spring-boot-4

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Source code for the course: Spring Boot 3, Spring 6 and Hibernate for Beginners

deepseek java sdk

Backend scaffold for Sz-Admin, built with Spring Boot 4, featuring RBAC, dynamic menus, code generation, data scope permissions, Excel import/export, OSS integration, and WebSocket support.

Spring Boot Boilerplate is a starter kit. This project includes : Spring Boot(4.1.1), Spring Data JPA, Spring Validation, Spring Security + JWT Token, PostgreSQL, Mapstruct, Lombok, Swagger (Open API)

The missing developer UI for Spring Boot and Quarkus!

✨ Saas Enterprise Resource Plan (开源Sass AI ERP系统)

Source code for the course: Spring Boot 4, Spring 7 and Hibernate for Beginners

Source code for the course: Spring Boot Unit Testing

This is an example application to show howto use Spring Boot 4, Angular 22, Kafka with Streams and Mongodb with the virtual threads of Jdk 25 in a clean architecture and a Helm chart for the Kubernetes setup. Structurizr is used for C4 diagrams. Standalone Components are used with Angular.

基于 Spring AI 2.0 的生产级 ERP 智能助手｜Production-ready ERP AI assistant with RAG, Tool Calling, chat memory, dynamic SQL tools, multi-tenancy and ECharts.

High-performance, zero-copy JSON and Proto JSON serializer for Kotlin Multiplatform (KMP) and Ktor, powered by KSP2

Source code for the course: Spring Boot 4 Project - Build a Job Portal Web Application

Sample project showcasing different capabilities from Java Spring AI with an Angular frontend

Spring Kafka with unit test example

This project shows howto use Angular 22 and Spring Boot 4 and Jpa with a Maven build in clean architecture. For development/production the H2/Postgresql databases are used. The databases are managed with Liquibase. Standalone Components are used with Angular. The Docker image uses the AOT cache of project Leyden.

Collection of 350+ best practices for Java persistence performance in Spring Boot 4 / Hibernate 7 applications provided by Vlad Mihalcea and Anghel Leonard

Personal Portfolio Website (Charity, GitHub, & Brew APIs built with Spring Boot & ReactJS)

A project to show howto use SpringAI with Ollama to chat with the documents in a library. Documents are stored in a normal/vector database. The AI is used to create embeddings from documents that are stored in the vector database. The vector database is used to query for the nearest document. That document is used by the AI to generate the answer.

Seoul National University TimeTable service