mirror of
https://github.com/bmadcode/BMAD-METHOD.git
synced 2025-12-29 16:14:59 +00:00
f14014f0c7
## Key Changes ### 1. Time Estimate Prohibition (All Modules) - Added critical warnings against providing ANY time estimates (hours/days/weeks/months) - Acknowledges AI has fundamentally changed development speed - Applied to 33 workflow instruction files across BMB, BMGD, BMM, and CIS modules - Updated workflow creation guide with prohibition guidelines ### 2. Enhanced Epic Creation Workflow - Added intelligent UPDATE vs CREATE mode detection - Detects available context (UX, Architecture, Domain brief, Product brief) - Progressive enhancement: creates basic epics, then enriches with UX/Architecture - Living document approach with continuous updates - Added 305 lines of sophisticated workflow logic ### 3. Workflow Status Initialization Refactoring - Simplified from 893 to 318 lines (65% reduction) - Streamlined state detection: CLEAN, PLANNING, ACTIVE, LEGACY, UNCLEAR - Cleaner path selection and initialization logic - Removed redundant complexity while maintaining functionality ### 4. Workflow Path Updates - Updated all 4 workflow paths (enterprise/method × brownfield/greenfield) - Added multiple optional epic creation steps at different phases: - After PRD (basic structure) - After UX Design (with interaction context) - After Architecture (final with full context) - Changed PRD output description from "with epics and stories" to "with FRs and NFRs" ### 5. Architecture & Innovation Updates - Made epics input optional in architecture workflow (falls back to PRD FRs) - Updated innovation strategy phases to remove time-based language - Phases now: Immediate Impact → Foundation Building → Scale & Optimization ### Files Changed - 33 instruction files updated with time estimate prohibition - 2 workflow.yaml files updated (create-epics-and-stories, architecture) - 4 workflow path YAML files updated - 1 workflow creation guide enhanced This refactor significantly improves workflow intelligence, removes harmful time-based planning assumptions, and creates more adaptive, context-aware workflows that better leverage AI capabilities.