codewithmukesh/dotnet-claude-kit

architecture-advisor

Architecture selection advisor for .NET applications.

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Architecture Advisor

Core Principles

  1. Ask before recommending — Never prescribe an architecture without understanding the project. Run the questionnaire first to gather context about domain, team, lifetime, and constraints.
  2. Right-size the architecture — The best architecture is the simplest one that handles the project's actual complexity. CRUD apps do not need DDD. Startups do not need Clean Architecture. Match complexity to real requirements, not aspirations.
  3. Architecture is not permanent — Every architecture has an evolution path. Start simple and add structure when complexity demands it. Document the decision so the team knows when to evolve.
  4. Four supported architectures — dotnet-claude-kit provides first-class patterns for Vertical Slice Architecture (VSA), Clean Architecture (CA), DDD + Clean Architecture, and Modular Monolith. Each has specific strengths and trade-offs.

The Architecture Questionnaire

Before recommending an architecture, ask questions across these 6 categories. Not every question applies to every project — skip irrelevant ones.

Category 1: Domain Complexity

#QuestionLow SignalHigh Signal
1How many distinct business entities does the system manage?< 10 entities20+ entities with relationships
2Do business rules involve multiple entities interacting?Rules are per-entity CRUDComplex invariants across entity groups
3Are there business workflows with multiple steps?Simple request → responseSagas, approval chains, state machines
4Do domain experts use specialized vocabulary?Generic terms (create, update)Ubiquitous language (underwrite, adjudicate)

Category 2: Team & Organization

#QuestionLow SignalHigh Signal
5How large is the development team?1-3 developers8+ developers, multiple teams
6Do different teams own different parts of the system?Single team owns everythingTeams aligned to business domains
7What is the team's experience level with .NET?Junior or mixedSenior, experienced with patterns

Category 3: System Lifetime & Scale

#QuestionLow SignalHigh Signal
8Expected system lifetime?< 2 years, MVP/prototype5+ years, long-lived product
9How many concurrent users or requests per second?< 100 RPS1000+ RPS, variable load
10Will the system need to scale independently by feature area?Uniform loadHot spots need independent scaling

Category 4: Regulatory & Compliance

#QuestionLow SignalHigh Signal
11Are there audit trail or compliance requirements?Basic logging sufficientFull audit trail, SOX/HIPAA/PCI
12Do different parts of the system have different security boundaries?Single auth boundaryMulti-tenant, data isolation

Category 5: Existing Codebase

#QuestionLow SignalHigh Signal
13Is this greenfield or brownfield?Greenfield, starting freshBrownfield, migrating from legacy
14Are there existing architectural patterns the team follows?No established patternsStrong conventions in place

Category 6: Integration Complexity

#QuestionLow SignalHigh Signal
15How many external systems does this integrate with?0-2 simple APIs5+ systems with complex contracts
16Are there event-driven or async communication needs?Synchronous request/responseEvent sourcing, pub/sub, eventual consistency

Decision Matrix

Map questionnaire answers to architecture recommendations:

ProfileRecommended ArchitectureWhy
Low domain complexity, small team, short lifetimeVertical Slice ArchitectureMinimal ceremony, fast feature delivery, easy to understand
Low-medium domain complexity, any team size, API-focusedVertical Slice ArchitectureFeature cohesion, one file per operation, natural fit for minimal APIs
Medium domain complexity, medium team, long lifetimeClean ArchitectureEnforced boundaries via project references, testable domain, clear dependency direction
High domain complexity, specialized vocabulary, complex invariantsDDD + Clean ArchitectureAggregates protect invariants, value objects model domain concepts, domain events decouple side effects
Multiple bounded contexts, team-per-domain, independent deployment potentialModular MonolithModule isolation, independent data stores, evolution path to microservices
Brownfield with existing layered architectureClean ArchitectureFamiliar to teams coming from N-tier, preserves layer separation with better dependency direction

When Signals Conflict

If signals point to different architectures:

  1. Default to simpler — When in doubt, start with VSA and evolve
  2. Domain complexity wins — High domain complexity overrides team size and lifetime signals
  3. Team familiarity matters — A team experienced with CA will be more productive with CA than learning VSA, even if VSA is technically simpler
  4. Compliance drives structure — Regulatory requirements often force stricter boundaries (CA or DDD)

Patterns

Vertical Slice Architecture (VSA)

Organize by feature, not by layer. Each operation is a self-contained slice.

src/MyApp.Api/
  Features/
    Orders/CreateOrder.cs    # Request + Handler + Response + Endpoint
    Orders/GetOrder.cs
  Common/
    Behaviors/ValidationBehavior.cs
    Persistence/AppDbContext.cs

Best for: CRUD-heavy apps, APIs, MVPs, small-medium teams, short-medium lifetime. Load skill: vertical-slice

Clean Architecture (CA)

Concentric layers with dependency inversion. Domain at the center, infrastructure at the edge.

src/
  MyApp.Domain/              # Entities, interfaces, domain logic
  MyApp.Application/         # Use cases, DTOs, validation
  MyApp.Infrastructure/      # EF Core, external services
  MyApp.Api/                 # Endpoints, middleware

Best for: Medium complexity, long-lived systems, teams familiar with layered patterns. Load skill: clean-architecture

DDD + Clean Architecture

Clean Architecture with tactical DDD patterns: aggregates, value objects, domain events.

src/
  MyApp.Domain/              # Aggregates, value objects, domain events, domain services
  MyApp.Application/         # Use cases orchestrating aggregates
  MyApp.Infrastructure/      # Persistence, external service adapters
  MyApp.Api/                 # Thin endpoints

Best for: Complex domains, specialized vocabulary, strict invariants, experienced teams. Load skill: ddd + clean-architecture

Modular Monolith

Independent modules in a single deployable unit, each with its own architecture internally.

src/
  MyApp.Host/                # Wires modules together
  Modules/
    Orders/                  # Own features, own DbContext, own architecture
    Catalog/                 # Can use VSA, CA, or DDD internally
  MyApp.Shared/              # Integration event contracts only

Best for: Multiple bounded contexts, team-per-domain, future microservices extraction. Load template: modular-monolith

Evolution Paths

Architecture is not a one-time decision. Systems evolve. Here are the common migration paths:

FromToTriggerHow
VSACADomain logic growing beyond handlersExtract Domain + Application layers, keep features as use cases
VSAModular MonolithMultiple bounded contexts emergingGroup features into modules, add module boundaries
CADDD + CAInvariants becoming complex, primitive obsessionIntroduce aggregates, value objects, domain events
MonolithModular MonolithTeams stepping on each other, shared database couplingSplit into modules with own DbContexts and schemas
Modular MonolithMicroservicesIndependent scaling needs, independent deploymentExtract modules into separate deployable services

Anti-patterns

Picking Clean Architecture for a CRUD App

// BAD — 4 projects, 6+ files per feature for simple CRUD
src/MyApp.Domain/Entities/Product.cs
src/MyApp.Application/Products/CreateProduct/CreateProductCommand.cs
src/MyApp.Application/Products/CreateProduct/CreateProductHandler.cs
src/MyApp.Application/Products/CreateProduct/CreateProductValidator.cs
src/MyApp.Infrastructure/Persistence/ProductRepository.cs
src/MyApp.Api/Endpoints/ProductEndpoints.cs

// GOOD — VSA: 1 file for a simple CRUD feature
src/MyApp.Api/Features/Products/CreateProduct.cs

DDD Everywhere

// BAD — value objects and aggregates for a settings table
public class UserSettings : AggregateRoot  // overkill
{
    public ThemeName Theme { get; private set; }  // value object for "dark"/"light"?
    public void ChangeTheme(ThemeName theme) { /* domain event? really? */ }
}

// GOOD — simple entity for simple data
public class UserSettings
{
    public Guid UserId { get; init; }
    public string Theme { get; set; } = "light";
}

Premature Microservices

// BAD — splitting into 5 microservices on day one with 2 developers
OrderService (own repo, own DB, own CI/CD)
CatalogService (own repo, own DB, own CI/CD)
IdentityService (own repo, own DB, own CI/CD)
NotificationService (own repo, own DB, own CI/CD)
GatewayService (own repo, own CI/CD)

// GOOD — start as a modular monolith, extract when you have evidence
src/
  Modules/Orders/
  Modules/Catalog/
  Modules/Identity/
  Modules/Notifications/

Skipping the Questionnaire

// BAD — "I always use Clean Architecture"
User: "Set up a new project for a todo app"
Agent: *immediately scaffolds 4-project CA solution*

// GOOD — ask first, then recommend
User: "Set up a new project for a todo app"
Agent: "Let me ask a few questions about your project to recommend the best architecture..."
Agent: *runs questionnaire, recommends VSA for low-complexity app*

Decision Guide

ScenarioRecommendation
New project, unknown requirementsRun the questionnaire
Simple CRUD API, 1-3 developersVSA
Medium complexity, long-lived, experienced teamClean Architecture
Complex domain, specialized vocabularyDDD + Clean Architecture
Multiple bounded contexts, multiple teamsModular Monolith
Existing N-tier codebase, needs modernizationClean Architecture (familiar migration)
MVP / startup, speed is priorityVSA
Regulatory / compliance-heavyClean Architecture or DDD (enforced boundaries)
Will need independent scaling laterModular Monolith (extraction-ready)
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