Software development can often feel like solving a complex puzzle. While Object-Oriented Programming (OOP) offers a powerful approach for building scalable and maintainable systems, developers frequently encounter recurring design challenges.
This is where Design Patterns come into play.
Design patterns are proven, reusable solutions to common software design problems. They are not rigid algorithms but flexible blueprints that help you build robust, adaptable, and maintainable code.
By understanding and applying these patterns, developers can write cleaner code, avoid reinventing the wheel, and build systems that are easier to maintain, extend, and collaborate on.
This repository covers the most important and widely used design patterns in software engineering:
- 🔹 Singleton – Ensure a class has only one instance and provide a global point of access.
- 🔹 Factory – Create objects without specifying the exact class of object to create.
- 🔸 Adapter – Allow incompatible interfaces to work together.
- 🔸 Facade – Provide a simplified interface to a complex subsystem.
- 🔸 Proxy – Control access to another object, often used for lazy initialization, logging, etc.
- 🔸 Decorator – Add responsibilities to objects dynamically without altering their structure.
- 🔸 Composite – Compose objects into tree structures to represent part-whole hierarchies.
- 🔸 Bridge – Decouple an abstraction from its implementation so that the two can vary independently.
- 🔹 Strategy – Define a family of algorithms and make them interchangeable.
- 🔹 Template Method – Define the skeleton of an algorithm, letting subclasses redefine certain steps.
- 🔹 Iterator – Provide a way to access elements of a collection sequentially without exposing its underlying structure.
- 🔹 Observer – Define a one-to-many dependency so that when one object changes state, all its dependents are notified.
- 🔹 State – Allow an object to alter its behavior when its internal state changes.
- 🔹 Command – Encapsulate a request as an object, thereby allowing for parameterization and queuing of requests.
- ✅ Improve code readability and reusability
- ✅ Promote best practices and team collaboration
- ✅ Enable extensibility and modularity
- ✅ Reduce technical debt and enhance maintainability
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