, onboarding

**Schema**:
```sql
CREATE TABLE architecture_views (
    id UUID PRIMARY KEY,
    product_id UUID NOT NULL,
    name TEXT NOT NULL,
    style TEXT CHECK (style IN ('monolith', 'microservices', 'serverless', 'event-driven', 'hybrid')),
    version TEXT,
    created_at TIMESTAMPTZ DEFAULT NOW()
);

CREATE TABLE architecture_components (
    id UUID PRIMARY KEY,
    architecture_id UUID REFERENCES architecture_views(id),
    layer TEXT,  -- 'presentation', 'application', 'domain', 'infrastructure', 'data'
    name TEXT NOT NULL,
    type TEXT,  -- 'service', 'library', 'database', 'queue', 'cache'
    technology TEXT,
    responsibilities JSONB,
    interfaces JSONB,
    deployment_unit TEXT,
    UNIQUE(architecture_id, name)
);

CREATE TABLE component_relationships (
    id UUID PRIMARY KEY,
    from_component_id UUID REFERENCES architecture_components(id),
    to_component_id UUID REFERENCES architecture_components(id),
    relationship_type TEXT CHECK (relationship_type IN ('depends-on', 'calls', 'publishes-to', 'subscribes-to', 'reads-from', 'writes-to')),
    protocol TEXT,  -- 'http', 'grpc', 'graphql', 'event', 'sql'
    description TEXT,
    UNIQUE(from_component_id, to_component_id, relationship_type)
);
```

**Relationships**:
- Implements → Feature View (technical realization)
- Contains → Component Diagram View, Sequence View
- Deployed via → Deployment View
- Documented in → ADR View (decisions)

---

### 14. SEQUENCE View

**Purpose**: Message flow over time (interactions between components)

**Value**: Documents async flows, debugging aid, API design

**Schema**:
```sql
CREATE TABLE sequence_diagram_views (
    id UUID PRIMARY KEY,
    feature_id UUID REFERENCES feature_views(id),
    name TEXT NOT NULL,
    scenario TEXT,
    created_at TIMESTAMPTZ DEFAULT NOW()
);

CREATE TABLE sequence_participants (
    id UUID PRIMARY KEY,
    diagram_id UUID REFERENCES sequence_diagram_views(id),
    name TEXT NOT NULL,
    type TEXT CHECK (type IN ('actor', 'service', 'database', 'external')),
    position INT
);

CREATE TABLE sequence_messages (
    id UUID PRIMARY KEY,
    diagram_id UUID REFERENCES sequence_diagram_views(id),
    from_participant_id UUID REFERENCES sequence_participants(id),
    to_participant_id UUID REFERENCES sequence_participants(id),
    message_type TEXT CHECK (message_type IN ('sync', 'async', 'return')),
    label TEXT NOT NULL,
    protocol TEXT,
    position INT  -- Order in sequence
);
```

**Relationships**:
- Documents → Feature View, API Contract View
- Implemented in → Code View
- Tested in → Integration Test View

---

### 15. STATE_MACHINE View

**Purpose**: Explicit state transitions and guards

**Value**: Prevents invalid states, clear workflow logic, test case generation

**Schema**:
```sql
CREATE TABLE state_machine_views (
    id UUID PRIMARY KEY,
    feature_id UUID REFERENCES feature_views(id),
    name TEXT NOT NULL,
    initial_state TEXT NOT NULL,
    created_at TIMESTAMPTZ DEFAULT NOW()
);

CREATE TABLE sm_states (
    id UUID PRIMARY KEY,
    machine_id UUID REFERENCES state_machine_views(id),
    name TEXT NOT NULL,
    type TEXT CHECK (type IN ('initial', 'normal', 'final')),
    entry_actions JSONB,
    exit_actions JSONB,
    UNIQUE(machine_id, name)
);

CREATE TABLE sm_transitions (
    id UUID PRIMARY KEY,
    machine_id UUID REFERENCES state_machine_views(id),
    from_state_id UUID REFERENCES sm_states(id),
    to_state_id UUID REFERENCES sm_states(id),
    event TEXT NOT NULL,
    guard_expr TEXT,  -- Condition
    actions JSONB,
    UNIQUE(machine_id, from_state_id, event)
);
```

**Relationships**:
- Defines → Feature View workflow
- Implemented in → Code View (XState, state management)
- Tested by → State Coverage Test View

---

### 16. PSEUDOCODE View

**Purpose**: Language-agnostic algorithm descriptions

**Value**: Algorithm review before coding, multi-language implementations

**Schema**:
```sql
CREATE TABLE pseudocode_views (
    id UUID PRIMARY KEY,
    feature_id UUID REFERENCES feature_views(id),
    function_name TEXT NOT NULL,
    algorithm TEXT NOT NULL,  -- Markdown with code blocks
    complexity_analysis TEXT,  -- Big-O notation
    inputs JSONB,
    outputs JSONB,
    edge_cases JSONB,
    created_at TIMESTAMPTZ DEFAULT NOW()
);
```

**Relationships**:
- Specifies → Code View
- Reviewed in → Code Review View
- Tested by → Algorithm Test View

---

### 17. API_CONTRACT View

**Purpose**: OpenAPI/GraphQL interface definitions

**Value**: Parallel frontend/backend development, contract testing

**Schema**:
```sql
CREATE TABLE api_contract_views (
    id UUID PRIMARY KEY,
    feature_id UUID REFERENCES feature_views(id),
    endpoint_path TEXT NOT NULL,
    http_method TEXT CHECK (http_method IN ('GET', 'POST', 'PUT', 'PATCH', 'DELETE')),
    openapi_spec JSONB,  -- Complete OpenAPI definition
    graphql_schema TEXT,
    version TEXT,
    status TEXT CHECK (status IN ('draft', 'review', 'approved', 'implemented')),
    created_at TIMESTAMPTZ DEFAULT NOW()
);
```

**Relationships**:
- Exposes → Feature View
- Implemented by → Code View
- Tested by → Contract Test View
- Documented in → API Documentation View

---

### 18. DATA_MODEL View

**Purpose**: Logical entity-relationship diagrams

**Value**: Database-agnostic design, data integrity documentation

**Schema**:
```sql
CREATE TABLE data_model_views (
    id UUID PRIMARY KEY,
    product_id UUID NOT NULL,
    name TEXT NOT NULL,
    entities JSONB,  -- [{name, attributes, primary_key}]
    relationships JSONB,  -- [{from, to, type, cardinality}]
    mermaid_erd TEXT,  -- ERD in Mermaid syntax
    created_at TIMESTAMPTZ DEFAULT NOW()
);
```

**Relationships**:
- Implements → Feature View (data requirements)
- Realized in → Database View (physical schema)
- Used by → Code View (ORM models)

---

## Category D: Implementation Views (5 views)

### 19. CODE View

**Purpose**: Source code with AST, symbols, dependencies

**Value**: The actual implementation, core to development

**Schema**:
```sql
CREATE TABLE code_views (
    id UUID PRIMARY KEY,
    file_path TEXT NOT NULL,
    language TEXT NOT NULL,
    ast JSONB,  -- Abstract Syntax Tree
    symbols JSONB,  -- [{name, type, signature, line_start, line_end}]
    dependencies JSONB,  -- Import graph
    metrics JSONB,  -- {loc, complexity, coverage}
    git_commit TEXT,
    last_modified TIMESTAMPTZ,
    created_at TIMESTAMPTZ DEFAULT NOW(),
    UNIQUE(file_path, git_commit)
);

CREATE INDEX idx_code_language ON code_views(language);
CREATE INDEX idx_code_git_commit ON code_views(git_commit);
```

**Relationships**:
- Implements → Feature View, API Contract View, Pseudocode View
- Tested by → Test View
- Reviewed in → Code Review View
- Analyzed by → Quality Metrics View

---

### 20. TEST View

**Purpose**: Automated tests (unit, integration, e2e)

**Value**: Verification, regression prevention, documentation

**Schema**:
```sql
CREATE TABLE test_views (
    id UUID PRIMARY KEY,
    file_path TEXT NOT NULL,
    test_type TEXT CHECK (test_type IN ('unit', 'integration', 'e2e', 'performance', 'security')),
    framework TEXT,  -- 'pytest', 'jest', 'cypress'
    tests JSONB,  -- [{name, line_start, line_end, status}]
    coverage_data JSONB,
    last_run TIMESTAMPTZ,
    created_at TIMESTAMPTZ DEFAULT NOW()
);
```

**Relationships**:
- Verifies → Code View, Feature View, API Contract View
- Generates → Coverage Report View
- Tracked in → Test Results View

---

### 21. DATABASE View

**Purpose**: Physical database schema and migrations

**Value**: Data persistence, schema evolution tracking

**Schema**:
```sql
CREATE TABLE database_views (
    id UUID PRIMARY KEY,
    schema_name TEXT NOT NULL,
    tables JSONB,  -- [{name, columns, indexes, constraints}]
    views JSONB,   -- Materialized and regular views
    functions JSONB,
    created_at TIMESTAMPTZ DEFAULT NOW()
);

CREATE TABLE database_migrations (
    id UUID PRIMARY KEY,
    migration_name TEXT NOT NULL,
    migration_file TEXT,
    applied_at TIMESTAMPTZ,
    rollback_file TEXT,
    status TEXT CHECK (status IN ('pending', 'applied', 'failed', 'rolled-back')),
    UNIQUE(migration_name)
);
```

**Relationships**:
- Implements → Data Model View
- Used by → Code View (ORM)
- Versioned in → Migration History View

---

### 22. CONFIGURATION View

**Purpose**: Environment variables, feature flags, app settings

**Value**: Deployment configuration, runtime behavior control

**Schema**:
```sql
CREATE TABLE configuration_views (
    id UUID PRIMARY KEY,
    environment TEXT CHECK (environment IN ('development', 'staging', 'production')),
    config_items JSONB,  -- [{key, value, type, secret}]
    feature_flags JSONB,  -- [{flag_key, enabled, strategy}]
    created_at TIMESTAMPTZ DEFAULT NOW()
);
```

**Relationships**:
- Controls → Code View behavior
- Managed in → Feature Flag View
- Deployed via → Deployment View

---

### 23. INFRASTRUCTURE_AS_CODE View

**Purpose**: Terraform/CloudFormation definitions

**Value**: Reproducible infrastructure, version-controlled deployments

**Schema**:
```sql
CREATE TABLE infrastructure_code_views (
    id UUID PRIMARY KEY,
    file_path TEXT NOT NULL,
    tool TEXT CHECK (tool IN ('terraform', 'cloudformation', 'pulumi', 'cdk')),
    resources JSONB,  -- [{type, name, properties}]
    outputs JSONB,
    created_at TIMESTAMPTZ DEFAULT NOW()
);
```

**Relationships**:
- Provisions → Deployment View
- Versioned in → Version History View
- Tested in → Infrastructure Test View

---

## Category E: Quality/Verification Views (4 views)

### 24. TEST_RESULTS View

**Purpose**: Historical test execution results

**Value**: Flakiness detection, performance trends, quality metrics

**Schema with TimescaleDB**:
```sql
CREATE TABLE test_result_views (
    execution_time TIMESTAMPTZ NOT NULL,
    test_id UUID NOT NULL,
    test_name TEXT NOT NULL,
    status TEXT CHECK (status IN ('passed', 'failed', 'skipped', 'flaky')),
    duration_ms INT,
    error_message TEXT,
    git_commit TEXT,
    environment TEXT,
    PRIMARY KEY (execution_time, test_id)
);

SELECT create_hypertable('test_result_views', 'execution_time');
CREATE INDEX idx_test_results_test ON test_result_views(test_id, execution_time DESC);
```

**Relationships**:
- Executes → Test View
- Analyzed in → Quality Metrics View
- Alerts in → Alert View (flaky tests)

---

### 25. COVERAGE_REPORT View

**Purpose**: Code coverage metrics over time

**Value**: Quality tracking, untested code identification

**Schema**:
```sql
CREATE TABLE coverage_report_views (
    id UUID PRIMARY KEY,
    generated_at TIMESTAMPTZ NOT NULL,
    overall_coverage FLOAT,
    line_coverage FLOAT,
    branch_coverage FLOAT,
    files JSONB,  -- [{file, coverage, uncovered_lines}]
    created_at TIMESTAMPTZ DEFAULT NOW()
);

SELECT create_hypertable('coverage_report_views', 'generated_at');
```

**Relationships**:
- Analyzes → Code View, Test View
- Tracked in → KPI View
- Visualized in → Quality Dashboard View

---

### 26. SECURITY_SCAN View

**Purpose**: Vulnerability scans, security audit results

**Value**: Proactive security, compliance readiness

**Schema**:
```sql
CREATE TABLE security_scan_views (
    id UUID PRIMARY KEY,
    scan_time TIMESTAMPTZ NOT NULL,
    scan_type TEXT CHECK (scan_type IN ('sast', 'dast', 'dependency', 'container', 'infrastructure')),
    tool TEXT,  -- 'bandit', 'snyk', 'trivy'
    vulnerabilities JSONB,  -- [{severity, cve, description, location, remediation}]
    summary JSONB,  -- {critical, high, medium, low counts}
    created_at TIMESTAMPTZ DEFAULT NOW()
);

SELECT create_hypertable('security_scan_views', 'scan_time');
```

**Relationships**:
- Scans → Code View, Dependency View, Infrastructure View
- Creates → Risk View items (high severity vulns)
- Tracked in → Compliance View

---

### 27. QUALITY_METRICS View

**Purpose**: Code quality metrics (complexity, maintainability, duplication)

**Value**: Technical debt tracking, refactoring prioritization

**Schema**:
```sql
CREATE TABLE quality_metrics_views (
    id UUID PRIMARY KEY,
    measured_at TIMESTAMPTZ NOT NULL,
    code_id UUID,
    metrics JSONB,  -- {cyclomatic_complexity, cognitive_complexity, maintainability_index, duplication_percent}
    tool TEXT,  -- 'radon', 'lizard', 'sonarqube'
    created_at TIMESTAMPTZ DEFAULT NOW()
);

SELECT create_hypertable('quality_metrics_views', 'measured_at');
```

**Relationships**:
- Measures → Code View
- Visualized in → Quality Dashboard
- Drives → Refactoring View

---

## Category F: Operations Views (5 views)

### 28. DEPLOYMENT View

**Purpose**: Deployment history, rollback capability, environment status

**Value**: Production visibility, incident response, rollback safety

**Schema**:
```sql
CREATE TABLE deployment_views (
    id UUID PRIMARY KEY,
    environment TEXT NOT NULL,
    version TEXT NOT NULL,  -- Semantic version or git SHA
    deployed_at TIMESTAMPTZ NOT NULL,
    deployed_by UUID,
    deployment_method TEXT,  -- 'manual', 'ci-cd', 'rollback'
    status TEXT CHECK (status IN ('in-progress', 'completed', 'failed', 'rolled-back')),
    artifacts JSONB,  -- [{type, url, checksum}]
    health_checks JSONB,
    created_at TIMESTAMPTZ DEFAULT NOW()
);

SELECT create_hypertable('deployment_views', 'deployed_at');
CREATE INDEX idx_deployment_env ON deployment_views(environment, deployed_at DESC);
```

**Relationships**:
- Deploys → Code View, Configuration View
- Monitored in → Monitoring View
- Documented in → Runbook View

---

### 29. MONITORING View

**Purpose**: Real-time metrics, dashboards, observability

**Value**: System health visibility, performance tracking, issue detection

**Schema with TimescaleDB**:
```sql
CREATE TABLE monitoring_metrics (
    time TIMESTAMPTZ NOT NULL,
    metric_name TEXT NOT NULL,
    metric_value DOUBLE PRECISION NOT NULL,
    dimensions JSONB,  -- {service, endpoint, region, etc.}
    PRIMARY KEY (time, metric_name, dimensions)
);

SELECT create_hypertable('monitoring_metrics', 'time');
CREATE INDEX idx_monitoring_metric ON monitoring_metrics(metric_name, time DESC);

-- Continuous aggregates for dashboards
CREATE MATERIALIZED VIEW metrics_1h
WITH (timescaledb.continuous) AS
SELECT time_bucket('1 hour', time) AS hour,
       metric_name,
       dimensions,
       AVG(metric_value) as avg_value,
       MAX(metric_value) as max_value,
       MIN(metric_value) as min_value
FROM monitoring_metrics
GROUP BY hour, metric_name, dimensions;
```

**Relationships**:
- Monitors → Code View, Deployment View
- Alerts in → Alert View
- Analyzed in → KPI View

---

### 30. LOGS View

**Purpose**: Application logs, structured logging, log analysis

**Value**: Debugging, auditing, troubleshooting

**Schema with TimescaleDB**:
```sql
CREATE TABLE log_views (
    timestamp TIMESTAMPTZ NOT NULL,
    level TEXT CHECK (level IN ('debug', 'info', 'warning', 'error', 'critical')),
    service TEXT,
    message TEXT,
    structured_data JSONB,  -- Additional context
    trace_id TEXT,  -- Distributed tracing
    span_id TEXT,
    PRIMARY KEY (timestamp, service, trace_id)
);

SELECT create_hypertable('log_views', 'timestamp');
CREATE INDEX idx_logs_level ON log_views(level, timestamp DESC) WHERE level IN ('error', 'critical');
CREATE INDEX idx_logs_trace ON log_views(trace_id) WHERE trace_id IS NOT NULL;
```

**Relationships**:
- Generated by → Code View
- Analyzed in → Error View, Incident View
- Searchable via → Log Search (Elasticsearch if needed)

---

### 31. ALERT View

**Purpose**: Threshold-based alerts, on-call notifications

**Value**: Proactive issue detection, SLA compliance

**Schema**:
```sql
CREATE TABLE alert_views (
    id UUID PRIMARY KEY,
    triggered_at TIMESTAMPTZ NOT NULL,
    alert_name TEXT NOT NULL,
    severity TEXT CHECK (severity IN ('info', 'warning', 'critical')),
    condition TEXT,  -- What triggered the alert
    threshold_value DOUBLE PRECISION,
    actual_value DOUBLE PRECISION,
    affected_resources JSONB,
    status TEXT CHECK (status IN ('active', 'acknowledged', 'resolved', 'false-positive')),
    resolved_at TIMESTAMPTZ,
    resolved_by UUID
);

SELECT create_hypertable('alert_views', 'triggered_at');
CREATE INDEX idx_alert_status ON alert_views(status, severity) WHERE status = 'active';
```

**Relationships**:
- Triggered by → Monitoring View, Log View
- Creates → Incident View (critical alerts)
- Notifies → On-Call View

---

### 32. INCIDENT View

**Purpose**: Production incidents with postmortems

**Value**: Learning from failures, preventing recurrence

**Schema**:
```sql
CREATE TABLE incident_views (
    id UUID PRIMARY KEY,
    title TEXT NOT NULL,
    severity TEXT CHECK (severity IN ('sev1', 'sev2', 'sev3', 'sev4')),
    detected_at TIMESTAMPTZ NOT NULL,
    resolved_at TIMESTAMPTZ,
    timeline JSONB,  -- [{time, event, actor}]
    impact JSONB,  -- {users_affected, revenue_loss, duration_minutes}
    root_cause TEXT,
    contributing_factors JSONB,
    action_items JSONB,  -- [{action, owner, due_date, status}]
    postmortem_url TEXT,
    status TEXT CHECK (status IN ('investigating', 'mitigating', 'resolved', 'postmortem-complete'))
);
```

**Relationships**:
- Triggered by → Alert View, Log View
- Documents → Root Cause Analysis
- Creates → Action Items (tasks to prevent recurrence)
- Tracked in → Runbook View (preventive measures)

---

## Category G: Collaboration Views (4 views)

### 33. COMMENT/DISCUSSION View

**Purpose**: Threaded conversations on any atom

**Value**: Context preservation, async collaboration

**Schema**:
```sql
CREATE TABLE comment_views (
    id UUID PRIMARY KEY,
    atom_id UUID NOT NULL,  -- Can comment on any atom
    parent_comment_id UUID REFERENCES comment_views(id),  -- Threading
    author_id UUID NOT NULL,
    content TEXT NOT NULL,
    mentions JSONB,  -- [@user-123, @team-456]
    reactions JSONB,  -- {emoji: count}
    created_at TIMESTAMPTZ DEFAULT NOW(),
    updated_at TIMESTAMPTZ DEFAULT NOW(),
    deleted_at TIMESTAMPTZ
);

CREATE INDEX idx_comment_atom ON comment_views(atom_id, created_at DESC);
CREATE INDEX idx_comment_parent ON comment_views(parent_comment_id);
```

**Relationships**:
- Attached to → Any View (universal)
- Notifies → Notification View
- Searchable in → Search View

---

### 34. CODE_REVIEW View

**Purpose**: Pull request reviews, approval workflows

**Value**: Quality gate, knowledge sharing, mentor ship

**Schema**:
```sql
CREATE TABLE code_review_views (
    id UUID PRIMARY KEY,
    pull_request_url TEXT NOT NULL,
    title TEXT NOT NULL,
    description TEXT,
    author_id UUID,
    reviewers JSONB,  -- [{user_id, status, approved_at}]
    changed_files JSONB,  -- [{file, additions, deletions}]
    comments JSONB,
    status TEXT CHECK (status IN ('open', 'approved', 'changes-requested', 'merged', 'closed')),
    created_at TIMESTAMPTZ DEFAULT NOW(),
    merged_at TIMESTAMPTZ
);
```

**Relationships**:
- Reviews → Code View
- Blocks → Deployment View (unapproved changes)
- Documented in → Decision View (design decisions)

---

### 35. DECISION View (ADR - Architecture Decision Records)

**Purpose**: Significant technical and product decisions with rationale

**Value**: Institutional memory, prevents relitigating decisions

**Schema**:
```sql
CREATE TABLE decision_views (
    id UUID PRIMARY KEY,
    title TEXT NOT NULL,
    status TEXT CHECK (status IN ('proposed', 'accepted', 'rejected', 'deprecated', 'superseded')),
    context TEXT,  -- What led to this decision
    decision TEXT,  -- What was decided
    consequences JSONB,  -- {pros: [], cons: [], risks: []}
    alternatives JSONB,  -- [{alternative, reason_rejected}]
    superseded_by UUID REFERENCES decision_views(id),
    decided_at DATE,
    decided_by JSONB,  -- [{user_id, role}]
    created_at TIMESTAMPTZ DEFAULT NOW()
);
```

**Relationships**:
- Documents → Architecture View, Technical Design
- Referenced in → Code View, Infrastructure View
- Tracked in → Version History

---

### 36. APPROVAL_WORKFLOW View

**Purpose**: Multi-stage approval processes

**Value**: Governance, compliance, stakeholder signoff

**Schema**:
```sql
CREATE TABLE approval_workflow_views (
    id UUID PRIMARY KEY,
    atom_id UUID NOT NULL,  -- What needs approval
    workflow_template TEXT,  -- 'feature-launch', 'security-change', 'architecture-decision'
    stages JSONB,  -- [{stage, approvers, status, approved_at}]
    current_stage INT,
    status TEXT CHECK (status IN ('pending', 'approved', 'rejected', 'cancelled')),
    created_at TIMESTAMPTZ DEFAULT NOW()
);
```

**Relationships**:
- Gates → Feature View, Deployment View
- Notifies → Notification View
- Audited in → Audit Trail View

---

## Category H: Governance/Temporal Views (6 views)

### 37. VERSION_HISTORY View

**Purpose**: Git-style commit history for all views

**Value**: Time-travel, change tracking, audit trail

**Schema**:
```sql
CREATE TABLE version_history_views (
    commit_id UUID PRIMARY KEY,
    atom_id UUID NOT NULL,
    commit_message TEXT,
    author_id UUID,
    committed_at TIMESTAMPTZ NOT NULL,
    parent_commit_id UUID REFERENCES version_history_views(commit_id),
    changes JSONB,  -- Structured diff
    snapshot JSONB  -- Full state at this version
);

SELECT create_hypertable('version_history_views', 'committed_at');
CREATE INDEX idx_version_atom ON version_history_views(atom_id, committed_at DESC);
```

**Relationships**:
- Versions → All Views (universal)
- Powers → Time-Travel View
- Generates → Changelog View

---

### 38. AUDIT_TRAIL View

**Purpose**: Immutable log of all actions for compliance

**Value**: Regulatory compliance, security forensics

**Schema**:
```sql
CREATE TABLE audit_trail_views (
    id BIGSERIAL PRIMARY KEY,
    event_time TIMESTAMPTZ NOT NULL,
    event_type TEXT NOT NULL,  -- 'created', 'updated', 'deleted', 'accessed'
    actor_id UUID,
    atom_id UUID,
    view_type TEXT,
    before_state JSONB,
    after_state JSONB,
    metadata JSONB,  -- {ip_address, user_agent, session_id}
    cryptographic_signature TEXT  -- HMAC for tamper detection
);

SELECT create_hypertable('audit_trail_views', 'event_time');
CREATE INDEX idx_audit_atom ON audit_trail_views(atom_id, event_time DESC);
CREATE INDEX idx_audit_actor ON audit_trail_views(actor_id, event_time DESC);
```

**Relationships**:
- Audits → All Views (universal)
- Required by → Compliance View
- Immutable → Cannot be deleted or modified

---

### 39. TIMELINE View

**Purpose**: Chronological activity stream across all views

**Value**: Project pulse, activity feed, change awareness

**Schema**:
```sql
CREATE TABLE timeline_views (
    id UUID PRIMARY KEY,
    event_time TIMESTAMPTZ NOT NULL,
    event_type TEXT NOT NULL,
    actor_id UUID,
    atom_id UUID,
    view_type TEXT,
    summary TEXT,  -- Human-readable description
    metadata JSONB
);

SELECT create_hypertable('timeline_views', 'event_time');
CREATE INDEX idx_timeline_actor ON timeline_views(actor_id, event_time DESC);
```

**Relationships**:
- Aggregates → All Views
- Displayed in → Activity Feed
- Filtered by → Notification View

---

### 40. DEPENDENCY View

**Purpose**: External dependencies (npm packages, APIs, services)

**Value**: Security vulnerability tracking, license compliance, upgrade planning

**Schema**:
```sql
CREATE TABLE dependency_views (
    id UUID PRIMARY KEY,
    product_id UUID NOT NULL,
    name TEXT NOT NULL,
    version TEXT,
    type TEXT CHECK (type IN ('npm', 'pypi', 'api', 'service', 'database')),
    license TEXT,
    vulnerabilities JSONB,  -- From security scans
    used_by JSONB,  -- Which code files use this
    update_available TEXT,
    created_at TIMESTAMPTZ DEFAULT NOW()
);
```

**Relationships**:
- Used by → Code View
- Scanned by → Security Scan View
- Managed in → Configuration View

---

### 41. RISK View

**Purpose**: Risk register with mitigation plans

**Value**: Proactive risk management, decision support

**Schema**:
```sql
CREATE TABLE risk_views (
    id UUID PRIMARY KEY,
    product_id UUID NOT NULL,
    title TEXT NOT NULL,
    description TEXT,
    category TEXT CHECK (category IN ('technical', 'business', 'operational', 'security', 'compliance')),
    probability TEXT CHECK (probability IN ('low', 'medium', 'high')),
    impact TEXT CHECK (impact IN ('low', 'medium', 'high')),
    risk_score INT GENERATED ALWAYS AS (
        CASE probability
            WHEN 'low' THEN 1 WHEN 'medium' THEN 2 WHEN 'high' THEN 3
        END *
        CASE impact
            WHEN 'low' THEN 1 WHEN 'medium' THEN 2 WHEN 'high' THEN 3
        END
    ) STORED,
    mitigation_plan TEXT,
    contingency_plan TEXT,
    owner_id UUID,
    status TEXT CHECK (status IN ('identified', 'mitigating', 'accepted', 'resolved')),
    created_at TIMESTAMPTZ DEFAULT NOW()
);

CREATE INDEX idx_risk_score ON risk_views(risk_score DESC, status);
```

**Relationships**:
- Identified in → Epic View, Feature View
- Mitigated by → Action Items
- Tracked in → Timeline View

---

### 42. CHANGELOG View

**Purpose**: Release notes, version summaries, migration guides

**Value**: Communication, upgrade planning, user awareness

**Schema**:
```sql
CREATE TABLE changelog_views (
    id UUID PRIMARY KEY,
    version TEXT NOT NULL,
    release_date DATE NOT NULL,
    type TEXT CHECK (type IN ('major', 'minor', 'patch')),
    changes JSONB,  -- {added: [], changed: [], fixed: [], removed: [], security: []}
    breaking_changes JSONB,
    migration_guide TEXT,
    published_at TIMESTAMPTZ,
    UNIQUE(version)
);
```

**Relationships**:
- Generated from → Version History View, Commit History
- Published to → Documentation View
- Linked to → Deployment View

---

## Complete View Integration Map

### Atomic Cascading Across All 32 Views

When atomic requirement changes (e.g., toggle [email-password] → [oauth2]), updates cascade to:

**Immediate Impact** (1-hop):
- FEATURE View: Update title/description
- USER_STORY View: Update acceptance criteria
- API_CONTRACT View: Update request schema
- CODE View: Update implementation
- TEST View: Update test cases
- CONFIGURATION View: Add OAuth config

**Secondary Impact** (2-hops):
- WIREFRAME View: Update login form design
- MOCKUP View: Update visual design
- SEQUENCE View: Update authentication flow
- DATABASE View: Remove password fields
- SECURITY_SCAN View: Run new scan for OAuth vulns
- DEPENDENCY View: Add OAuth library

**Tertiary Impact** (3-hops):
- DEPLOYMENT View: Deploy OAuth-enabled version
- MONITORING View: Track OAuth success rates
- DOCUMENTATION View: Update auth documentation
- CHANGELOG View: Document migration
- AUDIT_TRAIL View: Record breaking change
- RISK View: Flag migration risks

**Total Affected**: Up to 18 of 32 views for major atomic changes

---

## View Priority Tiers

### Tier 1: Essential (MVP - 7 views)
1. FEATURE
2. USER_STORY
3. API_CONTRACT
4. CODE
5. TEST
6. DATABASE
7. DEPLOYMENT

**Cost**: Low, high value
**Timeline**: Weeks 1-4

---

### Tier 2: Recommended (Production - +10 views)
8. EPIC
9. ROADMAP
10. WIREFRAME
11. ARCHITECTURE
12. MONITORING
13. LOGS
14. VERSION_HISTORY
15. DEPENDENCY
16. RISK
17. CHANGELOG

**Cost**: Medium, high value
**Timeline**: Weeks 5-12

---

### Tier 3: Advanced (Mature - +8 views)
18. VISION
19. OKR
20. PERSONA
21. USER_JOURNEY
22. USER_FLOW
23. STATE_MACHINE
24. PSEUDOCODE
25. DATA_MODEL

**Cost**: Medium-high, context-dependent value
**Timeline**: Weeks 13-20

---

### Tier 4: Optional (Enterprise - +7 views)
26. MOCKUP
27. DESIGN_SYSTEM
28. SEQUENCE
29. TEST_RESULTS
30. COVERAGE_REPORT
31. SECURITY_SCAN
32. QUALITY_METRICS

**Cost**: High, specialized value
**Timeline**: Weeks 21+

---

## Storage Strategy

### PostgreSQL Tables
- All view definitions (32 tables for view metadata)
- Relational data (users, teams, products)
- Traceability relationships (atom_relationships)

### Neo4j (when justified)
- Complex dependency graphs
- Graph algorithms (PageRank, community detection)
- Multi-hop traversals (>5 levels)

### TimescaleDB (PostgreSQL extension)
- Time-series data (metrics, logs, test results)
- Continuous aggregates for dashboards
- Retention policies for old data

### S3/MinIO
- File storage (wireframes, mockups, attachments)
- Versioned artifacts
- CDN integration

### Redis
- Cache layer (frequently accessed atoms)
- Pub/Sub (real-time updates)
- Session storage

### Vector Database (Pinecone/Weaviate)
- Semantic search across all views
- Duplicate detection
- Smart recommendations

---

## Total System Statistics

- **Views**: 32 comprehensive perspectives
- **Tables**: 50+ PostgreSQL tables
- **Indexes**: 150+ for performance
- **Relationships**: 100+ cross-view links
- **Storage**: PostgreSQL (primary) + Neo4j (graph) + TimescaleDB (time-series) + S3 (files) + Redis (cache) + Vector DB (semantic)
- **APIs**: 200+ REST endpoints, 1 GraphQL endpoint
- **Events**: 50+ event types via NATS JetStream

---

**End of Complete View Taxonomy**
