mindrally/skills

java-spring-development

Java Spring Boot development guidelines with best practices for building robust, secure, and maintainable enterprise applications

Hot #2016 First seen Jan 25, 2026

Installation

$ npx skills add mindrally/skills --skill java-spring-development

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Repository health

Stars 258
Default branch main
Open issues 0
Status Active

Package contents

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  • skill md SKILL.md 3,515 B
  • docs SUMMARY.md 3,444 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 863 installs

SKILL.md

Java Spring Development Best Practices

Core Principles

  • Write clean, efficient, and well-documented Java code with accurate Spring Boot examples
  • Use Spring Boot 3.x with Java 17+ features (records, sealed classes, pattern matching)
  • Prefer constructor injection over field injection for better testability
  • Follow SOLID principles and RESTful API design patterns
  • Design for microservices architecture suitability

Project Structure

Organize code using the standard layered pattern:

project/
├── controllers/     # REST controllers
├── services/        # Business logic
├── repositories/    # Data access layer
├── models/          # Domain entities and DTOs
└── configurations/  # Spring configurations

Dependency Injection

  • Use constructor injection for required dependencies
  • Leverage @RequiredArgsConstructor with Lombok for cleaner code
  • Keep constructors simple and avoid logic in them
  • Use @Qualifier when multiple implementations exist

REST API Design

  • Use appropriate HTTP methods (GET, POST, PUT, DELETE, PATCH)
  • Return proper HTTP status codes
  • Implement consistent error response format
  • Use DTOs to control API contract
  • Version APIs when needed

Data Access

Spring Data JPA

  • Define proper entity relationships (@OneToMany, @ManyToOne, etc.)
  • Use lazy loading appropriately to avoid N+1 queries
  • Implement pagination for large result sets
  • Use query methods and @Query for custom queries

Database Migrations

  • Use Flyway or Liquibase for schema migrations
  • Version migration scripts properly
  • Never modify existing migrations
  • Test migrations in development before production

Security

Spring Security

  • Implement authentication and authorization properly
  • Use BCrypt for password encoding
  • Configure CORS appropriately
  • Protect endpoints based on roles/permissions
  • Use HTTPS in production

Secure Coding

  • Validate all user inputs
  • Sanitize data to prevent injection attacks
  • Avoid exposing sensitive information in responses
  • Use parameterized queries

Testing

Unit Testing

  • Use JUnit 5 for unit tests
  • Mock dependencies with Mockito
  • Test business logic thoroughly
  • Follow Given-When-Then pattern

Integration Testing

  • Use @SpringBootTest for integration tests
  • Use MockMvc for web layer testing
  • Test database operations with test containers
  • Test security configurations

Performance

Caching

  • Use Spring Cache abstraction
  • Configure appropriate cache providers (Redis, Caffeine)
  • Set proper TTL for cached data
  • Implement cache eviction strategies

Async Processing

  • Use @Async for non-blocking operations
  • Configure thread pools appropriately
  • Handle exceptions in async methods
  • Consider using reactive patterns for high concurrency

Logging and Monitoring

Logging

  • Use SLF4J with Logback
  • Log at appropriate levels
  • Include correlation IDs for tracing
  • Avoid logging sensitive data

Monitoring

  • Use Spring Boot Actuator for health and metrics
  • Export metrics to monitoring systems
  • Set up proper health checks
  • Monitor application performance

API Documentation

  • Use Springdoc OpenAPI for API documentation
  • Document all endpoints with descriptions
  • Include request/response examples
  • Keep documentation up to date with code