Can I use this with Spring Data JDBC instead of JPA?

Yes, the skill provides specific guidance for both. It actually recommends Spring Data JDBC for new DDD projects because it enforces aggregate boundaries more naturally.

Does it support domain events?

Yes, it provides patterns for extending AbstractAggregateRoot to handle domain events and ensures proper transactional boundaries for eventual consistency.

What version of Spring Boot does this skill support?

It is optimized for Spring Boot 4, including support for Jakarta EE 11 namespaces, JSpecify null-safety, and AOT repository compilation.

Is there support for Kotlin?

Yes, the skill includes implementation patterns and examples for both Java and Kotlin, focusing on idiomatic DDD structures for both languages.

How does it handle the N+1 query problem?

The skill implements best practices using EntityGraph and specialized projections to ensure related data is fetched efficiently without over-fetching.

Spring Boot Data DDD

Name: Spring Boot Data DDD
Author: joaquimscosta

byjoaquimscosta

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Database Management

Implements Domain-Driven Design (DDD) tactical patterns in the Spring Boot 4 data layer using JPA or JDBC.

About

This skill equips Claude with specialized knowledge for architecting robust data layers in Spring Boot 4 applications using Domain-Driven Design principles. It provides domain-specific guidance on implementing aggregate roots with AbstractAggregateRoot, mapping immutable value objects, and optimizing queries with EntityGraphs to prevent performance bottlenecks like the N+1 problem. Designed for modern Java development, it incorporates Spring Boot 4 specifics such as JSpecify null-safety and Jakarta EE 11 namespaces, ensuring that your persistence layer is clean, maintainable, and strictly aligned with DDD boundaries.

Key Features

Spring Boot 4 specifics including JSpecify null-safety and AOT
3 GitHub stars
Aggregate Root and Value Object implementation patterns
Strict transaction boundary management for data consistency
N+1 query prevention using JPA EntityGraphs
Automated entity auditing and efficient record-based projections

Use Cases

Implementing complex aggregate roots with event-driven consistency
Migrating existing Spring Data JPA repositories to follow DDD best practices
Building a new Spring Boot 4 microservice using Domain-Driven Design

About

Key Features

Spring Boot 4 specifics including JSpecify null-safety and AOT
3 GitHub stars
Aggregate Root and Value Object implementation patterns
Strict transaction boundary management for data consistency
N+1 query prevention using JPA EntityGraphs
Automated entity auditing and efficient record-based projections

Use Cases

Implementing complex aggregate roots with event-driven consistency
Migrating existing Spring Data JPA repositories to follow DDD best practices
Building a new Spring Boot 4 microservice using Domain-Driven Design