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docs: comprehensive documentation accuracy overhaul and PM/UX evolution analysis
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All documentation now accurately reflects what agents can actually do per their YAML configurations, not assumptions or outdated info.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of 3)**: - **Scenario A**: No documentation → document-project (was covered) - **Scenario B**: Docs exist but massive/outdated/incomplete → **document-project** (NEW - very common) - **Scenario C**: Good docs but no structure → **shard-doc → index-docs** (NEW - handles massive files) -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500 lines, 10+ level 2 sections) - Explicit guidance on why regenerate vs index (outdated docs cause hallucinations) - Impact explanation: how bad docs break AI workflows (token limits, wrong assumptions, broken integrations) **Principle**: "When in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.
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@@ -10,18 +10,18 @@ Phase 4 (Implementation) workflows manage the iterative sprint-based development
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## Quick Reference
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| Workflow | Agent | Duration | Purpose |
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| --------------------- | --------- | -------------- | ------------------------------------ |
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| **sprint-planning** | SM | 30-60 min | Initialize sprint tracking file |
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| **epic-tech-context** | Architect | 15-30 min/epic | Epic-specific technical guidance |
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| **create-story** | SM | 10-20 min | Create next story from epics |
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| **story-context** | PM | 10-15 min | Assemble dynamic story context |
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| **dev-story** | DEV | 2-8 hours | Implement story with tests |
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| **code-review** | DEV | 30-60 min | Senior dev review of completed story |
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| **correct-course** | SM | 30-90 min | Handle mid-sprint changes |
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| **retrospective** | SM | 60-90 min | Post-epic review and lessons |
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| **workflow-status** | All | 2-5 min | Check "what should I do now?" |
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| **document-project** | Analyst | 1-3 hours | Document brownfield projects |
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| Workflow | Agent | Duration | Purpose |
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| --------------------- | ------- | -------------- | ------------------------------------ |
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| **sprint-planning** | SM | 30-60 min | Initialize sprint tracking file |
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| **epic-tech-context** | SM | 15-30 min/epic | Epic-specific technical guidance |
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| **create-story** | SM | 10-20 min | Create next story from epics |
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| **story-context** | PM | 10-15 min | Assemble dynamic story context |
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| **dev-story** | DEV | 2-8 hours | Implement story with tests |
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| **code-review** | DEV | 30-60 min | Senior dev review of completed story |
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| **correct-course** | SM | 30-90 min | Handle mid-sprint changes |
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| **retrospective** | SM | 60-90 min | Post-epic review and lessons |
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| **workflow-status** | All | 2-5 min | Check "what should I do now?" |
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| **document-project** | Analyst | 1-3 hours | Document brownfield projects |
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---
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@@ -69,13 +69,12 @@ Every story moves through this lifecycle:
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Phase 4 involves coordination between agents:
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| Agent | Primary Workflows | Role |
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| ------------- | ------------------------------------------------------------ | --------------------------- |
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| **SM** | sprint-planning, create-story, correct-course, retrospective | Orchestration, tracking |
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| **Architect** | epic-tech-context | Technical guidance per epic |
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| **PM** | story-context | Context assembly |
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| **DEV** | dev-story, code-review | Implementation, quality |
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| **Analyst** | document-project | Documentation (brownfield) |
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| Agent | Primary Workflows | Role |
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| ----------- | ------------------------------------------------------------------------------- | -------------------------- |
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| **SM** | sprint-planning, epic-tech-context, create-story, correct-course, retrospective | Orchestration, tracking |
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| **PM** | story-context | Context assembly |
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| **DEV** | dev-story, code-review | Implementation, quality |
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| **Analyst** | document-project | Documentation (brownfield) |
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---
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@@ -256,7 +255,7 @@ epics:
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Generate epic-specific technical context document that provides implementation guidance, patterns, and technical decisions for a single epic. Bridges architecture and story implementation.
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**Agent:** Architect
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**Agent:** SM (Scrum Master)
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**Phase:** 4 (Implementation)
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**Required:** Optional (recommended for Level 3-4)
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**Typical Duration:** 15-30 minutes per epic
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@@ -974,7 +973,7 @@ Tests Added:
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### Purpose
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Perform a Senior Developer code review on a completed story flagged Ready for Review, leveraging story-context, epic tech-spec, repo docs, MCP servers for latest best-practices, and web search as fallback.
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Perform a Senior Developer code review on a completed story flagged Ready for Review, leveraging story-context, epic-tech-context, repo docs, MCP servers for latest best-practices, and web search as fallback.
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**Agent:** DEV (Senior Developer persona)
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**Phase:** 4 (Implementation)
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