Plan Java/Spring Boot project architecture and technology decisions.
npx skills add https://github.com/PedroSantiagoDev/buildup --skill planning-java
Please help me install this Agent Skill. Skill: planning-java Source: https://github.com/PedroSantiagoDev/buildup/tree/main/.claude/skills/planning Command: npx skills add https://github.com/PedroSantiagoDev/buildup --skill planning-java
This Skill streamlines the complex process of planning and architecting Java/Spring Boot projects, ensuring robust, scalable, and maintainable systems from the ground up. It saves significant development time and reduces architectural debt by establishing solid foundations.
Using the planning-java skill, outline the architecture for a new Spring Boot microservice that manages user profiles, including data access, security, and testing strategy.
High-intent search queries and answers about installing and using this skill.
Planning a Spring Boot microservice architecture involves defining requirements, selecting technology choices within the Spring ecosystem, designing a layered architecture with Controller/Service/Repository patterns, and outlining data access, security, testing, and observability strategies upfront to prevent architectural debt.
A solid Java project architecture plan includes technology stack selection (Spring Boot, Maven/Gradle, database choice), layered design with DTOs and Entities, Spring Security implementation, Spring Data JPA or MongoDB configuration, comprehensive testing strategy with JUnit 5 and Testcontainers, and observability via Spring Boot Actuator and Micrometer.
Yes, this approach is designed specifically for architecting microservices in the Spring ecosystem, guiding you through technology choices, layered architecture design, data access patterns with Spring Data, HTTP client configuration with WebClient, and integrated security and observability planning.
Incorporate Spring Security for authentication and authorization during the initial architecture phase, add Spring Boot Actuator and Micrometer for observability metrics, and document these decisions in your architecture planning checklist alongside testing and data access strategies.
This planning approach supports PostgreSQL, MySQL, and H2 databases accessed through Spring Data JPA for relational data or Spring Data MongoDB for document storage, with explicit data access layer design as part of the Repository pattern in your layered architecture.
Planning testing with JUnit 5, Mockito, and Testcontainers and observability with Spring Boot Actuator upfront prevents costly rework, ensures comprehensive coverage from the start, establishes clear monitoring strategies, and reduces technical debt by embedding these practices into the initial architecture.
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