Springboot Patterns

Automate and integrate Spring Boot design patterns for robust and maintainable applications

Category: productivity Source: affaan-m/everything-claude-code

Spring Boot Patterns is an AI skill that provides architectural patterns and implementation strategies for building Java applications with Spring Boot. It covers layered architecture, dependency injection, REST controller design, service composition, repository patterns, and configuration management that enable developers to build maintainable Spring Boot services.

What Is This?

Overview

Spring Boot Patterns provides structured approaches to building well-architected Java applications. It handles organizing code into controller, service, and repository layers with clear responsibilities, configuring dependency injection through constructor injection and component scanning, designing REST controllers with consistent request mapping and response handling, implementing service classes that encapsulate business logic independent of the web layer, building repository interfaces with Spring Data JPA for database access, and managing application configuration through profiles and properties.

Who Should Use This

This skill serves Java developers building microservices with Spring Boot, backend teams establishing architectural standards for Spring projects, tech leads defining patterns for team consistency, and developers migrating legacy Java applications to Spring Boot.

Why Use It?

Problems It Solves

Controllers that contain business logic become untestable and violate single responsibility. Field injection hides dependencies and makes testing without the Spring context difficult. Inconsistent error handling across endpoints produces unpredictable API responses. Without layered architecture, database access leaks into controller methods.

Core Highlights

Constructor injection makes dependencies explicit and enables testing without Spring context. Layered architecture separates web handling, business logic, and data access for testability. Global exception handling produces consistent error responses across all endpoints. Profile-based configuration supports environment-specific settings without code changes.

How to Use It?

Basic Usage

// Entity
@Entity
@Table(name = "users")
public class User {
    @Id
    @GeneratedValue(strategy = GenerationType.UUID)
    private String id;
    private String email;
    private String name;

    // getters and setters
    public String getId() { return id; }
    public String getEmail() { return email; }
    public String getName() { return name; }
    public void setEmail(String email) { this.email = email; }
    public void setName(String name) { this.name = name; }
}

// Repository
public interface UserRepository extends JpaRepository<User, String> {
    Optional<User> findByEmail(String email);
}

// Service
@Service
public class UserService {
    private final UserRepository repository;

    public UserService(UserRepository repository) {
        this.repository = repository;
    }

    public User getUser(String id) {
        return repository.findById(id)
            .orElseThrow(() -> new NotFoundException("User not found"));
    }

    public User register(String email, String name) {
        repository.findByEmail(email).ifPresent(u -> {
            throw new ConflictException("Email taken");
        });
        User user = new User();
        user.setEmail(email);
        user.setName(name);
        return repository.save(user);
    }
}

Real-World Examples

// Controller with consistent error handling
@RestController
@RequestMapping("/api/users")
public class UserController {
    private final UserService userService;

    public UserController(UserService userService) {
        this.userService = userService;
    }

    @GetMapping("/{id}")
    public ResponseEntity<User> getUser(@PathVariable String id) {
        return ResponseEntity.ok(userService.getUser(id));
    }

    @PostMapping
    public ResponseEntity<User> register(@RequestBody CreateUserRequest req) {
        User user = userService.register(req.email(), req.name());
        return ResponseEntity.status(HttpStatus.CREATED).body(user);
    }
}

// Global exception handler
@RestControllerAdvice
public class GlobalExceptionHandler {
    @ExceptionHandler(NotFoundException.class)
    public ResponseEntity<ErrorResponse> handleNotFound(NotFoundException ex) {
        return ResponseEntity.status(HttpStatus.NOT_FOUND)
            .body(new ErrorResponse("NOT_FOUND", ex.getMessage()));
    }

    @ExceptionHandler(ConflictException.class)
    public ResponseEntity<ErrorResponse> handleConflict(ConflictException ex) {
        return ResponseEntity.status(HttpStatus.CONFLICT)
            .body(new ErrorResponse("CONFLICT", ex.getMessage()));
    }
}

public record ErrorResponse(String code, String message) {}
public record CreateUserRequest(String email, String name) {}

Advanced Tips

Use @RestControllerAdvice for centralized exception mapping to keep controllers clean. Define DTOs separate from entities to control the API contract independently of database schema. Apply Spring profiles to switch configurations between development and production without code changes.

When to Use It?

Use Cases

Use Spring Boot Patterns when establishing architecture for new Spring Boot microservices, when refactoring controllers to separate business logic into service classes, when implementing consistent error handling across REST endpoints, or when configuring multi-environment deployments.

Important Notes

Requirements

Java 17 or later with Spring Boot 3.x. Spring Data JPA for repository support. Build tool configured with Spring Boot starter dependencies.

Usage Recommendations

Do: use constructor injection exclusively for mandatory dependencies. Keep controllers thin by delegating all logic to service classes. Define a global exception handler for consistent error responses.

Don't: use field injection with @Autowired, which hides dependencies and complicates testing. Put business logic in controllers, making it impossible to test without HTTP context. Return entity objects directly from controllers without DTO mapping.

Limitations

Spring Boot auto-configuration magic can obscure what beans are registered and how they interact. Layered architecture adds boilerplate for simple CRUD applications. Spring Data JPA generated queries may produce suboptimal SQL for complex access patterns.