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myclaude/docs/V6-WORKFLOW-ANALYSIS.md
swe-agent[bot] 5a23f62ec5 Add v6 BMAD-METHOD workflow analysis
- Comprehensive comparison of v6 vs current workflow
- Identified 7 key innovations with priority rankings
- Created 4-phase implementation roadmap
- Recommended adoptable practices and what to keep

Generated by swe-agent
2025-10-20 13:18:10 +00:00

17 KiB

v6 BMAD-METHOD Workflow Analysis

Executive Summary

This document analyzes the v6 BMAD-METHOD workflow from bmad-code-org/BMAD-METHOD and provides recommendations for adopting its key innovations into our current workflow system.

Analysis Date: 2025-10-20
Current System: myclaude multi-agent workflow (v3.2)
Comparison Target: BMAD-METHOD v6-alpha


Key v6 Innovations

1. Scale-Adaptive Planning (★★★★★)

What it is: Projects automatically route through different workflows based on complexity levels (0-4).

v6 Approach:

Level 0: Single atomic change → tech-spec only + 1 story
Level 1: 1-10 stories, 1 epic → tech-spec + 2-3 stories  
Level 2: 5-15 stories, 1-2 epics → PRD + tech-spec
Level 3: 12-40 stories, 2-5 epics → PRD + architecture + JIT tech-specs
Level 4: 40+ stories, 5+ epics → PRD + architecture + JIT tech-specs

Current System: Fixed workflow - always runs PO → Architect → SM → Dev → Review → QA regardless of project size.

Gap: We waste effort on small changes by requiring full PRD and architecture docs.

Recommendation: HIGH PRIORITY - Adopt Level System

Implementation plan:

  1. Create workflow-classifier agent to assess project complexity
  2. Route to appropriate workflow based on level:
    • Level 0-1: Skip PRD, go straight to tech-spec
    • Level 2: Current workflow minus architecture
    • Level 3-4: Current full workflow
  3. Add --level flag to bmad-pilot for manual override

Benefits:

  • 80% faster for simple changes (Level 0-1)
  • More appropriate documentation overhead
  • Better resource allocation

2. Universal Entry Point - workflow-status (★★★★☆)

What it is: Single command that checks project status, guides workflow selection, and recommends next steps.

v6 Approach:

bmad analyst workflow-status
# Checks for existing status file
# If exists: Shows current phase, progress, next action
# If not: Guides to appropriate workflow based on context

Current System: Users must know which command to run (/bmad-pilot vs /requirements-pilot vs /code).

Gap: No centralized status tracking or workflow guidance.

Recommendation: MEDIUM PRIORITY - Create Workflow Hub

Implementation plan:

  1. Create /workflow-status command
  2. Implement status file at .claude/workflow-status.md
  3. Auto-detect:
    • Project context (greenfield vs brownfield)
    • Existing artifacts
    • Current workflow phase
  4. Provide smart recommendations

Benefits:

  • Eliminates workflow confusion
  • Better onboarding for new users
  • Clear progress visibility

3. Just-In-Time (JIT) Technical Specifications (★★★★★)

What it is: Create tech specs one epic at a time during implementation, not all upfront.

v6 Approach:

FOR each epic in sequence:
    WHEN ready to implement epic:
        Architect: Run tech-spec workflow for THIS epic only
        → Creates tech-spec-epic-N.md
    IMPLEMENT epic completely
    THEN move to next epic

Current System: Architecture doc created upfront for entire project (Phase 2).

Gap: Over-engineering risk - we design everything before learning from implementation.

Recommendation: HIGH PRIORITY - Adopt JIT Architecture

Implementation plan:

  1. Phase 2: Create high-level architecture.md only (system overview, major components)
  2. Phase 3 (new): JIT tech-spec generation per epic
    • Command: /bmad-architect-epic <epic-number>
    • Input: architecture.md + epic details + learnings from previous epics
    • Output: tech-spec-epic-N.md
  3. Update bmad-dev to read current epic's tech spec

Benefits:

  • Prevents over-engineering
  • Incorporates learnings from previous epics
  • More adaptive to changes
  • Reduces upfront planning paralysis

4. 4-State Story State Machine (★★★★☆)

What it is: Explicit story lifecycle tracking in workflow status file.

v6 State Machine:

BACKLOG → TODO → IN PROGRESS → DONE

BACKLOG: Ordered list of stories to be drafted
TODO: Single story ready for drafting (or drafted, awaiting approval)
IN PROGRESS: Single story approved for development
DONE: Completed stories with dates and points

Current System: Sprint plan has stories but no state tracking mechanism.

Gap: No visibility into which stories are being worked on, completed, or blocked.

Recommendation: HIGH PRIORITY - Implement State Machine

Implementation plan:

  1. Enhance 03-sprint-plan.md with state sections:

    ## Story Backlog
    ### BACKLOG
    - [ ] Story-001: User login
    - [ ] Story-002: Password reset
    
    ### TODO
    - [ ] Story-003: Profile edit (Status: Draft)
    
    ### IN PROGRESS
    - [~] Story-004: Dashboard (Status: Ready)
    
    ### DONE
    - [x] Story-005: Setup (Status: Done) [2025-10-15, 3 points]
    
  2. Create workflow commands:

    • /bmad-sm-draft-story - Moves BACKLOG → TODO, creates story file
    • /bmad-sm-approve-story - Moves TODO → IN PROGRESS (after user review)
    • /bmad-dev-complete-story - Moves IN PROGRESS → DONE (after DoD check)
  3. Agents read status file instead of searching for "next story"

Benefits:

  • Clear progress visibility
  • No ambiguity on what to work on next
  • Prevents duplicate work
  • Historical tracking with dates and points

5. Dynamic Expertise Injection - story-context (★★★☆☆)

What it is: Generate targeted technical guidance XML per story before implementation.

v6 Approach:

bmad sm story-context  # Generates expertise injection XML
bmad dev dev-story     # Implements with context

Current System: Dev reads all previous artifacts (PRD, architecture, sprint plan) directly.

Gap: Dev agent must parse large documents to find relevant info for current story.

Recommendation: MEDIUM PRIORITY - Add Context Generator

Implementation plan:

  1. Create /bmad-sm-context command (runs before dev-story)
  2. Input: Current story + PRD + architecture
  3. Output: story-{id}-context.xml with:
    • Relevant technical constraints
    • Integration points for this story
    • Security considerations
    • Performance requirements
    • Example implementations
  4. bmad-dev reads context file first, then implements

Benefits:

  • Reduces context window usage
  • More focused implementation guidance
  • Consistent technical patterns
  • Faster dev agent reasoning

6. Continuous Learning - Retrospectives (★★★☆☆)

What it is: Capture learnings after each epic and feed improvements back into workflows.

v6 Approach:

bmad sm retrospective  # After epic complete
# Documents:
# - What went well
# - What could improve
# - Action items for next epic
# - Workflow adjustments

Current System: No retrospective mechanism.

Gap: We don't learn from successes/failures across epics.

Recommendation: LOW PRIORITY - Add Retrospective Workflow

Implementation plan:

  1. Create /bmad-retrospective command (triggered after epic complete)
  2. Generate .claude/specs/{feature}/retrospective-epic-N.md
  3. Sections:
    • Epic summary (planned vs actual)
    • What went well
    • What didn't work
    • Learnings for next epic
    • Workflow improvements
  4. Next epic's planning reads previous retrospectives

Benefits:

  • Continuous improvement
  • Team learning capture
  • Better estimations over time
  • Process optimization

7. Workflow Phase Structure (★★★★☆)

v6 Four-Phase Model:

Phase 1: Analysis (Optional) - Brainstorming, research, briefs
Phase 2: Planning (Required) - Scale-adaptive routing, PRD/GDD, epics
Phase 3: Solutioning (L3-4 only) - Architecture, JIT tech-specs
Phase 4: Implementation (Iterative) - Story state machine loop

Current System:

Phase 0: Repository Scan
Phase 1: Product Requirements (PO)
Phase 2: System Architecture (Architect)
Phase 3: Sprint Planning (SM)
Phase 4: Development (Dev)
Phase 5: Code Review (Review)
Phase 6: QA Testing (QA)

Key Differences:

  • v6 has optional analysis phase (we don't)
  • v6 has scale-adaptive routing (we don't)
  • v6 treats implementation as iterative loop (we treat as linear)
  • v6 has solutioning phase only for complex projects (we always architect)

Recommendation: MEDIUM PRIORITY - Restructure Phases

Proposed new structure:

Phase 0: Status Check (workflow-status) - NEW
Phase 1: Analysis (Optional) - NEW - brainstorming, research
Phase 2: Planning (Scale-Adaptive) - ENHANCED
  - Level 0-1: Tech-spec only
  - Level 2: PRD + tech-spec
  - Level 3-4: PRD + epics
Phase 3: Solutioning (L2-4 only) - ENHANCED
  - Level 2: Lightweight architecture
  - Level 3-4: Full architecture + JIT tech-specs
Phase 4: Implementation (Iterative) - ENHANCED
  - Story state machine
  - Dev → Review → Approve loop
Phase 5: QA Testing (Optional) - KEEP
  - Can be skipped with --skip-tests

Comparison Matrix

Feature v6 BMAD-METHOD Current System Priority Effort
Scale-adaptive planning Level 0-4 routing Fixed workflow HIGH Medium
Universal entry point workflow-status Manual selection MEDIUM Low
JIT tech specs One per epic All upfront HIGH Medium
Story state machine 4-state tracking No tracking HIGH Medium
Story context injection Per-story XML Read all docs MEDIUM Low
Retrospectives After each epic None LOW Low
Brownfield support Docs-first approach ⚠️ No special handling MEDIUM High
Quality gates ⚠️ Implicit Explicit scoring - -
Code review phase Not separate Dedicated phase - -
Repository scan Not mentioned Phase 0 - -

Legend:

  • Fully supported
  • ⚠️ Partially supported
  • Not supported

Adoptable Practices - Prioritized Roadmap

Phase 1: Quick Wins (1-2 weeks)

Goal: Add high-value features with low implementation effort

  1. Universal Entry Point (2 days)

    • Create /workflow-status command
    • Implement .claude/workflow-status.md tracking file
    • Auto-detect project context and recommend workflow
  2. Story Context Injection (2 days)

    • Create /bmad-sm-context command
    • Generate story-specific context XMLs
    • Update bmad-dev to read context files
  3. Retrospectives (1 day)

    • Create /bmad-retrospective command
    • Simple template for epic learnings
    • Store in .claude/specs/{feature}/retrospective-epic-N.md

Expected Impact: Better workflow guidance, focused dev context, learning capture


Phase 2: Core Improvements (2-3 weeks)

Goal: Implement scale-adaptive planning and state machine

  1. Scale-Adaptive Planning (1 week)

    • Create workflow classifier agent
    • Implement Level 0-4 routing logic
    • Add shortcuts:
      • Level 0: /code-spec (tech-spec only)
      • Level 1: /mini-sprint (tech-spec + few stories)
      • Level 2-4: /bmad-pilot (current workflow, enhanced)
  2. Story State Machine (1 week)

    • Enhance sprint plan with 4-state sections
    • Create state transition commands:
      • /bmad-sm-draft-story
      • /bmad-sm-approve-story
      • /bmad-dev-complete-story
    • Update agents to read state file

Expected Impact: 80% faster for small changes, clear story tracking


Phase 3: Architectural Changes (3-4 weeks)

Goal: Implement JIT architecture and brownfield support

  1. JIT Technical Specifications (2 weeks)

    • Split architecture phase:
      • Phase 2: High-level architecture.md
      • Phase 3: Epic-specific tech-spec-epic-N.md (JIT)
    • Create /bmad-architect-epic <epic-num> command
    • Update dev workflow to request tech specs as needed
  2. Brownfield Support (1 week)

    • Create /bmad-analyze-codebase command
    • Check for documentation before planning
    • Generate baseline docs for existing code

Expected Impact: Better architecture decisions, existing codebase support


Phase 4: Workflow Restructuring (4-5 weeks)

Goal: Align with v6 phase model

  1. Phase Restructure (2 weeks)

    • Add optional Analysis phase (brainstorming, research)
    • Make Solutioning phase conditional (L2-4 only)
    • Convert Implementation to iterative loop
  2. Integration & Testing (2 weeks)

    • Test all new workflows end-to-end
    • Update documentation
    • Create migration guide

Expected Impact: More flexible, efficient workflows


What NOT to Adopt

v6: No explicit quality gates with numeric scores
Current: 90/100 threshold for PRD and Architecture

Reasoning: Our quality scoring system provides objective feedback and clear improvement targets. v6's implicit quality checks are less transparent. Keep our scoring system.

v6: No separate review phase (incorporated into dev-story)
Current: Dedicated bmad-review agent between Dev and QA

Reasoning: Separation of concerns improves quality. Independent reviewer catches issues dev might miss. Keep review phase.

v6: No automatic codebase analysis
Current: Phase 0 repository scan

Reasoning: Understanding existing codebase is critical. Our scan provides valuable context. Keep repository scan.


Implementation Strategy

Incremental Adoption Approach

Week 1-2: Quick Wins

# Add new commands (parallel to existing workflow)
/workflow-status     # Universal entry point
/bmad-sm-context     # Story context injection
/bmad-retrospective  # Epic learnings

Week 3-5: Core Features

# Enhance existing workflow
/bmad-pilot --level 0  # Scale-adaptive routing
# Story state machine in sprint plan

Week 6-9: Architecture

# Split architecture phase
/bmad-architect        # High-level (Phase 2)
/bmad-architect-epic 1 # JIT tech-spec (Phase 3)

Week 10-14: Full Integration

# New phase structure with all enhancements

Backward Compatibility

  • Keep existing commands working (/bmad-pilot without flags)
  • Maintain current artifact structure (.claude/specs/)
  • Gradual migration - old and new workflows coexist
  • Clear migration documentation for users

Success Metrics

Quantitative Goals

  1. Workflow Efficiency

    • 80% reduction in time for Level 0-1 changes
    • 50% reduction in context window usage via story-context
    • 30% reduction in architecture rework via JIT approach
  2. User Experience

    • 100% of users understand current workflow phase (workflow-status)
    • 90% reduction in "which command do I run?" confusion
    • Zero manual story selection (state machine handles it)
  3. Code Quality

    • Maintain 90/100 quality gate threshold
    • Increase epic-to-epic estimation accuracy by 20% (via retrospectives)
    • Zero regression in review/QA effectiveness

Qualitative Goals

  • More adaptive workflows (right-sized for task)
  • Clearer progress visibility
  • Better learning capture across epics
  • Improved brownfield project support

Risks & Mitigation

Risk Impact Mitigation
User confusion from workflow changes High Gradual rollout, clear docs, backward compatibility
Implementation complexity Medium Incremental phases, thorough testing
State machine bugs Medium Comprehensive state transition testing
JIT architecture quality issues Medium Keep quality gates, provide good context
Migration effort for existing users Low Both old and new workflows work side-by-side

Conclusion

The v6 BMAD-METHOD workflow introduces several powerful innovations that address real pain points in our current system:

Must Adopt (HIGH Priority):

  1. Scale-adaptive planning - Eliminates workflow overhead for simple changes
  2. JIT technical specifications - Prevents over-engineering, incorporates learning
  3. Story state machine - Clear progress tracking, eliminates ambiguity

Should Adopt (MEDIUM Priority): 4. Universal entry point - Better user experience, workflow guidance 5. Phase restructure - More flexible, efficient workflows 6. Story context injection - Reduces context usage, focused implementation

Nice to Have (LOW Priority): 7. Retrospectives - Continuous improvement, learning capture

Keep Our Innovations:

  • Quality scoring system (90/100 gates)
  • Dedicated code review phase
  • Repository scan automation

Immediate (This sprint):

  • Create /workflow-status command
  • Implement story-context injection
  • Add retrospective support

Next Sprint:

  • Build scale-adaptive classifier
  • Implement story state machine
  • Add Level 0-1 fast paths

Next Month:

  • Implement JIT architecture
  • Add brownfield support
  • Full phase restructure

Timeline: 10-14 weeks for complete v6 feature parity while preserving our quality innovations.


References


Analysis completed: 2025-10-20
Analyst: SWE Agent
Next Review: After Phase 1 implementation (2 weeks)