85 lines
3.7 KiB
Markdown
85 lines
3.7 KiB
Markdown
# BMAD Methodology Baseline v1.0
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This document establishes the baseline state of the BMAD methodology before implementing self-improvement capabilities.
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## Original BMAD Framework Structure
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### Static Components (Pre-Evolution)
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- **Personas**: Fixed AI agent definitions without learning capabilities
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- **Tasks**: Static instruction sets without optimization
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- **Templates**: Unchanging document formats
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- **Checklists**: Fixed quality control criteria
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- **Workflow**: Linear process without adaptive improvements
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### Original Workflow
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1. Analyst → Project Brief
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2. PM → Product Requirements Document (PRD)
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3. Design Architect → UI/UX Specifications
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4. Architect → System Architecture
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5. PO → Validation and Alignment
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6. SM → Story Generation
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7. Dev → Implementation
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### Limitations Identified
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- **No Learning Mechanism**: Framework couldn't improve from experience
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- **No Version Control**: No way to track methodology evolution
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- **No Feedback Loop**: Successes and failures weren't captured for improvement
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- **Static Instructions**: Personas couldn't adapt based on outcomes
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- **No Rollback**: No way to revert problematic changes
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## Enhanced Framework v1.0 (Self-Improving)
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### New Capabilities Added
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- **Adaptive Learning**: Each persona can analyze and improve its own processes
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- **Milestone-Based Evolution**: Git commits track methodology improvements
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- **Approval Workflow**: User confirmation required for major changes
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- **Effectiveness Metrics**: Systematic measurement of framework performance
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- **Rollback Capability**: Version control allows reverting to previous states
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### Enhanced Components
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- **Self-Improving Personas**: Agents that learn and optimize their instructions
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- **Adaptive Tasks**: Instruction sets that evolve based on effectiveness
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- **Smart Templates**: Documents that improve through usage patterns
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- **Evolving Checklists**: Quality criteria that adapt to new learnings
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- **Optimizing Workflow**: Process that suggests and implements improvements
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### New Workflow with Self-Improvement
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1. **Ideation**: Analyst creates briefs + analyzes research process improvements
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2. **Requirements**: PM develops PRDs + optimizes requirements gathering
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3. **Design**: Design Architect creates specs + refines design processes
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4. **Architecture**: Architect designs systems + improves technical workflows
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5. **Validation**: PO ensures alignment + validates methodology improvements
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6. **Implementation**: SM generates stories + optimizes development processes
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7. **Retrospective**: All agents contribute to methodology evolution analysis
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8. **Evolution**: Apply approved improvements and commit changes
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## Success Criteria for v1.0
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### Functional Requirements Met
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- ✅ Self-improvement infrastructure established
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- ✅ Git-based version control for methodology evolution
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- ✅ Enhanced CLAUDE.md with improvement strategy
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- ✅ Evolution tracking documentation created
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- ✅ Approval workflow defined for major changes
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### Quality Metrics
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- **Completeness**: All core self-improvement features implemented
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- **Usability**: Clear instructions for methodology evolution
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- **Maintainability**: Proper documentation and tracking systems
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- **Flexibility**: Framework can adapt to different project types
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## Next Evolution Targets
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### Phase 2 Goals
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- Implement improvement tracking systems
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- Enhance persona instructions with self-improvement capabilities
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- Integrate automated improvement suggestion mechanisms
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- Create effectiveness measurement frameworks
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### Long-term Vision
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- Fully autonomous methodology optimization
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- Predictive improvement suggestions
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- Cross-project learning and pattern recognition
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- Industry-leading adaptive development framework
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This baseline establishes the foundation for the world's first **self-evolving AI development methodology**. |