182 lines
9.5 KiB
Markdown
182 lines
9.5 KiB
Markdown
# BMAD Memory-Enhanced Session State
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## Current Session Metadata
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**Session ID**: {generate_unique_session_id}
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**Started**: {session_start_timestamp}
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**Last Updated**: {current_timestamp}
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**Active Project**: {project_name}
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**Project Type**: {mvp|feature-addition|maintenance|research}
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**Phase**: {discovery|requirements|architecture|development|refinement}
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**Session Duration**: {calculated_active_duration}
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## Current Context
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**Active Persona**: {current_persona_name}
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**Persona Activation Time**: {persona_start_time}
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**Last Activity**: {last_completed_action}
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**Activity Timestamp**: {last_activity_time}
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**Current Task**: {active_task_name}
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**Task Status**: {in-progress|completed|blocked}
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## Memory Integration Status
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**Memory Provider**: {openmemory-mcp|fallback|unavailable}
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**Memory Queries This Session**: {count_memory_queries}
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**Memory Insights Applied**: {count_applied_insights}
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**New Memories Created**: {count_created_memories}
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**Cross-Project Learning Active**: {true|false}
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## Decision Log (Auto-Enhanced with Memory)
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| Timestamp | Persona | Decision | Rationale | Memory Context | Impact | Status | Confidence |
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|-----------|---------|----------|-----------|----------------|--------|--------|------------|
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| 2024-01-15 14:30 | PM | Chose monorepo architecture | Team familiarity, simplified deployment | Similar success in 3 past projects | Affects all components | Active | High |
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| 2024-01-15 15:45 | Architect | Selected Next.js + FastAPI | SSR requirements, team expertise | Proven pattern from EcommerceApp project | Tech stack locked | Active | High |
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| 2024-01-15 16:20 | Design Architect | Material-UI component library | Design consistency, rapid development | Used successfully in 5 similar projects | UI architecture set | Active | Medium |
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## Cross-Persona Handoffs (Memory-Enhanced)
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### PM → Architect (2024-01-15 15:30)
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**Context Transferred**: PRD completed with 3 epics, emphasis on real-time features
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**Key Requirements**: WebSocket support, mobile-first design, performance < 2s load time
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**Memory Insights Provided**: Similar real-time projects, proven WebSocket patterns
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**Pending Questions**: Database scaling strategy, caching approach
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**Files Modified**: `docs/prd.md`, `docs/epic-1.md`, `docs/epic-2.md`
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**Success Indicators**: Clear requirements understanding, no back-and-forth clarifications
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**Memory Learning**: PM→Architect handoffs most effective with concrete performance requirements
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### Architect → Design Architect (2024-01-15 16:15)
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**Context Transferred**: Technical architecture complete, component structure defined
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**Key Constraints**: React-based, performance budget 2s, mobile-first approach
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**Memory Insights Provided**: Successful component architectures for similar apps
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**Collaboration Points**: Component API design, state management patterns
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**Files Modified**: `docs/architecture.md`, `docs/component-structure.md`
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**Success Indicators**: Design constraints acknowledged, technical feasibility confirmed
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**Memory Learning**: Early collaboration on component APIs prevents later redesign
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## Active Concerns & Blockers (Memory-Enhanced)
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### Current Blockers
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- [ ] **Database Choice Pending** (Priority: High)
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- **Raised By**: Architect (2024-01-15 15:45)
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- **Context**: PostgreSQL vs MongoDB for real-time features
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- **Memory Insights**: Similar projects 80% chose PostgreSQL for consistency
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- **Suggested Resolution**: Technical feasibility consultation with Dev + SM
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- **Timeline Impact**: Blocks development start (planned 2024-01-16)
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### Pending Items
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- [ ] **UI Mockups for Epic 2** (Priority: Medium)
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- **Raised By**: PM (2024-01-15 14:45)
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- **Context**: User dashboard wireframes needed for development estimation
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- **Memory Insights**: Early mockups reduce dev rework by 60% (from memory)
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- **Assigned To**: Design Architect
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- **Dependencies**: Component library selection (completed)
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### Resolved Items
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- [x] **Authentication Strategy Defined** (2024-01-15 16:00)
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- **Resolution**: JWT with refresh tokens, OAuth integration
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- **Resolved By**: Architect collaboration with memory insights
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- **Memory Learning**: OAuth integration patterns for user convenience
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- **Impact**: Unblocked Epic 1 story development
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## Artifact Evolution Tracking
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**Primary Documents**:
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- **docs/prd.md**: v1.0 → v1.3 (PM created → PM refined → Architect input)
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- **docs/architecture.md**: v1.0 → v1.1 (Architect created → Design Arch feedback)
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- **docs/frontend-architecture.md**: v1.0 (Design Architect created)
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- **docs/epic-1.md**: v1.0 (PM created from PRD)
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- **docs/epic-2.md**: v1.0 (PM created from PRD)
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**Secondary Documents**:
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- **docs/project-brief.md**: v1.0 (Analyst created - foundational)
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- **docs/technical-preferences.md**: v1.0 (User input - referenced by Architect)
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## Memory Intelligence Summary
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### Applied Memory Insights This Session
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1. **Monorepo Architecture Decision**: Influenced by 3 similar successful projects in memory
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2. **Next.js Selection**: Pattern from EcommerceApp project (95% user satisfaction)
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3. **Component Library Choice**: Analysis of 5 similar projects favored Material-UI
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4. **Authentication Pattern**: OAuth integration lessons from 4 past implementations
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### Generated Memory Entries This Session
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1. **Decision Memory**: Monorepo choice with team familiarity rationale
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2. **Pattern Memory**: PM→Architect handoff optimization approach
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3. **Implementation Memory**: Authentication strategy with OAuth patterns
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4. **Consultation Insight**: Early Design Architect collaboration value
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### Cross-Project Learning Applied
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- **Real-time Feature Patterns**: From messaging app and dashboard projects
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- **Performance Optimization**: Mobile-first approaches from 3 e-commerce projects
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- **Team Workflow**: Successful persona sequencing from similar team contexts
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- **Risk Mitigation**: Database choice considerations from 6 past projects
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## User Interaction Patterns (Learning)
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### Preferred Working Style
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- **Detail Level**: High technical detail preferred (based on session interactions)
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- **Decision Making**: Collaborative approach with expert consultation requests
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- **Pace**: Methodical with thorough validation (as opposed to rapid iteration)
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- **Communication**: Appreciates cross-references and historical context
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### Effective Interaction Patterns
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- **Consultation Requests**: Uses multi-persona consultations for complex decisions
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- **Context Preference**: Values memory insights and historical patterns
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- **Validation Style**: Requests explicit confirmation before major decisions
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- **Learning Orientation**: Asks follow-up questions about rationale and alternatives
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### Session Productivity Indicators
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- **Persona Switching Efficiency**: 3.2 minutes average context restoration (vs 5.1 baseline)
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- **Decision Quality**: 90% confidence in major decisions (vs 70% without memory)
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- **Context Continuity**: Zero context loss incidents this session
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- **Memory Integration Value**: 85% of memory insights actively applied
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## Workflow Intelligence
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### Current Workflow Pattern
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**Detected Pattern**: Standard New Project MVP Flow
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**Stage**: Architecture → Design Architecture → Development Preparation
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**Progress**: 65% through architecture phase
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**Next Suggested**: Design Architect UI/UX specification completion
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**Confidence**: 88% based on similar project patterns
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### Optimization Opportunities
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1. **Parallel Design Work**: Design Architect could start component design while architecture finalizes
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2. **Early Dev Consultation**: Include Dev in database decision for implementation reality check
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3. **User Testing Prep**: Consider early user testing strategy for Epic 1 features
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### Risk Indicators
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- **Timeline Pressure**: No current indicators (healthy progress pace)
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- **Scope Creep**: Low risk (clear MVP boundaries maintained)
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- **Technical Risk**: Medium (database choice impact on real-time features)
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- **Resource Risk**: Low (all personas engaged and productive)
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## Next Session Preparation
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### Likely Next Actions
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1. **Database Decision Resolution** (90% probability)
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- **Recommended Approach**: Technical feasibility consultation
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- **Participants**: Architect + Dev + SM
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- **Memory Context**: Database choice patterns for real-time apps
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2. **Frontend Component Architecture** (75% probability)
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- **Recommended Approach**: Design Architect detailed component specification
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- **Dependencies**: Material-UI library integration patterns
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- **Memory Context**: Successful component architectures from similar projects
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### Context Preservation for Next Session
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**Critical Context to Maintain**:
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- Database decision rationale and options analysis
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- Real-time feature requirements and constraints
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- Team working style preferences and effective patterns
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- Cross-persona collaboration insights and optimization opportunities
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**Memory Queries to Prepare**:
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- Database scaling patterns for real-time applications
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- Component architecture best practices for Material-UI + Next.js
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- Development estimation accuracy for similar scope projects
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- User testing strategies for MVP feature validation
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## Session Quality Metrics
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**Context Continuity Score**: 95% (excellent persona handoffs)
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**Memory Integration Score**: 85% (high value from historical insights)
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**Decision Quality Score**: 90% (confident, well-supported decisions)
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**Workflow Efficiency Score**: 88% (smooth progression with minimal backtracking)
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**User Satisfaction Indicators**: High engagement, positive feedback on insights
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**Learning Rate**: 12 new memory entries created, 8 patterns refined
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---
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**Last Auto-Update**: {current_timestamp}
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**Next Scheduled Update**: On next major decision or persona switch
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**Memory Sync Status**: ✅ Synchronized with OpenMemory MCP |