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Spring Boot 검증 루프

Spring Boot 프로젝트를 위한 검증 루프: 빌드, 정적 분석, 커버리지 테스트, 보안 스캔, 그리고 PR 또는 릴리스 전 변경 사항 리뷰를 수행합니다.

Spring Boot 검증 루프란 무엇인가요?

이 스킬은 Spring Boot 서비스의 품질을 보장하기 위한 완전 자동화된 검증(Verification Loop) 파이프라인을 제공합니다. PR을 열기 전, 주요 리팩토링 또는 의존성 업그레이드 후, 그리고 배포 전에 전체 빌드, 정적 분석, 테스트(커버리지 포함), 보안 스캔, 린트/포맷, 그리고 git diff 리뷰를 순차적으로 실행합니다. Maven과 Gradle을 모두 지원하며, Testcontainers를 활용한 실제 데이터베이스 통합 테스트, MockMvc를 통한 컨트롤러 계층 테스트, OWASP Dependency Check를 통한 CVE 스캔 등 Spring Boot 생태계에 특화된 검증 단계를 포함합니다. 최종적으로 표준화된 보고서 템플릿을 생성하여 프로젝트의 'READY' 또는 'NOT READY' 상태를 명확히 판단할 수 있도록 도와줍니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/springboot-verification

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

Spring Boot 검증 루프은(는) 무엇을 하나요?

PR 전, 주요 변경 후, 배포 전에 실행하세요.

활성화 시점

  • Spring Boot 서비스의 풀 리퀘스트를 열기 전
  • 주요 리팩토링 또는 의존성 업그레이드 후
  • 스테이징 또는 운영 환경 배포 전 검증
  • 전체 빌드 → 린트 → 테스트 → 보안 스캔 파이프라인 실행
  • 테스트 커버리지가 임계값을 충족하는지 확인

1단계: 빌드

mvn -T 4 clean verify -DskipTests
# 또는
./gradlew clean assemble -x test

빌드가 실패하면 중단하고 수정하세요.

2단계: 정적 분석

Maven (일반 플러그인):

mvn -T 4 spotbugs:check pmd:check checkstyle:check

Gradle (설정된 경우):

./gradlew checkstyleMain pmdMain spotbugsMain

3단계: 테스트 + 커버리지

mvn -T 4 test
mvn jacoco:report   # 80%+ 커버리지 확인
# 또는
./gradlew test jacocoTestReport

보고:

  • 전체 테스트, 통과/실패
  • 커버리지 % (라인/브랜치)

단위 테스트

Mockito로 의존성을 모킹하여 서비스 로직을 격리 테스트합니다:

@ExtendWith(MockitoExtension.class)
class UserServiceTest {

  @Mock private UserRepository userRepository;
  @InjectMocks private UserService userService;

  @Test
  void createUser_validInput_returnsUser() {
    var dto = new CreateUserDto("Alice", "[email protected]");
    var expected = new User(1L, "Alice", "[email protected]");
    when(userRepository.save(any(User.class))).thenReturn(expected);

    var result = userService.create(dto);

    assertThat(result.name()).isEqualTo("Alice");
    verify(userRepository).save(any(User.class));
  }

  @Test
  void createUser_duplicateEmail_throwsException() {
    var dto = new CreateUserDto("Alice", "[email protected]");
    when(userRepository.existsByEmail(dto.email())).thenReturn(true);

    assertThatThrownBy(() -> userService.create(dto))
        .isInstanceOf(DuplicateEmailException.class);
  }
}

Testcontainers를 사용한 통합 테스트

H2 대신 실제 데이터베이스로 테스트합니다:

@SpringBootTest
@Testcontainers
class UserRepositoryIntegrationTest {

  @Container
  static PostgreSQLContainer<?> postgres = new PostgreSQLContainer<>("postgres:16-alpine")
      .withDatabaseName("testdb");

  @DynamicPropertySource
  static void configureProperties(DynamicPropertyRegistry registry) {
    registry.add("spring.datasource.url", postgres::getJdbcUrl);
    registry.add("spring.datasource.username", postgres::getUsername);
    registry.add("spring.datasource.password", postgres::getPassword);
  }

  @Autowired private UserRepository userRepository;

  @Test
  void findByEmail_existingUser_returnsUser() {
    userRepository.save(new User("Alice", "[email protected]"));

    var found = userRepository.findByEmail("[email protected]");

    assertThat(found).isPresent();
    assertThat(found.get().getName()).isEqualTo("Alice");
  }
}

MockMvc를 사용한 API 테스트

전체 Spring 컨텍스트로 컨트롤러 계층을 테스트합니다:

@WebMvcTest(UserController.class)
class UserControllerTest {

  @Autowired private MockMvc mockMvc;
  @MockBean private UserService userService;

  @Test
  void createUser_validInput_returns201() throws Exception {
    var user = new UserDto(1L, "Alice", "[email protected]");
    when(userService.create(any())).thenReturn(user);

    mockMvc.perform(post("/api/users")
            .contentType(MediaType.APPLICATION_JSON)
            .content("""
                {"name": "Alice", "email": "[email protected]"}
                ","""))
        .andExpect(status().isCreated())
        .andExpect(jsonPath("$.name").value("Alice"));
  }

  @Test
  void createUser_invalidEmail_returns400() throws Exception {
    mockMvc.perform(post("/api/users")
            .contentType(MediaType.APPLICATION_JSON)
            .content("""
                {"name": "Alice", "email": "not-an-email"}
                ","""))
        .andExpect(status().isBadRequest());
  }
}

4단계: 보안 스캔

# 의존성 CVE
mvn org.owasp:dependency-check-maven:check
# 또는
./gradlew dependencyCheckAnalyze

# 소스 내 시크릿 검사
grep -rn "password\s*=\s*\"" src/ --include="*.java" --include="*.yml" --include="*.properties"
grep -rn "sk-\|api_key\|secret" src/ --include="*.java" --include="*.yml"

# 시크릿 (git 히스토리)
git secrets --scan  # 설정된 경우

일반적인 보안 발견 사항

# System.out.println 확인 (로거 사용)
grep -rn "System\.out\.print" src/main/ --include="*.java"

# 응답에 원시 예외 메시지 확인
grep -rn "e\.getMessage()" src/main/ --include="*.java"

# 와일드카드 CORS 확인
grep -rn "allowedOrigins.*\*" src/main/ --include="*.java"

5단계: 린트/포맷 (선택적 게이트)

mvn spotless:apply   # Spotless 플러그인 사용 시
./gradlew spotlessApply

6단계: 변경 사항 리뷰

git diff --stat
git diff

체크리스트:

  • 디버깅 로그 남아 있지 않음 (System.out, 가드 없는 log.debug)
  • 의미 있는 오류 및 HTTP 상태 코드
  • 필요한 곳에 트랜잭션 및 검증이 적용됨
  • 설정 변경 사항 문서화됨

출력 템플릿

VERIFICATION REPORT
===================
Build:     [PASS/FAIL]
Static:    [PASS/FAIL] (spotbugs/pmd/checkstyle)
Tests:     [PASS/FAIL] (X/Y 통과, Z% 커버리지)
Security:  [PASS/FAIL] (CVE 발견: N)
Diff:      [X개 파일 변경]

Overall:   [READY / NOT READY]

수정해야 할 이슈:
1. ...
2. ...

연속 모드

  • 중요 변경 사항이 있을 때 또는 긴 세션에서 30~60분마다 단계 재실행
  • 빠른 피드백을 위해 짧은 루프 유지: mvn -T 4 test + spotbugs

기억하세요: 빠른 피드백이 늦은 놀라움보다 낫습니다. 게이트를 엄격하게 유지하고, 프로덕션 시스템에서는 경고를 결함으로 처리하세요.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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