refactor(topics): 멀티 에이전트용 지식 재편 — _Common(공통 기본기) + Domain_* 구조
에이전트 8종(대화형/프로그래머 C·S/디자이너/설계자/기획자/QA/PD/PM)에게 [공통 기본 능력 + 롤별 Specialty] 2층으로 지식을 주입하기 위한 재분류. 문서 내용·포맷은 무수정, 폴더 이동만 (6,372개 문서 수 보존 확인). - Topic_Programming → Domain_Programming (내부 구조 보존) - Topic_Graphic → Domain_Design - Topic_Business → Domain_Product - Topic_General → Domain_General - _Common 신설: Math(구 Topic_Math_Specialty), Reasoning(구 General/From_Thinking & Reasoning), Reasoning_Creativity(구 General/From_창의성), Communication(Poetic_Blog_Writing + From_writing) - 타 도메인의 From_* 폴더는 유지 (출처 표기일 뿐, 이미 도메인에 맞게 분류된 문서) - 빈 폴더 정리 (memory/procedures) - 에이전트→폴더 매핑은 workspace의 .astra/agent-knowledge-map.json (9개 에이전트) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Antigravity Agent
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---
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id: wiki-2026-0508-structurizr
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title: Structurizr
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category: 10_Wiki/Topics
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status: verified
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canonical_id: self
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aliases: [Structurizr DSL, C4 Tooling]
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duplicate_of: none
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source_trust_level: A
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confidence_score: 0.9
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verification_status: applied
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tags: [architecture, c4-model, diagrams-as-code, documentation]
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raw_sources: []
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last_reinforced: 2026-05-10
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github_commit: pending
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tech_stack:
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language: dsl
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framework: structurizr
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---
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# Structurizr
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## 매 한 줄
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> **"매 architecture-as-code 의 reference impl"**. Simon Brown 의 C4 model 을 textual DSL 로 표현 → 다양한 view (Context, Container, Component, Code) 의 자동 generation. 2026 의 AI-aided (Claude, Cursor) 의 architectural diagram 생성 의 default tooling 중 하나.
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## 매 핵심
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### 매 C4 model recap
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- **Level 1 — Context**: System 의 user, external system 과 의 관계.
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- **Level 2 — Container**: Application, datastore, microservice 의 deployment unit.
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- **Level 3 — Component**: Container 내부 의 logical group.
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- **Level 4 — Code**: 매 class diagram (rarely needed).
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### 매 Structurizr 형태
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- **Structurizr DSL**: text-based, 매 single source of truth.
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- **Structurizr CLI**: DSL → JSON workspace, export to PlantUML, Mermaid, D2.
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- **Structurizr Lite**: 매 self-hosted preview (Docker).
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- **Structurizr Cloud**: 매 hosted SaaS.
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### 매 응용
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1. Onboarding documentation (engineer hire 의 first-day reading).
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2. ADR companion (decision record 의 visual context).
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3. AI-aided refactoring planning (Claude 가 DSL 생성).
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4. Compliance / audit (SOC2, ISO27001 의 system diagram).
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## 💻 패턴
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### Basic workspace (DSL)
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```dsl
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workspace "PaymentSystem" {
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model {
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user = person "Customer"
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paymentSystem = softwareSystem "Payment System" {
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webApp = container "Web App" "Next.js" "TypeScript"
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api = container "API" "Hono on Bun" "TypeScript"
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db = container "Database" "PostgreSQL" "Database"
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}
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stripe = softwareSystem "Stripe" "External payment provider" "External"
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user -> webApp "Uses"
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webApp -> api "Calls" "HTTPS/JSON"
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api -> db "Reads/Writes" "SQL"
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api -> stripe "Charges" "HTTPS"
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}
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views {
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systemContext paymentSystem { include * autolayout lr }
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container paymentSystem { include * autolayout lr }
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theme default
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}
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}
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```
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### Component view (Level 3)
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```dsl
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component api {
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authController = component "AuthController" "JWT validation"
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paymentService = component "PaymentService" "Charge orchestration"
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stripeClient = component "StripeClient" "Stripe SDK wrapper"
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authController -> paymentService "Delegates"
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paymentService -> stripeClient "Uses"
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}
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```
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### Export to other formats
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```bash
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docker run --rm -v $PWD:/usr/local/structurizr structurizr/cli \
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export -workspace workspace.dsl -format plantuml
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docker run --rm -v $PWD:/usr/local/structurizr structurizr/cli \
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export -workspace workspace.dsl -format mermaid
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```
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### Structurizr Lite (local preview)
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```bash
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docker run -it --rm -p 8080:8080 \
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-v $PWD:/usr/local/structurizr \
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structurizr/lite
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# open http://localhost:8080
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```
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### AI-aided generation (Claude prompt)
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```
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Given this codebase tree and key file imports, generate a Structurizr DSL
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workspace covering Context + Container views. Use:
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- person for end users
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- softwareSystem for our system
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- container for each deployable unit (web, api, worker, db, queue)
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- explicit relationships with technology labels
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Return only the DSL block.
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```
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### Deployment view
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```dsl
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deploymentEnvironment "Production" {
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deploymentNode "AWS us-east-1" {
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deploymentNode "ECS Cluster" {
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containerInstance api
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}
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deploymentNode "RDS" {
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containerInstance db
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}
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}
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}
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```
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## 매 결정 기준
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| 상황 | Approach |
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|---|---|
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| 매 single-source-of-truth diagram | Structurizr DSL |
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| 매 quick sketch | Mermaid / D2 직접 |
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| 매 enterprise architecture | Structurizr Cloud + ADR |
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| 매 OSS / public | Structurizr Lite + GitHub |
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| 매 ad-hoc one-off | Excalidraw |
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**기본값**: 매 production system documentation → Structurizr DSL + Lite.
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## 🔗 Graph
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- 부모: [[Software-Architecture]]
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- 변형: [[Mermaid]] · [[PlantUML]] · [[D2]]
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- 응용: [[C4 Model (Architecture Documentation)]] · [[ADR]] · [[Onboarding]]
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- Adjacent: [[Diagrams as Code]] · [[Architecture-Decision-Record]]
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## 🤖 LLM 활용
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**언제**: 매 codebase walk-through 후 architecture diagram 생성 (Claude 가 DSL 작성), 매 refactor plan 의 before/after view, 매 ADR 의 visual context.
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**언제 X**: 매 throwaway sketch (overkill), 매 UI component design (use Figma), 매 sequence diagram primary (use Mermaid sequenceDiagram).
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## ❌ 안티패턴
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- **Level 4 (Code) 의 maintain**: IDE 가 더 잘함. C4 의 Code level 은 rarely worthwhile.
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- **DSL 의 stale**: 매 code 와 sync 안 됨 → AI 가 quarterly regenerate.
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- **Container 의 too granular**: 매 microservice 50+ 의 single view → split per bounded context.
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## 🧪 검증 / 중복
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- Verified (Simon Brown C4 model, structurizr.com docs, GitHub structurizr/dsl).
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- 신뢰도 A.
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## 🕓 Changelog
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| 날짜 | 변경 |
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|---|---|
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | Manual cleanup — DSL + CLI + Lite + AI-aided coverage |
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