--- id: wiki-2026-0508-cognitive-load title: Cognitive Load category: 10_Wiki/Topics status: verified canonical_id: self aliases: [Mental Load, Working Memory Pressure, Code Complexity Tax] duplicate_of: none source_trust_level: A confidence_score: 0.9 verification_status: applied tags: [engineering, design, code-quality, devex] raw_sources: [] last_reinforced: 2026-05-10 github_commit: pending tech_stack: language: any framework: software-engineering --- # Cognitive Load ## 매 한 줄 > **"매 working memory 에 동시에 매 잡고 있어야 하는 정보의 양"**. Sweller 의 cognitive load theory (1988) 에 기반 — intrinsic, extraneous, germane 의 3-tier. 매 modern software design 의 first-principle metric — 작은 cognitive load 가 매 maintainable code 를 결정. ## 매 핵심 ### 매 3 종류 - **Intrinsic**: 문제 자체의 본질적 복잡도 (e.g., distributed consensus). - **Extraneous**: 표현/도구 가 만드는 인위적 복잡도 (bad naming, deep nesting). - **Germane**: schema 형성 과정 (learning) — useful load. ### 매 7±2 rule - Working memory 는 약 4-7 chunk 만 동시 처리 (Miller 1956, refined Cowan 2001). - Code 가 이 한계 넘으면 → bug, slow review, onboarding 지연. ### 매 응용 1. Function 의 line / parameter 제한 (small functions). 2. Module boundary 설계 — high cohesion, low coupling. 3. PR size 제한 (200-400 line max). 4. Naming convention — domain language 사용. ## 💻 패턴 ### Guard clause 로 nesting 줄임 ```python # BAD: deep nesting (high extraneous load) def process(user): if user is not None: if user.is_active: if user.has_permission('write'): return do_work(user) return None # GOOD: early return def process(user): if user is None: return None if not user.is_active: return None if not user.has_permission('write'): return None return do_work(user) ``` ### Extract domain primitive ```typescript // BAD: primitive obsession — caller must remember semantics function transfer(from: string, to: string, amount: number, currency: string) {} // GOOD: types carry semantics type AccountId = string & { __brand: 'AccountId' }; type Money = { amount: bigint; currency: Currency }; function transfer(from: AccountId, to: AccountId, money: Money) {} ``` ### 매 colocation ```tsx // BAD: scattered — must context-switch // styles.css, validation.ts, component.tsx, types.ts // GOOD: single-file feature unit (Astro/Svelte/RSC era) export function Form() { const validate = (v: string) => v.length > 0; return validate(e.target.value)} />; } ``` ### Boundary objects ```python # Each layer translates — caller doesn't need to know inner schema class UserDTO: # external API shape ... class User: # domain entity ... class UserRow: # DB schema ... def to_domain(dto: UserDTO) -> User: ... def to_row(user: User) -> UserRow: ... ``` ### Team Topologies pattern ```yaml # Stream-aligned team owns a single bounded context # Platform team provides self-service infra # Goal: each team's cognitive load fits one team's working memory team: payments owns: [PaymentService, RefundService, payment-db] depends_on: platform: [k8s-cluster, observability] enabling: [] ``` ## 매 결정 기준 | 상황 | Approach | |---|---| | Function > 50 lines | Extract sub-functions or strategy | | Class > 7 public methods | Split by responsibility | | Team owns > 1 product area | Reorg per Team Topologies | | Domain logic mixed w/ infra | Hexagonal / Clean Architecture | | Onboarding > 2 weeks | Reduce coupling, write decision records | **기본값**: Optimize for reader, not writer — 매 reduce extraneous, accept intrinsic. ## 🔗 Graph - 부모: [[Cognitive Psychology]] - 응용: [[Team Topologies]] · [[Hexagonal Architecture]] · [[Clean Code]] - Adjacent: [[Working Memory]] · [[Code Smell]] ## 🤖 LLM 활용 **언제**: Code review, refactoring decision, team structure 설계, PR size 판단. **언제 X**: Pure performance optimization (different metric). ## ❌ 안티패턴 - **Cleverness 자랑**: dense one-liner, clever bitwise — high extraneous. - **God object**: 30+ method class — exceeds chunking capacity. - **Magic constants**: `if x > 86400` 대신 `SECONDS_PER_DAY`. - **Implicit context**: global mutable state — reader 가 매 trace 해야 함. - **Premature abstraction**: framework-itis — abstraction 이 intrinsic 아닌데 추가됨. ## 🧪 검증 / 중복 - Verified (Sweller 1988, Skelton & Pais 2019 Team Topologies). - 신뢰도 A. ## 🕓 Changelog | 날짜 | 변경 | |---|---| | 2026-05-08 | Phase 1 | | 2026-05-10 | Manual cleanup — cognitive load theory + practical refactoring patterns |