Agent skill

Strangler Fig Patterns

레거시 시스템을 점진적으로 교체하는 Strangler Fig 패턴과 관련 마이그레이션 패턴의 상세 구현 가이드.

Apache-2.0Auto-check passedDevelopment

Install Strangler Fig Patterns

skills CLI

$ npx skills add revfactory/harness-100 --skill strangler-fig-patterns -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 strangler-fig-patterns --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns .claude/skills/strangler-fig-patterns && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "strangler-fig-patterns" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns into .claude/skills/strangler-fig-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "strangler-fig-patterns", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/revfactory/harness-100/tree/main/ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add revfactory/harness-100 --skill strangler-fig-patterns -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 strangler-fig-patterns --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns .agents/skills/strangler-fig-patterns && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "strangler-fig-patterns" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns into .agents/skills/strangler-fig-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "strangler-fig-patterns", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add revfactory/harness-100 --skill strangler-fig-patterns -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 strangler-fig-patterns --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns .cursor/skills/strangler-fig-patterns && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "strangler-fig-patterns" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns into .cursor/skills/strangler-fig-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "strangler-fig-patterns", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/revfactory/harness-100.git --path ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add revfactory/harness-100 --skill strangler-fig-patterns -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 strangler-fig-patterns --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns .gemini/skills/strangler-fig-patterns && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "strangler-fig-patterns" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns into .gemini/skills/strangler-fig-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "strangler-fig-patterns", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install revfactory/harness-100 strangler-fig-patterns

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add revfactory/harness-100 --skill strangler-fig-patterns -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .github/skills && cp -r skills-src/ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns .github/skills/strangler-fig-patterns && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "strangler-fig-patterns" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns into .github/skills/strangler-fig-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "strangler-fig-patterns", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add revfactory/harness-100 --skill strangler-fig-patterns -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 strangler-fig-patterns --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns .opencode/skills/strangler-fig-patterns && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "strangler-fig-patterns" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns into .opencode/skills/strangler-fig-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "strangler-fig-patterns", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: strangler-fig-patterns
GitHub stars: 1.3k
Token cost: ~962 tokens
SKILL.md length: 269 words
Files: 1
Skills in repo: 464
Repo updated: Mar 22, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

레거시 시스템을 점진적으로 교체하는 Strangler Fig 패턴과 관련 마이그레이션 패턴의 상세 구현 가이드.

Works in 5 steps: Strangler Fig Pattern → Branch by Abstraction → Parallel Run (Scientist 패턴) → …
Tasks that involve Refactoring
SKILL.md covers 패턴 카탈로그, 패턴 선택 의사결정 트리 and 위험 신호와 대응
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Strangler Fig Patterns is an agent skill from revfactory/harness-100. 레거시 시스템을 점진적으로 교체하는 Strangler Fig 패턴과 관련 마이그레이션 패턴의 상세 구현 가이드. 'strangler fig', '점진적 마이그레이션', '리팩토링 패턴', 'branch by abstraction', 'parallel run', '점진적 교체', '마이그레이션 패턴 선택' 등 레거시 전환 패턴 적용 시 이 스킬을 사용한다. refactoring-strategist와 migration-engineer의 패턴 선택·구현을 강화한다. 단, 전체 팀 오케스트레이션이나 프로젝트 관리는 이 스킬의 범위가 아니다.

Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Refactoring. The licence is Apache-2.0.

When your agent uses it

Tasks that involve Refactoring

Example prompts

“strangler fig”
“branch by abstraction”
“parallel run”
“/strangler-fig-patterns”

Requirements

Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

Strangler Fig Pattern
Branch by Abstraction
Parallel Run (Scientist 패턴)
Anti-Corruption Layer (ACL)
Feature Toggle 전략

What it can do on your machine

Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and yaml).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Strangler Fig Patterns loads about 962 tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 269 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~81
When it runs · the whole SKILL.md, loaded when a task matches: ~962

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 269 words, ~962 tokens.

Download SKILL.mdSave it as .claude/skills/strangler-fig-patterns/SKILL.md (or your agent's skills folder).

name: strangler-fig-patterns
description: 레거시 시스템을 점진적으로 교체하는 Strangler Fig 패턴과 관련 마이그레이션 패턴의 상세 구현 가이드. 'strangler fig', '점진적 마이그레이션', '리팩토링 패턴', 'branch by abstraction', 'parallel run', '점진적 교체', '마이그레이션 패턴 선택' 등 레거시 전환 패턴 적용 시 이 스킬을 사용한다. refactoring-strategist와 migration-engineer의 패턴 선택·구현을 강화한다. 단, 전체 팀 오케스트레이션이나 프로젝트 관리는 이 스킬의 범위가 아니다.

Strangler Fig Patterns — 점진적 마이그레이션 패턴 가이드

레거시 시스템 교체를 위한 검증된 패턴들의 상세 구현 방법론.

패턴 카탈로그

1. Strangler Fig Pattern

적용 조건: 모놀리스에서 새 시스템으로 점진적 전환이 필요할 때

┌─────────────────────────────────────────────┐
│                 라우터/프록시                  │
│  ┌──────────┐    ┌──────────────────────┐   │
│  │ 레거시    │ ←→ │ 새 시스템            │   │
│  │ (축소 중) │    │ (확장 중)            │   │
│  └──────────┘    └──────────────────────┘   │
└─────────────────────────────────────────────┘

구현 단계:

단계	작업	검증 기준	롤백 방법
1. 인터셉터 삽입	라우터/프록시 계층 추가	기존 트래픽 100% 레거시 경유 확인	인터셉터 제거
2. 기능 단위 추출	가장 독립적인 기능부터 새 서비스로	동일 입출력 검증 (Shadow Test)	라우팅 복원
3. 트래픽 전환	카나리 → 점진적 비율 증가	에러율, 지연시간, 비즈니스 메트릭	비율 0% 복귀
4. 레거시 제거	이관 완료된 코드 삭제	전환 완료 100% 확인	N/A

추출 우선순위 매트릭스:

높은 비즈니스 가치
       │
  ③ Quick │ ① 최우선
    Wins  │  추출 대상
  ────────┼──────────→ 낮은 결합도
  ④ 후순위 │ ② 점진적
    보류   │  분리 후 추출
       │
낮은 비즈니스 가치

2. Branch by Abstraction

적용 조건: 내부 컴포넌트를 교체할 때 (같은 코드베이스 내)

python

# Step 1: 추상화 계층 삽입
class PaymentGateway(ABC):
    @abstractmethod
    def process(self, amount: Decimal) -> PaymentResult: ...

# Step 2: 레거시 구현 래핑
class LegacyPayment(PaymentGateway):
    def process(self, amount):
        return self.old_system.charge(amount)

# Step 3: 신규 구현
class ModernPayment(PaymentGateway):
    def process(self, amount):
        return self.stripe_client.create_charge(amount)

# Step 4: 피처 플래그로 전환
gateway = ModernPayment() if feature_flag('new_payment') else LegacyPayment()

3. Parallel Run (Scientist 패턴)

적용 조건: 교체 전에 신규 시스템의 정확성을 검증할 때

python

class Experiment:
    def run(self, input_data):
        control_result = self.legacy.execute(input_data)
        try:
            candidate_result = self.modern.execute(input_data)
            if not self.compare(control_result, candidate_result):
                self.report_mismatch(input_data, control_result, candidate_result)
        except Exception as e:
            self.report_error(input_data, e)
        return control_result  # 항상 레거시 결과 반환

비교 전략:

비교 수준	방법	허용 범위
정확 일치	`==`	0% 차이
구조적 일치	스키마 비교	필드 존재/타입 일치
의미적 일치	비즈니스 규칙 기반	도메인별 허용 오차
통계적 일치	집계/분포 비교	99.9% 일치율 이상

4. Anti-Corruption Layer (ACL)

적용 조건: 레거시와 신규 시스템이 공존해야 할 때 도메인 오염 방지

ACL 구성요소:

구성요소	역할	구현
Translator	도메인 모델 변환	DTO ↔ Domain Object 매핑
Adapter	인터페이스 변환	레거시 API → 현대 인터페이스
Facade	복잡성 은닉	레거시 다중 호출 → 단일 메서드

5. Feature Toggle 전략

yaml

toggles:
  # Phase 1: 개발 팀만
  new_user_service: { type: permission, users: ["dev-team"] }
  # Phase 2: 카나리 (10%)
  new_user_service: { type: gradual-rollout, percentage: 10, sticky: true }
  # Phase 3: 전면 전환
  new_user_service: { type: release, enabled: true }
  # Phase 4: 토글 제거 (레거시 코드 삭제)

패턴 선택 의사결정 트리

레거시 교체가 필요한가?
├── 외부 시스템/서비스 교체 → Strangler Fig
├── 내부 컴포넌트 교체
│   ├── 교체 전 검증 필요 → Parallel Run + Branch by Abstraction
│   └── 교체 확신 있음 → Branch by Abstraction
├── 레거시-신규 공존 장기화 → Anti-Corruption Layer
└── 모든 경우 → Feature Toggle 병용 권장

위험 신호와 대응

위험 신호	의미	대응
추출할 모듈이 10개 이상 의존	결합도 과다	ACL 삽입 후 점진적 의존성 정리
Parallel Run 불일치율 > 5%	동작 차이 과다	비즈니스 규칙 재검증, 엣지 케이스 수집
토글 수 > 20개 동시 활성	토글 부채	정기 토글 청소 스프린트 도입
마이그레이션 6개월 이상 지속	병렬 운영 비용 증가	범위 축소 또는 부분 Big Bang 검토

Files

Just SKILL.md in ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Strangler Fig Patterns next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Strangler Fig Patterns compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Strangler Fig Patterns this skillrevfactory/harness-100	1.3k	—	~962	Automated safety check: Pass	Apache-2.0	6 mo ago
Guidelinesakash-network/node	1.1k	22 repos	~577	Automated safety check: Pass	MIT	yesterday
Component Refactoringlangflow-ai/langflow	156k	—	~3.5k	Automated safety check: Pass	MIT	today
Migrate Core Code to Submodulestinyhumansai/openhuman	41k	—	~2.6k	Automated safety check: Pass	GPL-3.0	today
ast-grep Structural Searchcode-yeongyu/oh-my-openagent	70k	—	~3.3k	Automated safety check: Pass	MIT	today
Systematic Code Refactoringluongnv89/claude-howto	42k	—	~3k	Automated safety check: Pass	MIT	7 days ago

Similar skills

Guidelines
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
1.1k GitHub starsUsed in 22 repos~577 tokens
DevelopmentAuto-check passed
Component Refactoring
langflow-ai/langflow
Refactor high-complexity React components in Langflow frontend.
156k GitHub stars~3.5k tokensUpdated today
DevelopmentAuto-check passed
Migrate Core Code to Submodules
tinyhumansai/openhuman
Plans and carries out moving non-host-specific code and its tests from the OpenHuman core into vendored tiny submodule libraries, then releases the submodule and re-pins the host.
41k GitHub stars~2.6k tokensUpdated today
DevelopmentAuto-check passed
ast-grep Structural Search
code-yeongyu/oh-my-openagent
Searches and rewrites code by syntax-tree shape across 25 languages with ast-grep, for codemods, structural queries and YAML lint rules, using a Python wrapper script.
70k GitHub stars~3.3k tokensUpdated today
DevelopmentAuto-check passed
Systematic Code Refactoring
luongnv89/claude-howto
Guides refactoring in phases based on Martin Fowler's method: research, test coverage check, planning and small tested steps, with your approval at each phase.
42k GitHub stars~3k tokensUpdated 7 days ago
DevelopmentAuto-check passed
Codex
skills-directory/skill-codex
A skill your agent uses when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
1.5k GitHub starsUsed in 3 repos~1.8k tokens
DevelopmentAuto-check passed

Questions about Strangler Fig Patterns

What does Strangler Fig Patterns do?

레거시 시스템을 점진적으로 교체하는 Strangler Fig 패턴과 관련 마이그레이션 패턴의 상세 구현 가이드. Strangler Fig Patterns is an agent skill from revfactory/harness-100. 레거시 시스템을 점진적으로 교체하는 Strangler Fig 패턴과 관련 마이그레이션 패턴의 상세 구현 가이드.

When should I use Strangler Fig Patterns?

Strangler Fig Patterns fits situations like: tasks that involve Refactoring.

How do I install Strangler Fig Patterns in Claude Code?

Run `npx skills add revfactory/harness-100 --skill strangler-fig-patterns -a claude-code`. Or copy the skill folder (ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns in revfactory/harness-100) into .claude/skills/strangler-fig-patterns in your project. Claude Code loads it when a task matches its description.

How do I install Strangler Fig Patterns in Codex?

Run `npx skills add revfactory/harness-100 --skill strangler-fig-patterns -a codex`. Or copy the skill folder (ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns in revfactory/harness-100) into .agents/skills/strangler-fig-patterns in your project. Codex loads it when a task matches its description.

Can I use Strangler Fig Patterns in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill strangler-fig-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/strangler-fig-patterns, .gemini/skills/strangler-fig-patterns, .github/skills/strangler-fig-patterns and .opencode/skills/strangler-fig-patterns in your project.

What does Strangler Fig Patterns need to run?

SKILL.md names no scripts, command-line tools or credentials: Strangler Fig Patterns is instructions for the agent only. Our summary lists: Python 3.

Does Strangler Fig Patterns access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Strangler Fig Patterns safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Strangler Fig Patterns use?

Strangler Fig Patterns is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Strangler Fig Patterns use?

About 962 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Strangler Fig Patterns?

Skills that share tags, products or a category with Strangler Fig Patterns: Guidelines (akash-network/node, 1.1k stars), Component Refactoring (langflow-ai/langflow, 156k stars), Migrate Core Code to Submodules (tinyhumansai/openhuman, 41k stars) and ast-grep Structural Search (code-yeongyu/oh-my-openagent, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Strangler Fig Patterns?

revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.

Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Strangler Fig Patterns

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Strangler Fig Patterns — 점진적 마이그레이션 패턴 가이드

패턴 카탈로그

1. Strangler Fig Pattern

2. Branch by Abstraction

3. Parallel Run (Scientist 패턴)

4. Anti-Corruption Layer (ACL)

5. Feature Toggle 전략

패턴 선택 의사결정 트리

위험 신호와 대응

Files

Compare with similar skills

Similar skills

More from revfactory/harness-100

Related

Questions about Strangler Fig Patterns