This repository is the **Wow** framework, a comprehensive, production-grade event-sourcing and CQRS framework for building reactive, cloud-native applications in Kotlin and Java. It provides a full stack: domain modeling with aggregates, commands, events, and sagas; reactive command/event buses with multiple backends (MongoDB, Redis, Elasticsearch, Kafka); a query gateway with rich filter DSL and snapshot/event-stream queries; automatic OpenAPI generation; a compensation subsystem with a React dashboard for managing failed executions and retries; observability via OpenTelemetry; and BI tooling for ClickHouse. The architecture is modular (30+ Gradle modules) but deployable as separate services (e.g., compensation server, example server). It is actively developed with extensive tests (unit, contract, integration, JMH benchmarks) and comprehensive documentation.
Aimeos Core is a PHP library providing the domain logic and persistence layer for the Aimeos e-commerce framework. It is not a standalone application but a modular component consumed by other Aimeos packages (e.g., Laravel adapter, admin UI). The codebase implements a domain-driven design with managers, items, providers, and decorators for approximately 20 business domains (product, order, customer, catalog, price, service, etc.). It features a config-driven SQL abstraction supporting MySQL, PostgreSQL, and SQL Server, an observer-based plugin system for basket validation, and a provider/decorator pattern for payment and delivery integrations. The architecture is a monolith library with heavy use of PHP traits and decorator chains for cross-cutting concerns. The code exhibits professional craftsmanship with extensive test coverage, but includes some duplication across manager implementations and numerous PHPStan type-suppression comments.
This repository implements a food ordering system using a microservices architecture with four services: customer, order, payment, and restaurant. It employs Domain-Driven Design, clean/hexagonal architecture, and patterns such as Saga for distributed transactions, Outbox for reliable messaging, and CQRS for separating commands and queries. Services communicate asynchronously via Kafka with Avro serialization. The system includes REST APIs for customer and order operations, and uses Spring Boot with JPA for persistence.
BookWith is a next-generation e-reader application that enhances traditional book reading with AI capabilities. The system allows users to upload and read EPUB books, annotate text, interact with an AI chatbot for contextual questions about the content, and generate AI-powered podcasts from book material. The architecture follows a client-server model with a Next.js/React frontend and a FastAPI/Python backend, employing domain-driven design principles. Key features include a multi-layer memory system for maintaining conversation context, semantic search via Weaviate vector database, and integration with external AI services like Gemini and Google Cloud Text-to-Speech. The frontend uses modern React patterns with Zustand/Jotai for state management, Tailwind CSS for styling, and shadcn/ui-inspired components. The backend utilizes PostgreSQL for relational data, implements clean architecture with separate domain/application/infrastructure layers, and provides a well-structured API with automatic OpenAPI schema generation.