Subdomain Identification & Bounded Context Analysis
This skill analyzes codebases to identify subdomains (Core, Supporting, Generic) and suggest bounded contexts following Domain-Driven Design Strategic Design principles.
When to Use
Apply this skill when:
- Analyzing domain boundaries in any codebase
- Identifying Core, Supporting, and Generic subdomains
- Mapping bounded contexts from problem space to solution space
- Assessing domain cohesion and detecting coupling issues
- Planning domain-driven refactoring
- Understanding business capabilities in code
Core Principles
Subdomain Classification
Core Domain: Competitive advantage, highest business value, requires best developers
- Indicators: Complex business logic, frequent changes, domain experts needed
Supporting Subdomain: Essential but not differentiating, business-specific
- Indicators: Supports Core Domain, moderate complexity, business-specific rules
Generic Subdomain: Common functionality, could be outsourced
- Indicators: Well-understood problem, low differentiation, standard functionality
Bounded Context
An explicit linguistic boundary where domain terms have specific, unambiguous meanings.
- Primary nature: Linguistic boundary, not technical
- Key rule: Inside boundary, all Ubiquitous Language terms are unambiguous
- Goal: Align 1 subdomain to 1 bounded context (ideal)
Analysis Process
Phase 1: Extract Concepts
Scan codebase for business concepts (not infrastructure):
-
Entities (domain models with identity)
- Patterns:
@Entity,class, domain models - Focus: Business concepts, not technical classes
- Patterns:
-
Services (business operations)
- Patterns:
*Service,*Manager,*Handler - Focus: Business logic, not technical utilities
- Patterns:
-
Use Cases (business workflows)
- Patterns:
*UseCase,*Command,*Handler - Focus: Business processes, not CRUD
- Patterns:
-
Controllers/Resolvers (entry points)
- Patterns:
*Controller,*Resolver, API endpoints - Focus: Business capabilities, not technical routes
- Patterns:
Phase 2: Group by Ubiquitous Language
For each concept, determine:
Primary Language Context
- What business vocabulary does this belong to?
- Examples:
Subscription,Invoice,Payment→ Billing languageMovie,Video,Episode→ Content languageUser,Authentication→ Identity language
Linguistic Boundaries
- Where do term meanings change?
- Same term, different meaning = different bounded context
- Example: "Customer" in Sales vs "Customer" in Support
Concept Relationships
- Which concepts naturally belong together?
- Which share business vocabulary?
- Which reference each other?
Phase 3: Identify Subdomains
A subdomain has:
- Distinct business capability
- Independent business value
- Unique vocabulary
- Multiple related entities working together
- Cohesive set of business operations
Common Domain Patterns:
- Billing/Subscription: Payments, invoices, plans
- Content/Catalog: Media, products, inventory
- Identity/Access: Users, authentication, authorization
- Analytics: Metrics, dashboards, insights
- Notifications: Messages, alerts, communications
Classify Each Subdomain:
Use this decision tree:
Is it a competitive advantage? YES → Core Domain NO → Does it require business-specific knowledge? YES → Supporting Subdomain NO → Generic Subdomain
Phase 4: Assess Cohesion
High Cohesion Indicators ✅
- Concepts share Ubiquitous Language
- Concepts frequently used together
- Direct business relationships
- Changes to one affect others in group
- Solve same business problem
Low Cohesion Indicators ❌
- Different business vocabularies mixed
- Concepts rarely used together
- No direct business relationship
- Changes don't affect others
- Solve different business problems
Cohesion Score Formula:
Score = ( Linguistic Cohesion (0-3) + // Shared vocabulary Usage Cohesion (0-3) + // Used together Data Cohesion (0-2) + // Entity relationships Change Cohesion (0-2) // Change together ) / 10 8-10: High Cohesion ✅ 5-7: Medium Cohesion ⚠️ 0-4: Low Cohesion ❌
Phase 5: Detect Low Cohesion Issues
Rule 1: Linguistic Mismatch
- Problem: Different business vocabularies mixed
- Example:
User(identity) +Subscription(billing) in same service - Action: Suggest separation into different bounded contexts
Rule 2: Cross-Domain Dependencies
- Problem: Tight coupling between domains
- Example: Service A directly instantiates entities from Domain B
- Action: Suggest interface-based integration
Rule 3: Mixed Responsibilities
- Problem: Single class handles multiple business concerns
- Example: Service handling both billing and content
- Action: Suggest splitting by subdomain
Rule 4: Generic in Core
- Problem: Generic functionality in core business logic
- Example: Email sending in billing service
- Action: Extract to Generic Subdomain
Rule 5: Unclear Boundaries
- Problem: Cannot determine which domain concept belongs to
- Example: Entity with relationships to multiple domains
- Action: Clarify boundaries, possibly split concept
Phase 6: Map Bounded Contexts
For each subdomain identified, suggest bounded context:
Bounded Context Characteristics:
- Name reflects Ubiquitous Language
- Contains complete domain model
- Has explicit integration points
- Clear linguistic boundary
Integration Patterns:
- Shared Kernel: Shared model between contexts (use sparingly)
- Customer/Supplier: Downstream depends on upstream
- Conformist: Downstream conforms to upstream
- Anti-corruption Layer: Translation layer between contexts
- Open Host Service: Published interface for integration
- Published Language: Well-documented integration protocol
Output Format
Domain Map
For each domain/subdomain:
markdown## Domain: {Name} **Type**: Core Domain | Supporting Subdomain | Generic Subdomain **Ubiquitous Language**: {key business terms} **Business Capability**: {what business problem it solves} **Key Concepts**: - {Concept} (Entity|Service|UseCase) - {brief description} **Subdomains** (if applicable): 1. {Subdomain} (Core|Supporting|Generic) - Concepts: {list} - Cohesion: {score}/10 - Dependencies: → {other domains} **Suggested Bounded Context**: {Name}Context - Linguistic boundary: {where terms have specific meaning} - Integration: {how it should integrate with other contexts} **Dependencies**: - → {OtherDomain} via {interface/API} - ← {OtherDomain} via {interface/API} **Cohesion Score**: {score}/10
Cohesion Matrix
markdown## Cross-Domain Cohesion | Domain A | Domain B | Cohesion | Issue | Recommendation | | -------- | -------- | -------- | ------------------ | ----------------------- | | Billing | Identity | 2/10 | ❌ Direct coupling | Use interface | | Content | Billing | 6/10 | ⚠️ Usage tracking | Event-based integration |
Low Cohesion Report
markdown## Issues Detected ### Priority: High **Issue**: {description} - **Location**: {file/class/method} - **Problem**: {what's wrong} - **Concepts**: {involved concepts} - **Cohesion**: {score}/10 - **Recommendation**: {suggested fix} ### Priority: Medium {similar format}
Bounded Context Map
markdown## Suggested Bounded Contexts ### {ContextName}Context **Contains Subdomains**: - {Subdomain1} (Core) - {Subdomain2} (Supporting) **Ubiquitous Language**: - Term: Definition in this context **Integration Requirements**: - Consumes from: {OtherContext} via {pattern} - Publishes to: {OtherContext} via {pattern} **Implementation Notes**: - Separate persistence - Independent deployment - Explicit API boundaries
Best Practices
Do's ✅
- Focus on business language, not code structure
- Let Ubiquitous Language guide boundaries
- Measure cohesion objectively
- Identify clear integration points
- Classify every subdomain (Core/Supporting/Generic)
- Look for linguistic boundaries first
Don'ts ❌
- Don't group by technical layers
- Don't force single global model
- Don't ignore linguistic differences
- Don't couple domains directly
- Don't create contexts by architecture
- Don't eliminate all dependencies (some are necessary)
Analysis Checklist
For Each Concept:
- What business language does it belong to?
- What domain/subdomain is it part of?
- Is it Core, Supporting, or Generic?
- What other concepts does it relate to?
- Are dependencies within same domain?
- Any linguistic mismatches?
For Each Domain:
- What is the Ubiquitous Language?
- What are the key concepts?
- What are the subdomains?
- Which is the Core Domain?
- What are cross-domain dependencies?
- Is internal cohesion high?
- Are boundaries clear?
For Cohesion Analysis:
- Calculate cohesion scores
- Identify low cohesion areas
- Map cross-domain dependencies
- Flag linguistic mismatches
- Note tight coupling
- Suggest boundary clarifications
Quick Reference
Subdomain Decision Tree
Analyze business capability └─ Is it competitive advantage? ├─ YES → Core Domain └─ NO → Is it business-specific? ├─ YES → Supporting Subdomain └─ NO → Generic Subdomain
Cohesion Quick Check
Same vocabulary? → High linguistic cohesion Used together? → High usage cohesion Direct relationships? → High data cohesion Change together? → High change cohesion All high → Strong subdomain candidate Mix of high/low → Review boundaries All low → Likely wrong grouping
Bounded Context Signals
Clear boundary signs: ✅ Distinct Ubiquitous Language ✅ Concepts have unambiguous meaning ✅ Different meanings across contexts ✅ Clear integration points Unclear boundary signs: ❌ Same terms with same meanings everywhere ❌ Concepts used identically across system ❌ No clear linguistic differences ❌ Tight coupling everywhere
Anti-Patterns to Avoid
Big Ball of Mud
- Everything connected to everything
- No clear boundaries
- Mixed vocabularies
- Prevention: Explicit bounded contexts
All-Inclusive Model
- Single model for entire business
- Impossible global definitions
- Creates conflicts
- Prevention: Embrace multiple contexts
Mixed Linguistic Concepts
- Different vocabularies in same context
- Example: User/Permission with Forum/Post
- Prevention: Keep linguistic associations
Notes
- This is strategic analysis, not tactical implementation
- Focus on WHAT domains exist, not HOW to implement
- Some cross-domain dependencies are normal
- Low cohesion doesn't always mean "bad," it means "needs attention"
- Generic Subdomains naturally have lower cohesion
- Always validate with domain experts when possible
Validation Criteria
Good domain identification has:
- ✅ Clear boundaries with distinct Ubiquitous Language
- ✅ High internal cohesion within domains
- ✅ Explicit cross-domain dependencies
- ✅ Business alignment with capabilities
- ✅ Actionable recommendations for issues

