Java Springboot
github/awesome-copilotThis skill provides best practices for developing high-quality Spring Boot applications, covering project setup, dependency injection, configuration management, web layer design, service and data layers, logging, testing, and security. It offers guidance on organizing code, managing dependencies, externalizing configuration, designing RESTful APIs, encapsulating business logic, and implementing robust testing strategies. This is ideal for Java developers building or maintaining Spring Boot applications who want to follow industry-standard conventions and enhance application quality.
Spring Boot Best Practices
Your goal is to help me write high-quality Spring Boot applications by following established best practices.
Project Setup & Structure
- Build Tool: Use Maven (
pom.xml) or Gradle (build.gradle) for dependency management. - Starters: Use Spring Boot starters (e.g.,
spring-boot-starter-web,spring-boot-starter-data-jpa) to simplify dependency management. - Package Structure: Organize code by feature/domain (e.g.,
com.example.app.order,com.example.app.user) rather than by layer (e.g.,com.example.app.controller,com.example.app.service).
Dependency Injection & Components
- Constructor Injection: Always use constructor-based injection for required dependencies. This makes components easier to test and dependencies explicit.
- Immutability: Declare dependency fields as
private final. - Component Stereotypes: Use
@Component,@Service,@Repository, and@Controller/@RestControllerannotations appropriately to define beans.
Configuration
- Externalized Configuration: Use
application.yml(orapplication.properties) for configuration. YAML is often preferred for its readability and hierarchical structure. - Type-Safe Properties: Use
@ConfigurationPropertiesto bind configuration to strongly-typed Java objects. - Profiles: Use Spring Profiles (
application-dev.yml,application-prod.yml) to manage environment-specific configurations. - Secrets Management: Do not hardcode secrets. Use environment variables, or a dedicated secret management tool like HashiCorp Vault or AWS Secrets Manager.
Web Layer (Controllers)
- RESTful APIs: Design clear and consistent RESTful endpoints.
- DTOs (Data Transfer Objects): Use DTOs to expose and consume data in the API layer. Do not expose JPA entities directly to the client.
- Validation: Use Java Bean Validation (JSR 380) with annotations (
@Valid,@NotNull,@Size) on DTOs to validate request payloads. - Error Handling: Implement a global exception handler using
@ControllerAdviceand@ExceptionHandlerto provide consistent error responses.
Service Layer
- Business Logic: Encapsulate all business logic within
@Serviceclasses. - Statelessness: Services should be stateless.
- Transaction Management: Use
@Transactionalon service methods to manage database transactions declaratively. Apply it at the most granular level necessary.
Data Layer (Repositories)
- Spring Data JPA: Use Spring Data JPA repositories by extending
JpaRepositoryorCrudRepositoryfor standard database operations. - Custom Queries: For complex queries, use
@Queryor the JPA Criteria API. - Projections: Use DTO projections to fetch only the necessary data from the database.
Logging
- SLF4J: Use the SLF4J API for logging.
- Logger Declaration:
private static final Logger logger = LoggerFactory.getLogger(MyClass.class); - Parameterized Logging: Use parameterized messages (
logger.info("Processing user {}...", userId);) instead of string concatenation to improve performance.
Testing
- Unit Tests: Write unit tests for services and components using JUnit 5 and a mocking framework like Mockito.
- Integration Tests: Use
@SpringBootTestfor integration tests that load the Spring application context. - Test Slices: Use test slice annotations like
@WebMvcTest(for controllers) or@DataJpaTest(for repositories) to test specific parts of the application in isolation. - Testcontainers: Consider using Testcontainers for reliable integration tests with real databases, message brokers, etc.
Security
- Spring Security: Use Spring Security for authentication and authorization.
- Password Encoding: Always encode passwords using a strong hashing algorithm like BCrypt.
- Input Sanitization: Prevent SQL injection by using Spring Data JPA or parameterized queries. Prevent Cross-Site Scripting (XSS) by properly encoding output.
GitHub Owner
Owner: github
GitHub Links
- Website: https://github.com/about
- Verified domains:
github,github.com
SKILL.md
name: java-springboot description: 'Get best practices for developing applications with Spring Boot.'
Spring Boot Best Practices
Your goal is to help me write high-quality Spring Boot applications by following established best practices.
Project Setup & Structure
- Build Tool: Use Maven (
pom.xml) or Gradle (build.gradle) for dependency management. - Starters: Use Spring Boot starters (e.g.,
spring-boot-starter-web,spring-boot-starter-data-jpa) to simplify dependency management. - Package Structure: Organize code by feature/domain (e.g.,
com.example.app.order,com.example.app.user) rather than by layer (e.g.,com.example.app.controller,com.example.app.service).
Dependency Injection & Components
- Constructor Injection: Always use constructor-based injection for required dependencies. This makes components easier to test and dependencies explicit.
- Immutability: Declare dependency fields as
private final. - Component Stereotypes: Use
@Component,@Service,@Repository, and@Controller/@RestControllerannotations appropriately to define beans.
Configuration
- Externalized Configuration: Use
application.yml(orapplication.properties) for configuration. YAML is often preferred for its readability and hierarchical structure. - Type-Safe Properties: Use
@ConfigurationPropertiesto bind configuration to strongly-typed Java objects. - Profiles: Use Spring Profiles (
application-dev.yml,application-prod.yml) to manage environment-specific configurations. - Secrets Management: Do not hardcode secrets. Use environment variables, or a dedicated secret management tool like HashiCorp Vault or AWS Secrets Manager.
Web Layer (Controllers)
- RESTful APIs: Design clear and consistent RESTful endpoints.
- DTOs (Data Transfer Objects): Use DTOs to expose and consume data in the API layer. Do not expose JPA entities directly to the client.
- Validation: Use Java Bean Validation (JSR 380) with annotations (
@Valid,@NotNull,@Size) on DTOs to validate request payloads. - Error Handling: Implement a global exception handler using
@ControllerAdviceand@ExceptionHandlerto provide consistent error responses.
Service Layer
- Business Logic: Encapsulate all business logic within
@Serviceclasses. - Statelessness: Services should be stateless.
- Transaction Management: Use
@Transactionalon service methods to manage database transactions declaratively. Apply it at the most granular level necessary.
Data Layer (Repositories)
- Spring Data JPA: Use Spring Data JPA repositories by extending
JpaRepositoryorCrudRepositoryfor standard database operations. - Custom Queries: For complex queries, use
@Queryor the JPA Criteria API. - Projections: Use DTO projections to fetch only the necessary data from the database.
Logging
- SLF4J: Use the SLF4J API for logging.
- Logger Declaration:
private static final Logger logger = LoggerFactory.getLogger(MyClass.class); - Parameterized Logging: Use parameterized messages (
logger.info("Processing user {}...", userId);) instead of string concatenation to improve performance.
Testing
- Unit Tests: Write unit tests for services and components using JUnit 5 and a mocking framework like Mockito.
- Integration Tests: Use
@SpringBootTestfor integration tests that load the Spring application context. - Test Slices: Use test slice annotations like
@WebMvcTest(for controllers) or@DataJpaTest(for repositories) to test specific parts of the application in isolation. - Testcontainers: Consider using Testcontainers for reliable integration tests with real databases, message brokers, etc.
Security
- Spring Security: Use Spring Security for authentication and authorization.
- Password Encoding: Always encode passwords using a strong hashing algorithm like BCrypt.
- Input Sanitization: Prevent SQL injection by using Spring Data JPA or parameterized queries. Prevent Cross-Site Scripting (XSS) by properly encoding output.