ChatGPT can significantly streamline the implementation and maintenance of clean architecture in distributed systems by acting as a powerful design assistant. It can generate initial boilerplate code for core domain entities and use cases, ensuring strict adherence to architectural boundaries and dependency rules across various microservices. Furthermore, ChatGPT excels at proposing consistent API contracts and data transfer objects, preventing framework or database coupling from creeping into the inner layers of individual services. By analyzing proposed designs or existing code, it can swiftly identify architectural anti-patterns, such as direct database access within use cases or framework reliance in domain logic, and suggest refactoring strategies. This capability extends to creating detailed architectural documentation and outlining robust testing strategies that respect the isolation of each clean architecture layer, enhancing overall system clarity and maintainability. More details: https://go.eniro.dk/lg/ni/cat-2611/http:/abcname.com.ua