Prompt patterns is a framework for organizing AI-driven system design through structured prompt engineering and domain-driven development methodologies. It provides a library of standardized interaction strategies designed to improve the consistency, accuracy, and logical reasoning of large language model outputs. By applying these patterns, users can translate complex business scenarios into structured domain models and technical specifications. The project distinguishes itself by integrating domain-driven design principles directly into the prompting workflow. It utilizes techniques such as
This project is a technical resource and pattern library for building enterprise applications with Python. It serves as a guide for implementing clean architecture, providing a framework for separating core business logic from infrastructure and external frameworks. The material focuses on Domain-Driven Design and the application of architectural patterns to maintain complex business requirements. It provides specific guidance on the Repository pattern for data abstraction, Command-Query Responsibility Segregation for optimizing read and write paths, and the use of dependency inversion to dec
This project serves as a comprehensive educational resource for implementing modular monoliths and microservices within .NET environments. It focuses on applying domain-driven design principles to manage complex business logic, providing a structured approach to building systems that can evolve alongside changing requirements. The architecture is defined by its emphasis on modularity and clear boundaries, utilizing vertical slices and bounded contexts to organize code by business process rather than technical layer. It distinguishes itself through a systematic migration framework that allows
This project is a reference implementation of Domain-Driven Design patterns, functional domain modeling, and event-driven state coordination. It demonstrates the application of strategic and tactical design patterns to manage complex business requirements. The implementation utilizes a functional domain model with pure functions and immutable objects to manage state transitions and side effects. It features a Command Query Responsibility Segregation architecture to separate read and write models, alongside event-driven coordination to maintain consistency across autonomous business boundaries
Este proyecto es un framework de Domain-Driven Design (DDD) y metodología de diseño estratégico. Proporciona un flujo de trabajo estructurado para traducir el conocimiento empresarial en implementaciones técnicas, guiando la descomposición de dominios empresariales complejos en modelos de software manejables.
Las características principales de ddd-crew/ddd-starter-modelling-process son: Strategic Domain Decomposition, Core Domain Identification, Bounded Context Definition, Collaborative Domain Modeling, Collaborative Knowledge Discovery, Domain Modeling Workflows, Organizational Alignment, Team-Boundary Alignment.
Las alternativas de código abierto para ddd-crew/ddd-starter-modelling-process incluyen: phodal/prompt-patterns — Prompt patterns is a framework for organizing AI-driven system design through structured prompt engineering and… cosmicpython/book — This project is a technical resource and pattern library for building enterprise applications with Python. It serves… evolutionary-architecture/evolutionary-architecture-by-example — This project serves as a comprehensive educational resource for implementing modular monoliths and microservices… ddd-by-examples/library — This project is a reference implementation of Domain-Driven Design patterns, functional domain modeling, and… tlbootcamp/tlroadmap — tlroadmap is an engineering leadership roadmap and management curriculum designed to guide the transition from… matthewrenze/clean-architecture-demo — This project serves as a reference implementation for applying clean architecture principles within a C# environment.…