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BMad Glossary

Comprehensive terminology reference for the BMad Method.



BMad (Breakthrough Method of Agile AI Driven Development)

Section titled “BMad (Breakthrough Method of Agile AI Driven Development)”

AI-driven agile development framework with specialized agents, guided workflows, and scale-adaptive intelligence.

Core orchestration system for AI-driven agile development, providing comprehensive lifecycle management through specialized agents and workflows.

The complete methodology for AI-assisted software development, encompassing planning, architecture, implementation, and quality assurance workflows that adapt to project complexity.

BMad Method’s intelligent workflow orchestration that automatically adjusts planning depth, documentation requirements, and implementation processes based on project needs through three distinct planning tracks (Quick Flow, BMad Method, Enterprise Method).

A specialized AI persona with specific expertise (PM, Architect, SM, DEV, TEA) that guides users through workflows and creates deliverables. Agents have defined capabilities, communication styles, and workflow access.

A multi-step guided process that orchestrates AI agent activities to produce specific deliverables. Workflows are interactive and adapt to user context.


Fast implementation track using tech-spec planning only. Best for bug fixes, small features, and changes with clear scope. Typical range: 1-15 stories. No architecture phase needed. Examples: bug fixes, OAuth login, search features.

Full product planning track using PRD + Architecture + UX. Best for products, platforms, and complex features requiring system design. Typical range: 10-50+ stories. Examples: admin dashboards, e-commerce platforms, SaaS products.

Extended enterprise planning track adding Security Architecture, DevOps Strategy, and Test Strategy to BMad Method. Best for enterprise requirements, compliance needs, and multi-tenant systems. Typical range: 30+ stories. Examples: multi-tenant platforms, compliance-driven systems, mission-critical applications.

The methodology path (Quick Flow, BMad Method, or Enterprise Method) chosen for a project based on planning needs, complexity, and requirements rather than story count alone.

Note: Story counts are guidance, not definitions. Tracks are determined by what planning the project needs, not story math.


Quick Flow track only. Comprehensive technical plan created upfront that serves as the primary planning document for small changes or features. Contains problem statement, solution approach, file-level changes, stack detection (brownfield), testing strategy, and developer resources.

BMad Method/Enterprise tracks. Product-level planning document containing vision, goals, Functional Requirements (FRs), Non-Functional Requirements (NFRs), success criteria, and UX considerations. Replaces tech-spec for larger projects that need product planning. V6 Note: PRD focuses on WHAT to build (requirements). Epic+Stories are created separately AFTER architecture via create-epics-and-stories workflow.

BMad Method/Enterprise tracks. System-wide design document defining structure, components, interactions, data models, integration patterns, security, performance, and deployment.

Scale-Adaptive: Architecture complexity scales with track - BMad Method is lightweight to moderate, Enterprise Method is comprehensive with security/devops/test strategies.

High-level feature groupings that contain multiple related stories. Typically span 5-15 stories each and represent cohesive functionality (e.g., “User Authentication Epic”).

Optional strategic planning document created in Phase 1 (Analysis) that captures product vision, market context, user needs, and high-level requirements before detailed planning.

Game development equivalent of PRD, created by Game Designer agent for game projects. Comprehensive document detailing all aspects of game design: mechanics, systems, content, and more.

Document capturing the game’s core vision, pillars, target audience, and scope. Foundation for the GDD.


Conditional phase for brownfield projects. Creates comprehensive codebase documentation before planning. Only required if existing documentation is insufficient for AI agents.

Discovery and research phase including brainstorming, research workflows, and product brief creation. Optional for Quick Flow, recommended for BMad Method, required for Enterprise Method.

Always required. Creates formal requirements and work breakdown. Routes to tech-spec (Quick Flow) or PRD (BMad Method/Enterprise) based on selected track.

Architecture design phase. Required for BMad Method and Enterprise Method tracks. Includes architecture creation, validation, and gate checks.

Sprint-based development through story-by-story iteration. Uses sprint-planning, create-story, dev-story, code-review, and retrospective workflows.

Fast-track workflow system for Quick Flow track projects that goes straight from idea to tech-spec to implementation, bypassing heavy planning. Designed for bug fixes, small features, and rapid prototyping.


Agent responsible for creating PRDs, tech-specs, and managing product requirements. Primary agent for Phase 2 planning.

Agent that initializes workflows, conducts research, creates product briefs, and tracks progress. Often the entry point for new projects.

Agent that designs system architecture, creates architecture documents, performs technical reviews, and validates designs. Primary agent for Phase 3 solutioning.

Agent that manages sprints, creates stories, generates contexts, and coordinates implementation. Primary orchestrator for Phase 4 implementation.

Agent that implements stories, writes code, runs tests, and performs code reviews. Primary implementer in Phase 4.

Agent responsible for test strategy, quality gates, NFR assessment, and comprehensive quality assurance. Integrates throughout all phases.

Agent specialized in creating and maintaining high-quality technical documentation. Expert in documentation standards, information architecture, and professional technical writing.

Agent that creates UX design documents, interaction patterns, and visual specifications for UI-heavy projects.

Specialized agent for game development projects. Creates game design documents (GDD) and game-specific workflows.

Agent that designs game system architecture, creates technical architecture for games, and validates game-specific designs.

Meta-level orchestrator agent from BMad Core. Facilitates party mode, lists available tasks and workflows, and provides high-level guidance across all modules.

Multi-agent collaboration feature where all installed agents discuss challenges together in real-time. BMad Master orchestrates, selecting 2-3 relevant agents per message for natural cross-talk and debate. Best for strategic decisions, creative brainstorming, cross-functional alignment, and complex problem-solving.


Phases 1-3. Tracking file that shows current phase, completed workflows, progress, and next recommended actions. Created by workflow-init, updated automatically.

Phase 4 only. Single source of truth for implementation tracking. Contains all epics, stories, and retrospectives with current status for each. Created by sprint-planning, updated by agents.

backlog → ready-for-dev → in-progress → review → done
  • backlog - Story exists in epic but not yet created
  • ready-for-dev - Story file created via create-story; validation is optional
  • in-progress - DEV is implementing via dev-story
  • review - Implementation complete, awaiting code-review
  • done - Completed with DoD met
backlog → in-progress → done
  • backlog - Epic not yet started
  • in-progress - Epic actively being worked on
  • done - All stories in epic completed

Workflow run after completing each epic to capture learnings, identify improvements, and feed insights into next epic planning. Critical for continuous improvement.


New project starting from scratch with no existing codebase. Freedom to establish patterns, choose stack, and design from clean slate.

Existing project with established codebase, patterns, and constraints. Requires understanding existing architecture, respecting established conventions, and planning integration with current systems.

Critical: Brownfield projects should run document-project workflow BEFORE planning to ensure AI agents have adequate context about existing code.

Brownfield prerequisite. Analyzes and documents existing codebase, creating comprehensive documentation including project overview, architecture analysis, source tree, API contracts, and data models. Three scan levels: quick, deep, exhaustive.


Single unit of implementable work with clear acceptance criteria, typically 2-8 hours of development effort. Stories are grouped into epics and tracked in sprint-status.yaml.

Markdown file containing story details: description, acceptance criteria, technical notes, dependencies, implementation guidance, and testing requirements.

Implementation guidance embedded within story files during the create-story workflow. Provides implementation-specific context, references existing patterns, suggests approaches, and helps maintain consistency with established codebase conventions.

Workflow that initializes Phase 4 implementation by creating sprint-status.yaml, extracting all epics/stories from planning docs, and setting up tracking infrastructure.

Time-boxed period of development work, typically 1-2 weeks.

Validation workflow (implementation-readiness) run before Phase 4 to ensure PRD + Architecture + Epics + UX (optional) are aligned with no gaps or contradictions. Required for BMad Method and Enterprise Method tracks.

Criteria that must be met before marking a story as done. Typically includes: implementation complete, tests written and passing, code reviewed, documentation updated, and acceptance criteria validated.

For runtime LLM optimization only (NOT human docs). Splitting large planning documents (PRD, epics, architecture) into smaller section-based files to improve workflow efficiency. Phase 1-3 workflows load entire sharded documents transparently. Phase 4 workflows selectively load only needed sections for massive token savings.


The emotional experience players seek from your game. What they want to FEEL.

The fundamental cycle of actions players repeat throughout gameplay. The heart of your game.

Core principle that guides all design decisions. Typically 3-5 pillars define a game’s identity.

Genre classification that determines which specialized GDD sections are included.

How central story is to the game experience:

  • Critical - Story IS the game (visual novels)
  • Heavy - Deep narrative with gameplay (RPGs)
  • Moderate - Meaningful story supporting gameplay
  • Light - Minimal story, gameplay-focused

Narrative communicated through the game world itself—visual details, audio, found documents—rather than explicit dialogue.

Mechanics → Dynamics → Aesthetics. Framework for analyzing and designing games.

Algorithmic creation of game content (levels, items, characters) rather than hand-crafted.

Genre featuring procedural generation, permadeath, and run-based progression.

Genre featuring interconnected world exploration with ability-gated progression.

Persistent progression that carries between individual runs or sessions.

Game mechanic where character death is permanent, typically requiring a new run.

The degree to which players can make meaningful choices that affect outcomes.


Universal entry point workflow that checks for existing status file, displays current phase/progress, and recommends next action based on project state.

Initialization workflow that creates bmm-workflow-status.yaml, detects greenfield vs brownfield, determines planning track, and sets up appropriate workflow path.

Automatic analysis by workflow-init that uses keyword analysis, complexity indicators, and project requirements to suggest appropriate track (Quick Flow, BMad Method, or Enterprise Method). User can override suggested track.

Workflow run during Phase 4 when significant changes or issues arise. Analyzes impact, proposes solutions, and routes to appropriate remediation workflows.

Implementation technique for brownfield projects that allows gradual rollout of new functionality, easy rollback, and A/B testing. Recommended for BMad Method and Enterprise brownfield changes.

Specific locations where new code connects with existing systems. Must be documented explicitly in brownfield tech-specs and architectures.

Quick Spec Flow feature that automatically detects existing code style, naming conventions, patterns, and frameworks from brownfield codebases, then asks user to confirm before proceeding.