spring-framework-patterns

Spring dependency injection misconfiguration occurs when dependencies are field-injected or not properly scoped. Use constructor-based injection with immutable final fields, avoid field injection, and apply optional setter injection only for optional dependencies to align with Spring Framework best practices and improve maintainability.

Proper Spring Boot layering separates controllers, services, and repositories with clear responsibility boundaries. Follow established Spring patterns: controllers handle HTTP requests, services contain business logic, and repositories manage data access through Spring Data JPA, ensuring clean architecture and testability.

Spring Security patterns establish authentication and authorization through configuration beans and interceptors. Apply role-based access control at the controller and service layers, use immutable security contexts, and test security constraints with integration tests to prevent vulnerabilities and misconfiguration.

Spring Boot testing strategies include unit tests with mocked dependencies, integration tests using TestContext framework, and slice tests for isolated layers. Align tests with constructor-based DI and immutable beans to validate Spring components, security rules, and data access patterns comprehensively.

Common Spring anti-patterns include field injection, circular dependencies, and improper bean scoping. Prevent them by enforcing constructor injection, designing services for dependency clarity, configuring appropriate scopes (singleton, prototype, request), and using Spring's validation and AOP features correctly.

Spring Boot 3.x supports caching via @Cacheable annotations and async processing through @Async and TaskExecutor beans. Apply these patterns at service boundaries, pair with proper error handling and transaction management, and test async flows to ensure maintainable, performant Spring applications.