Beyond the Spaghetti: 5 Strategic Moves for Low Coupling
Coupling acts as the invisible glue that holds software together, but too much of it creates a rigid, fragile mess. When every module knows too much about its neighbor, a simple change in one file can trigger a cascade of bugs across your entire system. Achieving low coupling isn't about isolating every line of code; it's about making deliberate choices to reduce interdependence so your project remains flexible and testable as it grows.
Break the Inheritance Chain
Many developers reach for inheritance as their first tool for code reuse, but deep hierarchies create some of the strongest coupling possible. When a subclass relies on the internal state or specific implementation of a parent, like a specialized
Separate Creation from Execution
One of the most common design smells is a class that handles its own resource creation. If an email client is responsible for both configuring an SMTP server and sending messages, it's tightly coupled to the
Use Protocols for True Abstraction
Splitting classes is a start, but true decoupling requires abstraction. Instead of depending on a specific concrete class, depend on a send_mail method, not that it inherits from a specific library's base class. This removes the hard dependency on third-party packages from your core logic, making your system incredibly modular.

Avoid Inappropriate Intimacy
Functions often suffer from "inappropriate intimacy" when they accept a large data object but only use one small piece of it. If a breadcrumb generator takes a massive Location object just to read a single city string, it is unnecessarily coupled to the structure of Location. Pass only what the function needs. This makes the function more robust against changes in unrelated data structures and improves its reusability across different parts of your application.
The Power of Intermediate Structures
When logic feels too tangled to separate, introduce an intermediate data structure as a buffer. This technique serves as a translation layer between different domains. For example, instead of a graphics engine talking directly to a physics engine, they can both interact with a simplified 3D scene representation. This allows either side to evolve independently without breaking the other, providing a clean boundary for complex systems.
Effective software design is a series of trade-offs. While you can never eliminate coupling entirely, applying these strategies ensures that your code remains a collection of flexible, independent modules rather than a single, monolithic block.

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