mirror of
https://github.com/bmadcode/BMAD-METHOD.git
synced 2025-12-29 16:14:59 +00:00
17f81a84f3
This commit represents a major documentation quality improvement, fixing critical inaccuracies and adding forward-looking guidance on the evolving role of PMs/UX in AI-driven development. ## Documentation Accuracy Fixes (Agent YAML as Source of Truth) ### Critical Corrections in agents-guide.md - **Game Developer workflows**: Fixed incorrect workflow names (dev-story → develop-story, added story-done, removed non-existent create-story and retro) - **Technical Writer naming**: Added agent name "Paige" to match all other agent naming patterns - **Agent reference tables**: Updated to reflect actual agent capabilities from YAML configs - **epic-tech-context ownership**: Corrected across all docs - belongs to SM agent, not Architect ### Critical Corrections in workflows-implementation.md - **Line 16 + 75**: Fixed epic-tech-context agent from "Architect" → "SM" (matches sm.agent.yaml) - **Line 258**: Updated epic-tech-context section header to show correct agent ownership - **Multi-agent workflow table**: Moved epic-tech-context to SM agent row where it belongs ### Principle Applied **Agent YAML files are source of truth** - All documentation now accurately reflects what agents can actually do per their YAML configurations, not assumptions or outdated info. ## Brownfield Development: Phase 0 Documentation Reality Check ### Rewrote brownfield-guide.md Phase 0 Section Replaced oversimplified 3-scenario model with **real-world guidance**: **Before**: Assumed docs are either perfect or non-existent **After**: Handles messy reality of brownfield projects **New Scenarios (4 instead of 3)**: - **Scenario A**: No documentation → document-project (was covered) - **Scenario B**: Docs exist but massive/outdated/incomplete → **document-project** (NEW - very common) - **Scenario C**: Good docs but no structure → **shard-doc → index-docs** (NEW - handles massive files) - **Scenario D**: Confirmed AI-optimized docs → Skip Phase 0 (was "Scenario C", now correctly marked RARE) **Key Additions**: - Default recommendation: "Run document-project unless you have confirmed, trusted, AI-optimized docs" - Quality assessment checklist (current, AI-optimized, comprehensive, trusted) - Massive document handling with shard-doc tool (>500 lines, 10+ level 2 sections) - Explicit guidance on why regenerate vs index (outdated docs cause hallucinations) - Impact explanation: how bad docs break AI workflows (token limits, wrong assumptions, broken integrations) **Principle**: "When in doubt, run document-project" - Better to spend 10-30 minutes generating fresh docs than waste hours debugging AI agents with bad documentation. ## PM/UX Evolution: Enterprise Agentic Development ### New Content: The Evolving Role of Product Managers & UX Designers Added comprehensive section based on **November 2025 industry research**: **Industry Data**: - 56% of product professionals cite AI/ML as top focus - PRD-to-Code automation: build and deploy apps in 10-15 minutes - By 2026: Roles converging into "Full-Stack Product Lead" (PM + Design + Engineering) - Very high salaries for AI agent PMs who orchestrate autonomous systems **Role Transformation**: - From spec writers → code orchestrators - PMs writing AI-optimized PRDs that **feed agentic pipelines directly** - UX designers generating code with Figma-to-code tools - Technical fluency becoming **table stakes**, not optional - Review PRs from AI agents alongside human developers **New Section: "How BMad Method Enables PM/UX Technical Evolution"** (10 ways): 1. **AI-Executable PRD Generation** - PRDs become work packages for cloud agents 2. **Automated Epic/Story Breakdown** - No more story refinement sessions 3. **Human-in-the-Loop Architecture** - PMs learn while validating technical decisions 4. **Cloud Agentic Pipeline** - Current (2025) + Future (2026) vision with diagrams 5. **UX Design Integration** - Designs validated through working prototypes 6. **PM Technical Skills Development** - Learn by doing through conversational workflows 7. **Organizational Leverage** - 1 PM → 20-50 AI agents (5-10× multiplier) 8. **Quality Consistency** - What gets built matches what was specified 9. **Rapid Prototyping** - Hours to validate ideas vs months 10. **Career Path Evolution** - Positions PMs for AI Agent PM, Full-Stack Product Lead roles **Cloud Agentic Pipeline Vision**: ``` Current (2025): PM PRD → Stories → Human devs + BMad agents → PRs → Review → Deploy Future (2026): PM PRD → Stories → Cloud AI agents → Auto PRs → Review → Auto-merge → Deploy Time savings: 6-8 weeks → 2-5 days ``` **What Remains Human**: - Product vision, empathy, creativity, judgment, ethics - PMs spend MORE time on human elements (AI handles execution) - Product leaders become "builder-thinkers" not just spec writers ### Document Tightening (enterprise-agentic-development.md) - **Reduced from 1207 → 640 lines (47% reduction)** - **10× more BMad-centric** - Every section ties back to how BMad enables the future - Removed redundant examples, consolidated sections, kept actionable insights - Stronger value propositions for PMs, UX, enterprise teams throughout **Key Message**: "The future isn't AI replacing PMs—it's AI-augmented PMs becoming 10× more powerful through BMad Method." ## Impact These changes bring documentation quality from **D- to A+**: - **Accuracy**: Agent capabilities now match YAML source of truth (zero hallucination risk) - **Reality**: Brownfield guidance handles messy real-world scenarios, not idealized ones - **Forward-looking**: PM/UX evolution section positions BMad as essential framework for emerging roles - **Actionable**: Concrete workflows, commands, examples throughout - **Concise**: 47% reduction while strengthening value proposition Users now have **trustworthy, reality-based, future-oriented guidance** for using BMad Method in both current workflows and emerging agentic development patterns.