Milestone 1: Initialize Self-Improving BMAD Framework
- Transform static BMAD into self-evolving methodology - Add enhanced CLAUDE.md with self-improvement strategy - Create methodology evolution tracking infrastructure - Establish git-based version control for methodology changes - Implement approval workflow for major improvements - Add baseline documentation and improvement templates 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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# Node modules
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node_modules/
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# IDE and Editor files
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.idea/
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.vscode/
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*.swp
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*.swo
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*~
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# Logs
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logs
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*.log
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npm-debug.log*
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# Build output
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dist/
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build/
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# System files
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# OS generated files
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.DS_Store
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.DS_Store?
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._*
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.Spotlight-V100
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.Trashes
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ehthumbs.db
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Thumbs.db
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# Temporary files
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*.tmp
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*.temp
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*.log
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# Node.js (if needed for build scripts)
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node_modules/
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npm-debug.log*
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yarn-debug.log*
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yarn-error.log*
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# Python (if needed for automation)
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# Environment variables
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.env
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.env.local
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.env.development.local
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.env.test.local
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.env.production.local
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CLAUDE.md
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# Project-specific
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/docs/methodology-evolution/private-notes.md
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/docs/temp/
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/build/
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# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Repository Overview
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This is the **Self-Evolving BMAD (Breakthrough Method of Agile AI-driven Development) Framework** - an adaptive AI-orchestrated development methodology that continuously improves itself through project experience. The system enables rapid project planning, architecture design, and implementation while learning and optimizing its own processes.
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## Self-Improvement Strategy
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### Core Philosophy
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- **Continuous Evolution**: The methodology improves with each project milestone
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- **Milestone-Based Learning**: Git commits mark methodology evolution checkpoints
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- **User-Approved Changes**: Major methodology changes require explicit approval
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- **Rollback Capability**: Version control allows reverting to previous methodology states
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### Improvement Triggers
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1. **Post-Milestone Retrospectives**: Automatic analysis after each phase completion
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2. **Pattern Recognition**: Identification of successful vs. problematic workflows
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3. **User Feedback**: Systematic incorporation of user insights
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4. **Effectiveness Metrics**: Measurement of velocity, quality, and satisfaction
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## Architecture and Structure
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### Core Components
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1. **Personas** (`bmad-agent/personas/`) - Self-improving AI agent definitions:
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- **Analyst (Mary)** - Research, brainstorming, project briefs + methodology analysis
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- **PM (John)** - Product requirements documents (PRDs) + process optimization
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- **Architect (Fred)** - System architecture + methodology architecture improvements
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- **Design Architect (Jane)** - UI/UX specs + workflow design improvements
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- **PO (Sarah)** - Validates cross-artifact coherence + methodology validation
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- **Frontend Dev (Ellyn)** - NextJS/React/TypeScript + development process improvements
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- **Full Stack Dev (James)** - General development + implementation optimization
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- **Platform Engineer (Alex)** - Infrastructure + methodology infrastructure
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- **Scrum Master (Bob)** - Story generation + process improvement facilitation
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2. **Tasks** (`bmad-agent/tasks/`) - Self-optimizing executable instruction sets
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3. **Templates** (`bmad-agent/templates/`) - Adaptive document templates that improve with use
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4. **Checklists** (`bmad-agent/checklists/`) - Evolving quality control and validation criteria
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5. **Evolution Tracking** (`docs/methodology-evolution/`) - History and metrics of improvements
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### Key Design Patterns
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- **Adaptive Agent Architecture**: Each persona learns and improves its own capabilities
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- **Self-Optimizing Workflows**: Processes automatically suggest improvements based on outcomes
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- **Version-Controlled Methodology**: Git tracks methodology evolution with rollback capability
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- **Approval-Gated Evolution**: Major changes require user confirmation before implementation
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- **Metric-Driven Improvement**: Effectiveness measurements guide optimization decisions
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## Working with Self-Improving BMAD Agents
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### Milestone-Based Git Workflow
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Each major phase completion triggers:
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1. **Retrospective Analysis**: What worked well? What needs improvement?
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2. **Improvement Identification**: Specific changes to methodology/personas/tasks
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3. **Approval Process**: Present changes to user for confirmation
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4. **Implementation**: Apply approved improvements
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5. **Git Commit**: Version control milestone with descriptive commit message
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### Commands for Self-Improvement
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- `git log --oneline --grep="Milestone"` - View methodology evolution history
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- `git checkout <milestone-hash>` - Rollback to previous methodology version
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- `git diff HEAD~1 bmad-agent/` - Compare methodology changes between versions
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### Configuration Files
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- `ide-bmad-orchestrator.cfg.md` - Self-updating agent configurations
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- `web-bmad-orchestrator-agent.cfg.md` - Adaptive web platform configurations
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- `docs/methodology-evolution/improvement-log.md` - Track all methodology changes
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### Enhanced Template Syntax
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Templates now include self-improvement capabilities:
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- `{{placeholder}}` - Variable substitution
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- `[[LLM: instructions]]` - Hidden AI guidance that can be optimized
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- `<<REPEAT>>...<<END-REPEAT>>` - Iterative sections with improvement tracking
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- `^^CONDITION^^...^^END-CONDITION^^` - Conditional content based on effectiveness metrics
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- `@{example}...@{end}` - Reference examples that update based on successful patterns
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- `[[IMPROVE: suggestion]]` - Methodology improvement suggestions
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### Self-Evolving Workflow
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1. **Ideation**: Analyst creates project briefs + identifies research process improvements
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2. **Requirements**: PM transforms briefs into PRDs + optimizes requirements gathering
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3. **Design**: Design Architect creates UI/UX specs + refines design processes
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4. **Architecture**: Architect designs system structure + 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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## Development Protocol
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### Milestone Commits
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Each significant phase generates a commit with format: `"Milestone X: [Phase Name] - [Key Improvements]"`
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### Improvement Process
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1. **Identify**: What could work better?
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2. **Analyze**: Why didn't it work optimally?
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3. **Propose**: Specific improvements to methodology
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4. **Approve**: Get user confirmation for major changes
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5. **Implement**: Apply improvements to personas/tasks/templates
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6. **Track**: Document changes in evolution log
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7. **Commit**: Version control the improvements
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### Rollback Procedure
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If methodology changes prove problematic:
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1. `git log --oneline --grep="Milestone"` - Find last good milestone
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2. `git checkout <hash> -- bmad-agent/` - Restore methodology files
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3. `git commit -m "Rollback: Restore methodology to Milestone X"`
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## Effectiveness Metrics
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- **Velocity**: Time from idea to working implementation
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- **Quality**: Reduction in bugs, rework, and user complaints
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- **Satisfaction**: User feedback on methodology effectiveness
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- **Learning Rate**: Speed of methodology improvement over time
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## Development Notes
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- **Always ask for approval** before making major methodology changes
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- **Document all improvements** in the evolution log
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- **Commit at milestones** to maintain version control checkpoints
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- **Measure effectiveness** to guide optimization decisions
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- **Embrace experimentation** while maintaining rollback capability
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This framework represents the first **self-evolving AI development methodology**, continuously optimizing itself through real-world application and user feedback.
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# 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**.
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# BMAD Methodology Evolution Log
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This document tracks all improvements, changes, and evolution of the BMAD methodology framework.
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## Version History
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### v1.0 - Initial Self-Improving Framework (Milestone 1)
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**Date**: Initial Implementation
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**Commit**: TBD
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#### Changes Made:
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- Transformed static BMAD framework into self-improving system
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- Added milestone-based git workflow for methodology evolution
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- Enhanced CLAUDE.md with self-improvement strategy
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- Created evolution tracking infrastructure
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#### Key Improvements:
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- **Continuous Evolution**: Methodology now improves with each project milestone
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- **Version Control**: Git tracks methodology changes with rollback capability
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- **Approval Process**: Major changes require user confirmation before implementation
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- **Effectiveness Metrics**: Systematic measurement of methodology performance
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#### Impact Metrics:
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- Baseline established for future comparison
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- Framework prepared for adaptive learning
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---
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## Improvement Templates
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### Post-Milestone Retrospective Template
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```markdown
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## Milestone X Retrospective - [Phase Name]
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### What Worked Well:
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- [Successful patterns and processes]
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### What Needs Improvement:
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- [Identified problems and inefficiencies]
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### Proposed Changes:
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- [Specific methodology improvements]
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### User Approval Status:
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- [ ] Approved
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- [ ] Rejected
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- [ ] Needs modification
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### Implementation Notes:
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- [How changes were applied]
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### Effectiveness Metrics:
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- Velocity: [measurement]
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- Quality: [measurement]
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- Satisfaction: [rating]
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```
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### Change Request Template
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```markdown
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## Change Request: [Title]
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### Problem Statement:
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[What issue needs addressing]
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### Proposed Solution:
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[Specific changes to methodology]
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### Expected Benefits:
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[How this will improve the framework]
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### Risk Assessment:
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[Potential downsides or complications]
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### Implementation Plan:
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[How to apply the changes]
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### Approval Required:
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- [ ] User approval needed for major change
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- [ ] Minor optimization - auto-approve
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```
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## Metrics Tracking
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### Baseline Metrics (v1.0)
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- **Setup Time**: Time to initialize self-improving framework
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- **Documentation Quality**: Comprehensive CLAUDE.md with improvement strategy
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- **User Satisfaction**: Framework meets requirements for self-evolution
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### Future Metrics to Track
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- **Improvement Velocity**: Rate of methodology enhancements over time
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- **Change Success Rate**: Percentage of improvements that provide value
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- **Rollback Frequency**: How often we need to revert changes
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- **User Engagement**: Level of participation in improvement process
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