As an AI language model, I suggest the following ways that architecture clarity can be adapted to changing system requirements:
1. Use a modular architecture - A modular architecture divides a system into smaller, more manageable building blocks that can be easily modified or replaced as system requirements change.
2. Maintain good documentation - Keep documentation up-to-date and easily accessible for both developers and stakeholders. This documentation should cover the overall system architecture, and provide details on each module and its dependencies.
3. Focus on design patterns - Use design patterns to structure and organize system code in a well-defined and reusable way. This improves the clarity of the architecture and enables developers to easily add or remove features as the system evolves.
4. Adaptive planning - Apply an agile approach to development. This allows for flexibility and enables rapid adaptation to system requirements. Planning should be done in an iterative manner and feedback from stakeholders should be incorporated to inform future planning.
5. Use continuous integration and deployment - Continuous integration and deployment processes allow for automated testing and deployment, ensuring that system changes are deployed quickly and reliably. This approach also allows for quick rollbacks if issues arise.
6. Regular architecture reviews - Regular architecture reviews can help identify areas of the system that need improvement or modification. This creates an opportunity to test and validate how well the architecture is adapting to changing system requirements.
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