Directed Acyclic Graphs: DI (Day 3)
<p>In our previous explorations, we’ve unraveled the concept of Dependency Injection (DI), a powerful technique that allows the creation and management of a class’s dependencies from outside the class itself. With tools like Dagger, this process is automated, streamlining both constructor and field injection.</p>
<p>However, as we venture further into the intricacies of DI, a pivotal question emerges: How does it all work, especially in complex projects with numerous dependencies? How does Dagger discern when to create a specific dependency and oversee its lifecycle?</p>
<p>To shed light on these questions, we must first delve into a foundational mathematical concept known as Directed Acyclic Graphs (DAGs). This concept not only underpins the mechanics of DI but also provides a clear roadmap for understanding how dependencies are orchestrated.</p>
<p>Join me as we embark on this fascinating journey, bridging the worlds of mathematics and programming, to uncover the hidden mechanisms that make Dependency Injection a cornerstone of modern software development.</p>
<p><a href="https://medium.com/@zuhayr.codes/directed-acyclic-graphs-di-day-3-3ee6b611e24b">Click Here</a></p>