---
id: wiki-2026-0508-뇌와-팔다리의-분리-관심사의-분리-separation-of
title: Separation of Concerns (관심사의 분리)
category: 10_Wiki/Topics
status: verified
canonical_id: self
aliases: [SoC, 관심사의 분리, separation of concerns, modularity, decoupling, brain-limbs]
duplicate_of: none
source_trust_level: B
confidence_score: 0.85
verification_status: conceptual
tags: [architecture, design-principles, modularity, decoupling, srp, hexagonal, ddd, ai-agent-design]
raw_sources: []
last_reinforced: 2026-05-09
github_commit: pending
inferred_by: Claude Opus 4.7 (manual cleanup 2026-05-09)
tech_stack:
language: TS / Python / generic
applicable_to: [Software Architecture, AI Agent, System Design]
---
# Separation of Concerns (관심사의 분리)
## 📌 한 줄 통찰 (The Karpathy Summary)
> **"매 module 의 own 역할 — 1 reason to change"**. Dijkstra 1974. SRP / DDD bounded context / hexagonal / module boundary 의 base. **AI agent 의 decision loop + execution tool 의 분리 의 modern 응용**.
## 📖 구조화된 지식 (Synthesized Content)
### 정의
**Edsger Dijkstra (1974)** "On the role of scientific thought":
> "Separation of concerns... is what I sometimes have called 'the focusing of attention upon some aspect': it does not mean ignoring the other aspects, it is just that from this aspect's point of view, the other is irrelevant."
→ 매 aspect 의 focus + 매 다른 aspect 의 irrelevant.
### 핵심 idea
1. **Modularity**: 매 module 의 specific responsibility.
2. **Decoupling**: 매 change 의 ripple ↓.
3. **Boundaries**: 매 concern 의 explicit boundary.
4. **Maintainability**: 매 code 의 understand + modify.
### "뇌와 팔다리"
- **뇌 (decision)**: business logic, strategy.
- **팔다리 (execution)**: tool, IO, side effect.
→ 매 brain 의 단일 logic. 매 limb 의 swap 가능.
### 매 응용
#### MVC (Model-View-Controller)
- **Model**: data + business rule.
- **View**: presentation.
- **Controller**: input + flow.
#### Hexagonal / Clean Architecture
- **Domain**: business rule (core).
- **Application**: use case.
- **Infrastructure**: DB, API, UI.
→ 매 inner 의 outer 무관. 매 outer 의 swap.
#### DDD (Domain-Driven Design)
- **Bounded Context**: 매 domain 의 own model.
- 매 different context 의 own language.
- 매 ACL (Anti-Corruption Layer) 의 boundary.
#### Microservices
- 매 service 의 own responsibility.
- 매 service 의 own DB.
- 매 service 의 own deploy.
#### Single Responsibility Principle (SRP)
- 매 class / module 의 1 reason to change.
- 매 specific actor / use case 의 own.
### 매 game design
#### Game logic vs rendering
- **Game logic**: rule, state, behavior.
- **Rendering**: visual, animation.
→ 매 server (no rendering) + 매 client (rendering only).
#### AI vs game state
- **AI**: decision (behavior tree, FSM).
- **Game state**: data.
→ 매 AI 의 different (player, enemy, NPC) + 매 same data structure.
### 매 AI agent
#### Decision loop vs execution
**옛 monolithic**: 매 logic + execution mixed.
```python
def agent_loop():
# Logic + tool call mixed
if some_condition:
result = direct_db_query(...)
elif other:
result = direct_api_call(...)
return decide(result)
```
**현대 SoC**: 매 decision 의 LLM, 매 tool 의 separate.
```python
class Agent:
def think(self, context):
# 매 reasoning (no side effect)
return llm.complete(context)
def execute(self, action):
# 매 tool call (no reasoning)
return self.tools[action.name](action.input)
def loop(self):
while not done:
decision = self.think(context)
result = self.execute(decision.action)
context = update(context, result)
```
→ 매 brain (LLM) + 매 limb (tool) 의 swap 가능.
### 매 모범 example
#### React component
```tsx
// ❌ Mixed
function UserProfile({ userId }) {
const [user, setUser] = useState(null);
useEffect(() => {
fetch(`/api/users/${userId}`)
.then(r => r.json())
.then(data => {
const formatted = `${data.firstName} ${data.lastName.toUpperCase()}`;
setUser({ ...data, fullName: formatted });
});
}, [userId]);
return user ?
{user.fullName}
: ;
}
// ✅ Separated
function useUser(userId) {
return useQuery(['user', userId], () => api.getUser(userId));
}
function formatUser(user) {
return { ...user, fullName: `${user.firstName} ${user.lastName.toUpperCase()}` };
}
function UserProfile({ userId }) {
const { data: user, isLoading } = useUser(userId);
if (isLoading) return ;
return {formatUser(user).fullName}
;
}
```
→ 매 fetching (hook) + 매 formatting (function) + 매 rendering (component) 의 분리.
#### Backend API
```python
# ❌ Mixed
@app.post('/orders')
def create_order(req):
user = db.execute('SELECT ... FROM users WHERE id = ?', req.user_id).fetchone()
if user.balance < req.total: return 400
db.execute('INSERT INTO orders ...')
db.execute('UPDATE users SET balance = ?', user.balance - req.total)
send_email(user.email, 'Order confirmed')
return 200
# ✅ Separated
@app.post('/orders')
def create_order(req): # HTTP layer
return order_service.create(req)
class OrderService: # Business logic
def __init__(self, user_repo, order_repo, email):
self.users = user_repo
self.orders = order_repo
self.email = email
def create(self, req):
user = self.users.find(req.user_id)
if user.balance < req.total: raise InsufficientFundsError()
order = self.orders.create(...)
self.users.deduct_balance(req.user_id, req.total)
self.email.send_confirmation(user.email, order)
return order
class UserRepository: # Data access
def find(self, user_id): ...
def deduct_balance(self, user_id, amount): ...
```
→ 매 HTTP / business / data 의 layer 별 분리.
### 매 SoC 의 limit
#### Over-engineering
- 매 small project 의 9-layer architecture = boilerplate.
- 매 explicit boundary 의 cost.
#### Coordination cost
- 매 cross-concern feature 의 매 module 의 touch.
- 매 small change 의 5 file.
#### Pure SoC 의 myth
- 매 real system 의 some coupling.
- 매 perfect 의 X.
→ Pragmatic SoC + 매 case-by-case.
### Modern decision
#### Modular monolith first
- 매 module 의 boundary.
- 매 explicit 1 deploy.
- 매 team 의 ownership.
- 매 future 의 microservice 의 가능.
→ Microservice premature 의 avoid.
#### 매 function (FaaS) extreme
- 매 function 의 own deploy.
- 매 cold start cost.
- 매 distributed 의 complexity.
→ 매 large org 만.
#### 매 monolith with internal SoC
- 매 1 codebase + 매 module / package boundary.
- 매 lint rule (ESLint boundary).
- 매 explicit interface.
→ 매 most common modern.
## 💻 코드 패턴 (Code Patterns)
### Module boundary (TS)
```ts
// modules/users/index.ts
export { User } from './domain/User';
export { UserService } from './application/UserService';
// 매 internal 가 not export
// modules/orders/application/OrderService.ts
import { UserService } from '../../users'; // ✅ public
import { internal } from '../../users/domain/secret'; // ❌ ban
```
### ESLint boundary plugin
```json
// .eslintrc.json
{
"plugins": ["boundaries"],
"rules": {
"boundaries/element-types": ["error", {
"default": "disallow",
"rules": [
{ "from": "feature/*/ui", "allow": ["feature/*/api"] },
{ "from": "feature/*/api", "allow": ["shared"] }
]
}]
}
}
```
### Dependency injection (FastAPI)
```python
from fastapi import Depends
def get_user_repo() -> UserRepository:
return UserRepository(db)
def get_order_service(user_repo = Depends(get_user_repo)) -> OrderService:
return OrderService(user_repo, ...)
@app.post('/orders')
def create_order(req: CreateOrderReq, service: OrderService = Depends(get_order_service)):
return service.create(req)
```
### Hexagonal port + adapter (TS)
```ts
// Domain (port)
interface PaymentGateway {
charge(amount: Money, card: CardToken): Promise;
}
// Adapter
class StripeGateway implements PaymentGateway {
async charge(amount, card) { /* Stripe */ }
}
class FakeGateway implements PaymentGateway {
async charge(amount, card) { /* test */ }
}
// Service
class CheckoutService {
constructor(private gateway: PaymentGateway) {}
async checkout(...) {
const payment = await this.gateway.charge(...);
}
}
// Wiring
const service = new CheckoutService(new StripeGateway());
```
→ 매 production = Stripe, 매 test = Fake. 매 service 의 unchanged.
### AI agent decision / execution
```python
class Agent:
def __init__(self, llm, tools: dict):
self.llm = llm
self.tools = tools
def think(self, context):
"""Pure decision (no side effect)."""
return self.llm.complete(
system="You are an agent. Decide next action.",
user=context,
tools=list(self.tools.keys()),
)
def execute(self, action):
"""Pure execution (no decision)."""
if action.name not in self.tools:
raise UnknownTool(action.name)
return self.tools[action.name](action.input)
def loop(self, task, max_steps=10):
context = task
for _ in range(max_steps):
decision = self.think(context)
if decision.is_done: return decision.answer
result = self.execute(decision.action)
context += f"\n{decision.action.name} returned: {result}"
raise MaxStepsExceeded()
```
→ 매 brain (LLM swap 가능) + 매 limb (tool swap).
### Game logic (Unity ECS-like)
```csharp
// ❌ Mixed
public class Player : MonoBehaviour {
int health = 100;
void Update() {
// Input
if (Input.GetKey(KeyCode.W)) transform.position += Vector3.forward * Time.deltaTime;
// Combat
if (Physics.OverlapSphere(transform.position, 1).Length > 0) health -= 10;
// Render
GetComponent().material.color = health < 30 ? Color.red : Color.white;
}
}
// ✅ Separated systems
public class InputSystem { void Update() {} }
public class MovementSystem { void Update() {} }
public class CombatSystem { void Update() {} }
public class RenderSystem { void Update() {} }
// 매 component 의 only data
public struct Health { public int value; }
public struct Position { public Vector3 value; }
```
→ 매 system 의 own update. 매 component 의 only data.
### React feature folder
```
src/features/
├── auth/
│ ├── api/ # data layer
│ ├── domain/ # business rule
│ ├── ui/ # component
│ └── index.ts # public API
├── orders/
│ └── ...
└── shared/ # cross-cutting
```
→ 매 feature 의 own slice. 매 internal 의 own.
### Redux slice (state management)
```ts
// 매 feature 의 own slice
const authSlice = createSlice({
name: 'auth',
initialState,
reducers: {
login: (state, action) => { ... },
logout: (state) => { ... },
},
});
const userSlice = createSlice({
name: 'user',
initialState,
reducers: { ... },
});
// 매 slice 의 internal. 매 selector 의 cross-slice.
```
### Test의 SoC
```ts
// Unit (logic only)
test('formatUser', () => {
expect(formatUser({ firstName: 'Alice', lastName: 'doe' }))
.toEqual({ firstName: 'Alice', lastName: 'doe', fullName: 'Alice DOE' });
});
// Integration (with DB)
test('UserService.create', async () => {
const service = new UserService(testDb);
const user = await service.create({...});
expect(user.id).toBeDefined();
});
// E2E (full stack)
test('signup flow', async () => {
await page.goto('/signup');
await page.fill('[name=email]', 'a@x');
await page.click('button[type=submit]');
await expect(page).toHaveURL('/dashboard');
});
```
→ 매 layer 의 own test type.
## 🤔 의사결정 기준 (Decision Criteria)
| 상황 | 추천 |
|---|---|
| Small project | Light SoC (folder structure) |
| Mid-size | Module + lint rule |
| Large monolith | Modular monolith + DDD |
| Microservice | Bounded context per service |
| AI agent | Decision (LLM) + execution (tool) |
| React app | Feature folder + custom hook |
| Game | ECS / system separation |
**기본값**: Module boundary + 매 layer (UI / domain / data) 의 separate. 매 case 의 over-engineer X.
## ⚠️ 모순 및 업데이트 (Contradictions & Updates)
- **Pure SoC vs DRY**: 매 cross-concern feature 의 매 layer 의 duplicate. 매 trade-off.
- **Boundary 의 cost**: 매 explicit boundary 의 boilerplate.
- **Microservice premature**: 매 small team 의 microservice = pain.
- **DDD 의 learning curve**: 매 small project 의 overkill.
- **AI agent 의 emerging**: 매 LLM + tool 의 SoC 의 modern.
## 🔗 지식 연결 (Graph)
- 부모: [[Software-Architecture]] · [[Design-Principles]] · [[Modularity]]
- 변형: [[Single Responsibility Principle (SRP)|Single-Responsibility-Principle]] · [[Hexagonal Architecture]] · [[Clean-Architecture]]
- 응용: [[MVC]] · [[Modular Monolith]] · [[Microservices]]
- 비판: [[Over-Engineering]]
- Adjacent: [[Decoupling]] · [[Encapsulation]] · [[Information-Hiding]]
## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
**언제 이 지식을 쓰는가:**
- 매 architecture 의 review.
- 매 module / service 의 boundary 결정.
- 매 AI agent 의 decision / execution 분리.
- 매 testability 의 design.
- 매 refactor 의 strategy.
**언제 쓰면 안 되는가:**
- 매 small script (overkill).
- 매 prototype (premature).
- 매 specific micro-optimization.
- Functional language 의 idiom (different paradigm).
## ❌ 안티패턴 (Anti-Patterns)
- **God class / module**: 매 모든 거 1 곳.
- **Circular dependency**: SoC violation.
- **Anemic domain model**: 매 logic 의 service. 매 model 의 data 만.
- **Service locator everywhere**: 매 hidden dependency.
- **Pure SoC + 매 small project**: over-engineer.
- **AI agent 의 mixed decision + execution**: untestable.
- **Microservice premature**: 매 single team 의 distributed pain.
## 🧪 검증 상태 (Validation)
- **정보 상태:** verified (concept-level).
- **출처 신뢰도:** B (Dijkstra 1974, "Clean Architecture" Martin, "DDD" Evans).
- **검토 이유:** Manual cleanup. Foundational concept 의 stable.
## 🧬 중복 검사 (Duplicate Check)
- **기존 유사 문서:** [[Single Responsibility Principle (SRP)|Single-Responsibility-Principle]] (subset), [[Hexagonal-Clean]] (응용), [[Modular Monolith]] (응용).
- **처리 방식:** KEEP (foundational principle).
- **처리 이유:** 매 specific architecture 의 base.
## 🕓 변경 이력 (Changelog)
| 날짜 | 변경 내용 | 처리 방식 | 신뢰도 |
|------|-----------|-----------|--------|
| 2026-05-08 | P-Reinforce Phase 1 정규화 | UPDATE | A |
| 2026-05-09 | Manual cleanup — 매 architecture 응용 + AI agent SoC + code pattern + 안티패턴 추가 | UPDATE | B |