Unlocking the Secrets of Pragmatic Clean Architecture for AI Projects
Many developers struggle with structuring Python AI applications, often leading to confusing “spaghetti code.” Here’s how to harness Clean Architecture without the rigidity:
- Adaptability Over Dogmatism: Don’t force your code into strict layers. Embrace a flexible structure tailored to your project’s needs.
- The Four Virtual Layers:
- Domain Layer: Defines core business logic.
- Application Layer: Coordinates workflows seamlessly.
- Infrastructure Layer: Manages external dependencies like APIs and databases.
- Serving Layer: Interfaces with the outside world through REST or CLI.
Avoid Common Pitfalls:
- Misinterpreting layers as physical folders.
- Over-engineering with unnecessary abstractions.
Embrace Simplicity: The goal is an architecture that is easy to update, test, and understand.
Ready to master the art of AI architecture? Join the conversation, share your thoughts, and let’s elevate the way we build AI!
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