Developers can leverage ChatGPT to streamline the adoption of clean architecture in enterprise systems by automating various tasks. It can effectively generate boilerplate code for core architectural layers, such as entities, use cases, and data transfer objects, based on specific requirements, accelerating initial setup. ChatGPT assists in validating design decisions by suggesting optimal component interactions and ensuring strict adherence to the dependency rule, thereby preventing unwanted framework or database dependencies in the application core. Furthermore, developers can use it to refactor existing codebases, receiving suggestions to improve separation of concerns and maintainability according to clean architecture principles. ChatGPT also serves as an invaluable tool for generating detailed documentation
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