This repository is the official Spring Boot getting started guide (gs-spring-boot). It provides a minimal web application that demonstrates Spring Boot's auto-configuration, embedded Tomcat, and actuator endpoints. The codebase consists of a single REST controller returning a static greeting string, a Spring Boot application class with a CommandLineRunner that lists all beans, and corresponding unit and integration tests. The complete variant includes Spring Boot Actuator for production-ready features. The repo serves purely as a tutorial scaffold, not a production-grade application. The architecture is a trivial monolith with no external services, database, or complex data flow. All source files are framework boilerplate generated or inspired by Spring Initializr. There are no reusable components or non-obvious patterns. The value lies in its documentation and as a starting point for learning Spring Boot. Despite its simplicity, the repository is actively maintained with up-to-date dependencies (Spring Boot 4.0.x, Kotlin 2.2.x, Gradle 9.3.x) and CI pipelines. It includes both Java and Kotlin implementations, and both Maven and Gradle build systems.
This is a barebones PHP application designed as a getting-started template for deploying to Heroku. It uses the Slim 4 framework with PHP-DI dependency injection, Twig templating, and Monolog logging. The application has a single route (GET /) that renders a static landing page with links to Heroku documentation. The codebase is minimal and clean, following modern PHP practices, but it is intentionally simple—essentially boilerplate for a 'Hello World' style demo. There is no complex business logic, database interaction, or reusable components beyond the standard Slim application bootstrap pattern. The repository serves as a reference for Heroku's PHP deployment workflow and is not intended for production use.
This repository is a comprehensive collection of example applications for the Apache KIE ecosystem, specifically Kogito, Drools, and jBPM. It demonstrates how to build cloud-native business automation services using DMN decision models, PMML predictive models, DRL rules, and BPMN process orchestration. The examples are structured as runnable microservices for both Quarkus and Spring Boot runtimes, covering a wide range of capabilities including event-driven messaging with Kafka, persistence with PostgreSQL/MongoDB/Infinispan, security with Keycloak OIDC, monitoring with Prometheus/Grafana, and deployment on Kubernetes/OpenShift. The repository serves primarily as a learning and demonstration resource, not as a production library. It features high duplication across the two runtime stacks, with many near-identical examples maintained in parallel. The code is functional and follows standard Kogito patterns, but the emphasis is on showcasing features rather than providing reusable, production-grade components. Some examples use snapshot versions and older infrastructure configurations, indicating active development but also potential drift.
This repository is a Chinese-language introductory guide to LangChain, a framework for building applications powered by large language models. It consists solely of documentation (README.md, CHANGELOG.md, SUMMARY.md) and a sample text file (data/lg_test.txt) used in examples. There are no executable code files, tests, or reusable software components. The guide covers basic LangChain concepts (loaders, documents, text splitters, vectorstores, chains, agents) and provides code snippets for common tasks like question answering, web search, text summarization, and building a local knowledge base. However, the code examples are embedded in the README and are not maintained as standalone modules. The repository has not been updated since May 2023, and given the rapid evolution of LangChain, the content is likely outdated and the code snippets may no longer work with current versions. It serves primarily as a historical reference or learning material for the LangChain ecosystem as of early 2023.