docs/planning/BACKLOG.txt

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WIDGETBOARD ENTERPRISE PLATFORM - FEATURE BACKLOG
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Product Backlog (Future Phases)
Created: 2025-11-16 18:22 UTC
Release Manager: Claude Code Agent (Autonomous)
Authority: System Director (Claus)

IMPORTANT: Nothing in this backlog belongs in Phase 1 (scope discipline).
Phase 1 = Dashboard Shell + Registry 2.0 + Component System only.
All items below are Phase 2+ planning.

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BACKLOG ITEMS (PRIORITY ORDER)
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BACKLOG-01: DeepSeek Integration Hub
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CATEGORY: Integration Platform
SOURCE: deepseek-integration-hub project
PHASE: Phase 2+ (after Phase 1 complete)
PRIORITY: High (strategic - AI orchestration)

DESCRIPTION:
  Universal MCP-like middleware for DeepSeek and other AI service integrations.
  Plugin-based system that provides unified API across multiple AI backends.

CURRENT STATE:
  - Project exists: C:\Users\claus\Projects\deepseek-integration-hub
  - 3-layer architecture: Types, Registry, Hub
  - DeepSeek CLI integration complete (chat, code, analyze actions)
  - MIT licensed

ARCHITECTURE OVERVIEW:
  Application Layer
      ↓
  Integration Hub (Unified API)
      ↓
  ┌────┬─────┬─────────┐
  ↓    ↓     ↓         ↓
DeepSeek Dify FastGPT ...

KEY FEATURES:
  ✓ Plugin interface for new integrations
  ✓ Plugin registry management
  ✓ Action-based execution (each integration defines actions)
  ✓ JSON schema for action parameters
  ✓ Initialize/destroy lifecycle

ROADMAP FROM PROJECT:
  - [ ] Event system (progress tracking)
  - [ ] Workflow orchestration
  - [ ] Multi-agent coordination
  - [ ] REST API wrapper
  - [ ] CLI for hub management

WIDGET POTENTIAL:
  - "AI Orchestrator Widget" - Unified interface for all AI services
  - "DeepSeek Chat Widget" - Direct integration
  - "Code Generator Widget" - AI-powered code generation
  - "Analysis Widget" - AI analysis of documents/code

INTEGRATION APPROACH:
  1. Extract Hub as shared package (@widget-tdc/deepseek-hub)
  2. Create AI Orchestrator widget that uses Hub
  3. Allow widgets to call Hub actions
  4. Enable widget-to-AI workflows

ESTIMATED EFFORT:
  - Package extraction: 1-2 days
  - Widget integration: 3-5 days
  - Testing/validation: 2-3 days
  - Total: ~1 week for Phase 2

NOTES:
  - Could power intelligent widget suggestions
  - Could enable AI-assisted configuration
  - Strategic for enterprise AI integration trend
  - Positions WidgetBoard as AI-native platform

---

BACKLOG-02: Cyberstreams Security Intelligence Modules
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CATEGORY: Security Widgets
SOURCE: https://github.com/Clauskraft/cyberstreams-v2 project
PHASE: Phase 3-4 (advanced widgets)
PRIORITY: High (security + compliance)

DESCRIPTION:
  Extract modular components from Cyberstreams V2 (cybersecurity intelligence
  platform) into specialized WidgetBoard widgets. Enables security monitoring
  within dashboard ecosystem.

CURRENT STATE:
  - Project: Open-source cybersecurity intelligence platform
  - Production-ready with Railway deployment
  - Tech stack: Fastify (API), OpenSearch (indexing), MinIO (storage)
  - Comprehensive audit tooling included
  - Legal/compliance framework built-in

EXTRACTABLE MODULES FOR WIDGETS:

1. Feed Ingestion Engine Widget
   Purpose: Monitor RSS feeds for threat intelligence
   Features:
     - Multiple feed sources
     - Real-time updates
     - Feed normalization
   Applicable: Phase 3

2. Search Interface Widget
   Purpose: Real-time threat search and filtering
   Features:
     - Query building interface
     - Multi-source search
     - Result filtering and sorting
   Applicable: Phase 3

3. Activity Stream Monitor Widget
   Purpose: Live threat activity tracking (Server-Sent Events)
   Features:
     - Real-time stream display
     - Event filtering
     - Alert notifications
   Applicable: Phase 3

4. Health Dashboard Widget
   Purpose: System status and dependency monitoring
   Features:
     - Service health indicators
     - Dependency tracking
     - Performance metrics
   Applicable: Phase 2-3

5. Audit Logger Widget
   Purpose: Immutable event tracking and compliance reporting
   Features:
     - Event logging interface
     - Compliance report generation
     - Audit trail visualization
   Applicable: Phase 4 (compliance focus)

ARCHITECTURAL PATTERNS FROM CYBERSTREAMS:
  - Data classification system (public, internal, sensitive, PII)
  - Mandatory sanitization protocols
  - Compliance friction (example: .onion sources disabled by default)
  - Railway deployment ready
  - MinIO storage integration

SECURITY CONSIDERATIONS:
  - Cyberstreams philosophy: Build intentional friction into sensitive capabilities
  - Legal approvals required for restricted sources
  - DPIA (Data Protection Impact Assessment) documentation
  - Audit trail is compliance-ready

WIDGET POTENTIAL:
  - "Threat Monitor Widget" - Real-time security feed
  - "Compliance Dashboard Widget" - Audit trail and reporting
  - "Security Feed Widget" - RSS threat intelligence
  - "Activity Stream Widget" - Live security events

INTEGRATION CHALLENGES:
  - OpenSearch expertise needed (complex indexing)
  - MinIO storage integration
  - Security audit required before ship
  - Compliance validation (GDPR implications)
  - Dark web monitoring (requires legal approval)

ESTIMATED EFFORT:
  Phase 3: 2-3 weeks for basic modules (Feed, Search, Activity)
  Phase 4: 1-2 weeks for advanced (Audit Logger, Compliance)

NOTES:
  - Positions WidgetBoard in enterprise security space
  - Compliance-first approach differentiates from competitors
  - Legal friction is feature, not bug
  - Consider partnerships with security teams

---

BACKLOG-03: AI-Powered Widget Suggestions
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CATEGORY: Smart Features
SOURCE: DeepSeek Integration Hub + Phase 1.A Registry
PHASE: Phase 2+ (after AI hub integration)
PRIORITY: Medium

DESCRIPTION:
  Use DeepSeek integration to provide intelligent widget suggestions based on
  user's dashboard state, recent activity, and usage patterns.

FEATURES:
  - Analyze current widgets and layouts
  - Suggest complementary widgets
  - AI-powered configuration help
  - Natural language commands ("show me security alerts")

DEPENDENCIES:
  - DeepSeek Integration Hub (BACKLOG-01)
  - Widget Registry 2.0 (✅ Phase 1.A complete)
  - User activity logging

ESTIMATED EFFORT: 3-5 days (Phase 2-3)

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BACKLOG-04: Dark Mode Expansion
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CATEGORY: UX Enhancement
SOURCE: Phase 1.C Design System
PHASE: Phase 2+
PRIORITY: Medium

DESCRIPTION:
  Expand dark mode support beyond basic color variants to include:
  - Dark mode-specific optimizations
  - Eye-comfort features (reduced blue light option)
  - Time-based automatic switching
  - Per-widget dark mode preferences

DEPENDENCIES:
  - Phase 1.C Component Design System (includes dark tokens)

ESTIMATED EFFORT: 2-3 days (Phase 2)

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BACKLOG-05: Multi-Workspace Support
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CATEGORY: Advanced Features
SOURCE: Phase 1.B Dashboard Shell
PHASE: Phase 2+
PRIORITY: Medium

DESCRIPTION:
  Enable users to create and switch between multiple workspaces with:
  - Separate widget layouts per workspace
  - Workspace-specific permissions
  - Cross-workspace data sharing (opt-in)
  - Workspace templates for different roles

DEPENDENCIES:
  - Phase 1.B Dashboard Shell (multi-monitor support)
  - Widget Registry 2.0 (persistence)

ESTIMATED EFFORT: 1 week (Phase 2-3)

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BACKLOG-06: Widget Marketplace
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CATEGORY: Ecosystem
SOURCE: WidgetBoard Architecture
PHASE: Phase 3+
PRIORITY: Medium

DESCRIPTION:
  Community-driven widget marketplace where:
  - Developers submit custom widgets
  - Users browse and install widgets
  - Rating and review system
  - Monetization options (free, paid, subscription)

DEPENDENCIES:
  - Widget Registry 2.0 (discovery + versioning)
  - Security audit framework
  - Developer documentation

ESTIMATED EFFORT: 2-3 weeks (Phase 3)

---

BACKLOG-07: Advanced Performance Profiling Widget
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CATEGORY: Developer Tools
SOURCE: Phase 1.A Registry metrics tracking
PHASE: Phase 2+
PRIORITY: Low

DESCRIPTION:
  Developer-focused widget that shows:
  - Real-time widget performance metrics
  - Memory usage per widget
  - Render time analytics
  - Performance trends over time
  - Bottleneck identification

DEPENDENCIES:
  - Widget Registry 2.0 metrics system (✅ Phase 1.A)

ESTIMATED EFFORT: 3-5 days (Phase 2)

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BACKLOG-08: Keyboard Shortcuts Manager Widget
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CATEGORY: Productivity
SOURCE: Phase 1.B UX enhancements
PHASE: Phase 2+
PRIORITY: Low

DESCRIPTION:
  Widget that allows users to:
  - View all available keyboard shortcuts
  - Customize shortcuts per widget
  - Export/import shortcut profiles
  - Search shortcuts
  - Create macros (multi-step shortcuts)

DEPENDENCIES:
  - Phase 1.B keyboard navigation system

ESTIMATED EFFORT: 2-3 days (Phase 2-3)

---

BACKLOG-09: API Gateway for Widget Communication
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CATEGORY: Architecture
SOURCE: Widget Registry 2.0 + MCP Integration
PHASE: Phase 3+
PRIORITY: Medium

DESCRIPTION:
  Unified API layer that allows:
  - Widget-to-widget communication
  - Widget-to-backend communication
  - Real-time pub/sub between widgets
  - Request/response patterns
  - Error handling and retry logic

DEPENDENCIES:
  - Widget Registry 2.0 (communication foundation)
  - Phase 1.B collaboration features (real-time updates)

ESTIMATED EFFORT: 1-2 weeks (Phase 3)

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BACKLOG-10: Analytics and Usage Tracking
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CATEGORY: Business Intelligence
SOURCE: Phase 1.A Registry + Audit requirements
PHASE: Phase 2+
PRIORITY: Medium

DESCRIPTION:
  Privacy-first analytics system tracking:
  - Widget usage patterns
  - User engagement metrics
  - Feature adoption rates
  - Performance insights
  - Compliance with GDPR (user consent, data minimization)

NOTES:
  - All analytics must be EU-only (data residency)
  - User opt-in (GDPR requirement)
  - Anonymized by default
  - Auditable (who sees what)

ESTIMATED EFFORT: 1 week (Phase 2-3)

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BACKLOG MANAGEMENT
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INTAKE PROCESS:
  1. New idea arrives
  2. Release Manager logs in BACKLOG.txt
  3. Classified: Category, Phase, Priority
  4. Dependencies identified
  5. Rough estimate provided
  6. NOT added to Phase 1 (scope discipline)

PHASE PLANNING PROCESS:
  1. At end of Phase N, review backlog for Phase N+1
  2. Select items that fit timeline
  3. Estimate detailed effort
  4. Get System Director approval
  5. Move to Phase N+1 specification

PRIORITY SYSTEM:
  HIGH: Strategic importance, unlocks other features
  MEDIUM: Good to have, enhances product
  LOW: Nice to have, can defer

SCOPE DISCIPLINE:
  - Nothing in backlog affects Phase 1
  - Phase 1 = Dashboard Shell + Registry 2.0 + Component System (ONLY)
  - Backlog items visible but not implemented
  - Clear boundary between "current" and "future"

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BACKLOG-11: 🚀 10 EARTH-ROCKING INPUTS - WidgetTDC System Architecture Review
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CATEGORY: Strategic Architecture
SOURCE: System architect comprehensive review
PHASE: Phase 1.C-2 boundary (Dec 16-31, 2025 planning phase)
PRIORITY: CRITICAL (foundation for scale and production readiness)

DESCRIPTION:
  Comprehensive architecture review addressing 10 critical system insights:
  MCP foundation strategy, multi-service agent patterns, database scaling,
  prompt evolution safeguards, authentication/multi-tenancy, vector search
  optimization, type safety, WebSocket reliability, testing/observability,
  and UI state synchronization.

CRITICAL INSIGHTS:

1. ⚙️ MCP as Architectural Foundation
   - Standardized inter-component messaging layer
   - Future-proof widget/service decoupling
   - Creates competitive moat through documented API specs
   - Action: Formalize MCP contracts as official API specifications

2. 🧠 Multi-Service AI Agent Architecture
   - 5 specialized services need unified orchestration layer
   - Risk: Overlapping concerns and duplicated memory management
   - Solution: AI Agent Factory + cross-service message broker
   - Ownership: Define clear memory persistence responsibility

3. 💾 SQLite Bottleneck (CRITICAL)
   - Current: 11 SQLite tables insufficient for production scale
   - Issue: Vector embeddings (10M+) + concurrent writes
   - Solution: Dual-write pattern (SQLite dev → PostgreSQL + pgvector prod)
   - Timeline: Implement migration tooling before data explosion
   - Impact: Blocks production deployment if not addressed

4. 🔄 Evolution & KPI Monitor - Automatic Prompt Refinement
   - Strength: Self-evolving agents (rare capability)
   - Risk: Prompt drift without guardrails = quality degradation
   - Mitigation: Add Quality Gates (KPI thresholds, A/B testing, rollback)

5. 🔐 Authentication & Multi-Tenancy (MISSING FOUNDATION)
   - Current: No visible auth layer or tenant isolation
   - Critical Gap: Have memory/RAG/KPI data but no security boundaries
   - Must-Have: JWT/OAuth2 + row-level security + audit logging
   - Blocks: Production deployment, enterprise contracts

6. 📊 SRAG Architecture - Vector Search Latency Trap
   - Current: NL → SQL → semantic search = N+1 latency
   - Optimization: Cached query plans + query cost estimator + approximate NN
   - Expected improvement: 3-5x response time reduction

7. 🎯 Frontend-Backend Contract - Type Safety Breakthrough
   - Strength: Shared TypeScript + MCP interfaces
   - Enhancement: Add Zod/io-ts runtime validation
   - Add: OpenAPI/GraphQL layer for external consumers
   - Add: Version MCP with backward compatibility tests

8. ⚡ WebSocket Architecture - Real-time Reliability
   - Current: WebSocket for widget-service communication
   - Gaps: Message ordering, reconnection logic, backpressure?
   - Solution: Message queue (Redis/RabbitMQ) + circuit breakers + replay

9. 🧪 Testing & Observability (BLIND SPOT)
   - Current: 15+ widgets + 5 services but missing end-to-end coverage
   - Add: E2E tests per AI workflow
   - Add: Performance benchmarks
   - Add: Distributed tracing (OpenTelemetry)
   - Add: Agent decision audit trail (compliance + debugging)

10. 🎭 UI State Management + AI State Sync
    - Risk: Widget state diverges from AI Agent state during long operations
    - Solution: Optimistic Updates + Rollback Pattern
    - Add: Conflict resolution for concurrent user + AI actions

DEPENDENCIES:
  - Phase 1.B complete (Dec 15)
  - Phase 1.C component system (Dec 20)
  - Phase 1 quality gate passed (Dec 31)

CRITICAL PATH ITEMS (MUST DO):
  🔴 CRITICAL:
     - Database migration plan (PostgreSQL + pgvector)
     - Multi-tenancy + authentication integration
     - Production readiness audit

  🟠 HIGH:
     - Message queue + circuit breakers
     - End-to-end test suite + observability
     - Query optimization for SRAG

  🟡 MEDIUM:
     - Prompt evolution guardrails
     - WebSocket reliability enhancements
     - UI state synchronization patterns

ESTIMATED EFFORT:
  Phase 1.C planning: 2-3 days (Dec 25-31)
  Phase 2 execution: 3-4 weeks (concurrent with Phase 2.A/B/C)
  Impact: Unblocks production deployment + enterprise scaling

NOTES:
  - This is NOT Phase 1 work (scope discipline)
  - This IS foundation for Phase 2+ success
  - Database migration must start before data explosion
  - Auth/multi-tenancy prerequisite for production launch
  - Observability critical for multi-service debugging

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BACKLOG SUMMARY
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Total Backlog Items: 11
CRITICAL Priority: 1 (System Architecture Review)
High Priority: 2 (DeepSeek Hub, Security Intelligence)
Medium Priority: 7 (Dark Mode, Multi-workspace, Marketplace, etc.)
Low Priority: 1 (Performance Profiling, Shortcuts Manager)

Phase 1 Impact: NONE (scope discipline maintained ✅)
Phase 1.C Planning: Item 11 (architecture planning Dec 25-31)
Phase 2 Execution: Items 1, 3, 4, 5, 7, 10, 11 (database + auth + observability)
Phase 3 Candidates: Items 2, 5, 6, 8, 9
Phase 4 Candidates: Items 2, 6, 9

Estimated Total Backlog Effort: 8-10 weeks (across Phase 1.C-4)

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END OF BACKLOG
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Purpose: Track future work while maintaining Phase 1 scope discipline
Status: Active (items added as ideas surface)
Last Updated: 2025-11-16 18:22 UTC
Next Review: Phase 1 completion (Dec 31, 2025) for Phase 2 planning