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6 个仓库

Awesome GitHub RepositoriesImplementation Patterns

Libraries and frameworks providing reference implementations for architectural patterns like DDD and CQRS.

Explore 6 awesome GitHub repositories matching part of an awesome list · Implementation Patterns. Refine with filters or upvote what's useful.

Awesome Implementation Patterns GitHub Repositories

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  • threedotslabs/watermillThreeDotsLabs 的头像

    ThreeDotsLabs/watermill

    9,760在 GitHub 上查看↗

    Watermill is a Go library for building event-driven applications. It provides a framework for implementing event-driven architectures through a consistent interface for message publishing and subscribing, featuring a pub/sub message router and event stream processing pipelines. The library uses interface-based abstractions to decouple message producers and consumers from the underlying message broker. This allows different messaging technologies to be swapped via plugin-based broker integration. It employs a router-driven dispatch system and middleware-based pipelines to manage cross-cutting

    Event-driven application building with Pub/Sub and CQRS middleware.

    Gocqrsevent-drivenevent-sourcing
    在 GitHub 上查看↗9,760
  • threedotslabs/wild-workouts-go-ddd-exampleThreeDotsLabs 的头像

    ThreeDotsLabs/wild-workouts-go-ddd-example

    6,348在 GitHub 上查看↗

    This project is a reference implementation of Domain-Driven Design, Clean Architecture, and Command Query Responsibility Segregation (CQRS) patterns using the Go programming language. It serves as a sample application to demonstrate how to decouple core domain rules from infrastructure and delivery mechanisms. The system is built as a gRPC microservices architecture, utilizing type-safe communication and service contracts. It implements an event-driven architecture to manage eventual consistency and asynchronous processing, specifically employing the Outbox pattern to ensure reliable messagin

    Production-ready Go example using Clean Architecture and gRPC.

    Goclean-architecturecqrsddd
    在 GitHub 上查看↗6,348
  • ddd-crew/ddd-starter-modelling-processddd-crew 的头像

    ddd-crew/ddd-starter-modelling-process

    5,890在 GitHub 上查看↗

    该项目是一个领域驱动设计 (DDD) 框架和战略设计方法论。它提供了一个结构化的工作流,用于将业务知识转化为技术实现,指导将复杂的业务领域分解为可管理的软件模型。 该方法论侧重于战略领域分解,识别核心领域以指导“自建还是购买”决策,并定义限界上下文以建立系统职责。它采用协作式可视化技术,在技术和非技术团队成员之间建立问题领域的共享思维模型。 该框架涵盖了自主团队结构与领域边界的对齐,以优化交付流程。它进一步通过将端到端业务用例映射到子领域之间的交互,解决了松耦合架构的设计问题。

    Step-by-step guide for discovery and bounded context design.

    在 GitHub 上查看↗5,890
  • potpie-ai/potpiepotpie-ai 的头像

    potpie-ai/potpie

    5,161在 GitHub 上查看↗

    Potpie is an LLM codebase analysis platform and multi-agent orchestration framework designed to act as an AI software engineer. It parses repositories into a structured code knowledge graph, enabling AI agents to perform multi-hop reasoning, dependency tracing, and grounded technical analysis across large codebases. The system distinguishes itself through a spec-driven development framework where agents generate detailed technical specifications and architecture plans before implementing multi-file code changes. It utilizes a durable execution engine to coordinate specialized AI personas for

    Analyzes existing knowledge graphs to reuse abstractions and follow established naming and error-handling conventions.

    Pythonagentsai-agentsai-agents-framework
    在 GitHub 上查看↗5,161
  • codelytv/php-ddd-exampleCodelyTV 的头像

    CodelyTV/php-ddd-example

    3,142在 GitHub 上查看↗

    🐘🎯 Hexagonal Architecture DDD CQRS in PHP using Symfony 7

    PHP skeleton implementing Hexagonal Architecture and event bus patterns.

    PHP
    在 GitHub 上查看↗3,142
  • patchlevel/event-sourcingpatchlevel 的头像

    patchlevel/event-sourcing

    203在 GitHub 上查看↗

    An event sourcing library, complete with all the essential features, powered by the reliable Doctrine ecosystem and focused on developer experience.

    Event sourcing library for PHP with snapshot and projection support.

    PHP
    在 GitHub 上查看↗203
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  • Convention-Aware ImplementationAI-driven code generation that reuses project-specific abstractions and naming conventions. **Distinct from Implementation Patterns:** Distinct from Implementation Patterns, which are reference libraries; this is the AI's ability to adapt to an existing project's specific conventions.