docs: Add VCS-agnostic documentation and examples

Comprehensive documentation explaining the VCS-agnostic approach.

- Add VCS_AGNOSTIC_PROPOSAL.md with detailed rationale and implementation
- Add vcs-adaptation-examples.md with practical usage examples
- Include interaction scenarios for different VCS setups
- Document success metrics and anti-patterns to avoid

Helps teams understand how BMAD adapts to their existing workflows.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
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# VCS Adaptation Examples
## Real-World Scenarios: How BMAD Adapts
### Example 1: Startup with GitHub Flow
**Context:** 5-person team, web SaaS, deploys daily
**Discovery:**
```
BMAD: "How does your team manage code versions?"
User: "Git with GitHub"
BMAD: "Which Git workflow best describes your approach?"
User: "GitHub Flow - simple feature branches"
```
**BMAD Adapts:**
- Architect generates lightweight, PR-sized architecture updates
- SM creates 1-3 day stories that map to single PRs
- Dev suggests branch names like `feature/add-user-auth`
- All docs optimized for quick review in PR comments
**Generated Architecture Snippet:**
```markdown
## Payment Service Update
_PR: #234 - feature/add-stripe-integration_
### Changes in This PR
- New Stripe webhook handler
- Updated payment models
- Added retry logic
### Testing
- [ ] Unit tests for webhook handler
- [ ] Integration test with Stripe test mode
- [ ] Manual testing checklist in PR
```
---
### Example 2: Enterprise with GitFlow
**Context:** 50-person team, banking software, quarterly releases
**Discovery:**
```
BMAD: "How does your team manage code versions?"
User: "Git with corporate server"
BMAD: "Which Git workflow?"
User: "GitFlow - we have develop, release, and hotfix branches"
```
**BMAD Adapts:**
- Architect creates version-oriented architecture docs
- PM generates release-scoped PRDs
- SM groups stories by release version
- Dev follows strict branch naming
**Generated Architecture Snippet:**
```markdown
## Release 2.4.0 Architecture
### Version Highlights
- New authentication system (breaking change)
- Performance improvements
- Database migration required
### Branch Status
- develop: v2.5.0 features in progress
- release/2.4.0: Final testing
- hotfix/2.3.1: Critical fix for production
### Migration Guide
From 2.3.x to 2.4.0:
1. Run migration script
2. Update config files
3. Restart services in order
```
---
### Example 3: No Version Control
**Context:** Data scientist, one-time analysis script
**Discovery:**
```
BMAD: "How does your team manage code versions?"
User: "No version control needed - this is a one-time script"
```
**BMAD Adapts:**
- All code in single, runnable package
- Extensive inline documentation
- No commit messages or branch references
- Date-stamped delivery
**Generated Package:**
```
customer_analysis_20240315/
├── README.md # Complete instructions
├── requirements.txt # All Python dependencies
├── analysis.py # Full script with comments
├── data/
│ └── sample.csv # Sample data format
└── output/
└── results_template.xlsx
```
**README Content:**
```markdown
# Customer Analysis Script
Generated: 2024-03-15
## Quick Start
1. Install dependencies: pip install -r requirements.txt
2. Place your data in data/input.csv
3. Run: python analysis.py
4. Results appear in output/
## No Version Control Required
This is a complete, self-contained package.
```
---
### Example 4: Custom SVN Workflow
**Context:** Game studio using Subversion
**Discovery:**
```
BMAD: "How does your team manage code versions?"
User: "Other version control system"
BMAD: "Which system?"
User: "Subversion (SVN)"
```
**BMAD Adapts:**
- Uses "revision" instead of "commit"
- References trunk/branches/tags structure
- Revision numbers, not hashes
- SVN-specific commands
**Generated Instructions:**
```markdown
## Integration Steps
1. Update your working copy:
svn update
2. Create feature branch:
svn copy ^/trunk ^/branches/feature-player-inventory
3. After implementation:
svn merge ^/branches/feature-player-inventory
4. Commit with revision message:
svn commit -m "Add player inventory system (refs ticket #456)"
```
---
### Example 5: Trunk-Based with Feature Flags
**Context:** Netflix-style continuous deployment
**Discovery:**
```
BMAD: "How does your team manage code versions?"
User: "Git with GitHub"
BMAD: "Which Git workflow?"
User: "Trunk-Based - we deploy continuously"
```
**BMAD Adapts:**
- Everything behind feature flags
- Tiny, hours-long tasks
- Direct commits or same-day PRs
- Progressive rollout plans
**Generated Story:**
````markdown
## Story: Add Recommendation Engine
Size: 4 hours
Flag: `recommendation-engine-v2`
### Implementation
```python
if feature_flag.is_enabled("recommendation-engine-v2", user_id):
return new_recommendation_engine(user_id)
else:
return legacy_recommendations(user_id)
```
````
### Rollout Plan
- Hour 1-2: Implement behind flag (0% users)
- Hour 3: Deploy and enable for employees
- Hour 4: Enable for 1% external users
- Day 2: 10% if metrics good
- Day 3: 50%
- Day 5: 100% and schedule flag removal
```
---
### Example 6: Complex Multi-VCS Setup
**Context:** Enterprise with mixed systems
**Discovery:**
```
BMAD: "How does your team manage code versions?"
User: "Custom/Complex setup"
BMAD: "Please describe:"
User: "Frontend in Git, backend in Perforce, configs in SVN"
````
**BMAD Adapts:**
- Asks for component-specific preferences
- Generates VCS-appropriate artifacts per component
- Uses neutral terminology in cross-component docs
**Generated Guidance:**
```markdown
## Multi-VCS Development Guide
### Frontend (Git/GitHub Flow)
- Feature branches from main
- PR review process
- Deploy on merge
### Backend (Perforce)
- Create changelist for features
- Submit after review
- Changelist numbers in deployment notes
### Configuration (SVN)
- Update from trunk before changes
- Commit with revision references
- Tag for production releases
### Cross-Component Changes
When updating across systems:
1. Frontend PR: #123
2. Backend Changelist: 456789
3. Config Revision: r1234
Reference all three in deployment ticket.
````
## Key Takeaways
1. **BMAD never assumes** - always discovers first
2. **Adapts terminology** - commit/changelist/revision as appropriate
3. **Respects workflows** - doesn't try to "improve" existing processes
4. **Practical focus** - generates what works with their tools
5. **Clear communication** - uses the team's language
This flexibility makes BMAD valuable to ANY team, regardless of their VCS choice.

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# VCS-Agnostic Approach for BMAD-METHOD
## Core Philosophy: "BMAD Suggests, User Decides"
### Executive Summary
BMAD should adapt to existing team practices rather than impose specific version control strategies. This proposal outlines a flexible, discovery-based approach to VCS integration.
## The Problem with Current Assumptions
Current BMAD and the Gemini analysis document assume:
- All projects use Git
- Teams need "best practice" workflows
- Version control strategy is primarily technical
Reality:
- Many teams have unique, working systems
- Some projects don't need VCS at all
- VCS choice is often organizational/political, not technical
## Proposed Solution: VCS Discovery Protocol
### 1. Initial Discovery Question
```yaml
vcs_discovery:
initial_question: 'How does your team manage code versions?'
response_paths:
established_system:
- 'We have our own system that works'
- BMAD: 'Great! Tell me about it so I can adapt'
no_vcs:
- "We don't use version control"
- BMAD: "Understood. I'll generate self-contained packages"
need_guidance:
- 'We need recommendations'
- BMAD: 'Let me understand your context first...'
```
### 2. Adaptation Matrix
| User Response | BMAD Adaptation |
| --------------------------- | ----------------------------------------------------- |
| "Custom Git workflow" | Agents use generic Git terms, no strategy assumptions |
| "No VCS (prototype)" | Single deliverable packages with date versioning |
| "Platform VCS (Salesforce)" | Platform-specific artifacts and terminology |
| "Legacy system (SVN)" | VCS-agnostic artifacts, no Git-specific features |
| "It's complicated..." | Free-form description, custom adaptation |
### 3. Agent Behavioral Adaptations
#### Architect Agent
```yaml
vcs_adaptations:
no_vcs:
- Generate monolithic architecture document
- Include all specs in single package
- Version via: PROJECTNAME_ARCH_YYYYMMDD.md
custom_vcs:
- Ask: 'What format works with your system?'
- Avoid Git-specific terminology
- Focus on deliverables, not process
```
#### Developer Agent
```yaml
vcs_adaptations:
no_vcs:
- Generate complete code blocks
- No commit message suggestions
- Package as: FEATURE_COMPLETE_YYYYMMDD.zip
custom_vcs:
- Ask: 'How should I structure code changes?'
- Follow team's existing patterns
```
#### SM Agent
```yaml
vcs_adaptations:
no_vcs:
- Create comprehensive story documents
- Include all context in each story
git_based:
- Option to create branch-scoped stories
- But only if team requests it
```
## Implementation Steps
### Phase 1: Discovery Mechanism
Create `bmad-core/tasks/discover-vcs.md`:
- Non-assumptive questions
- Multiple response paths
- Custom description option
### Phase 2: Adaptation Templates
Create `bmad-core/templates/vcs-adaptations/`:
- `no-vcs.yaml`
- `git-agnostic.yaml`
- `platform-specific.yaml`
- `custom-adapter.yaml`
### Phase 3: Agent Updates
Modify each agent to:
1. Check VCS context before generating artifacts
2. Adapt output format based on VCS choice
3. Never assume Git unless confirmed
## Key Principles
1. **No Assumptions**: Never assume Git or any specific VCS
2. **Respect Existing**: Honor teams' current working systems
3. **Adapt, Don't Educate**: We adapt to them, not vice versa
4. **Suggest When Asked**: Only provide recommendations when requested
5. **Custom is Valid**: "Our own way" is a perfectly valid answer
## Example Interactions
### Scenario 1: Team with Custom Process
```
BMAD: "How does your team manage code versions?"
User: "We use Git but with our own branching model based on features and environments"
BMAD: "Perfect! I'll adapt to your model. Could you briefly describe when code moves between environments?"
User: [describes their process]
BMAD: "Got it. I'll structure artifacts to align with your feature→environment flow"
```
### Scenario 2: No VCS Needed
```
BMAD: "How does your team manage code versions?"
User: "This is a one-time data migration script, no versioning needed"
BMAD: "Understood. I'll generate a single, complete package with clear documentation"
```
### Scenario 3: Guidance Requested
```
BMAD: "How does your team manage code versions?"
User: "We're not sure, what do you recommend?"
BMAD: "Let me understand your context first:
- How many developers?
- How often do you release?
- Is this a new project or existing codebase?"
[After answers]
BMAD: "Based on your context, here are 2 options that could work..."
```
## Success Metrics
- Zero assumptions about Git in initial interactions
- Successful adaptation to 10+ different VCS approaches
- No forced "best practices" unless requested
- Positive feedback from teams with non-standard processes
## Anti-Patterns to Avoid
❌ "You should use Trunk-Based Development"
❌ "Git is the industry standard"
❌ "Your process could be improved by..."
❌ Generating Git-specific artifacts without confirmation
❌ Assuming branches exist
## Conclusion
BMAD's strength lies in adaptation, not prescription. By adopting a truly VCS-agnostic approach, BMAD becomes useful to ALL teams, regardless of their version control choices or lack thereof.
The goal: Make BMAD work with whatever the team has, not force the team to work with what BMAD expects.