Documenting code, one commit at a time.
Designing a scalable data layer is a foundational challenge in any growing application. As we continue to develop the Ryuu-no-Mi marketplace, we are shifting our focus toward a more robust architectural approach by implementing the Repository Pattern to decouple our business logic from database-specific implementation details.
Directly querying
Recently, the team at Ryuu-no-Mi/marketplace embarked on a mission to improve our core service architecture. As our marketplace grew, we noticed that our business logic was becoming tightly coupled with our infrastructure, making it increasingly difficult to test and maintain.
I have recently started working on the Ryuu-no-Mi/marketplace project, an initiative aimed at building a scalable digital marketplace. A critical first step in any data-driven application is defining the relational structure that will serve as the backbone of the entire system.
To ensure type safety and ease of maintenance, I have chosen to
Maintaining a clean separation of concerns is the difference between a project that evolves gracefully and one that becomes a tangled web of dependencies. Working on the Ryuu-no-Mi/marketplace project, we recently underwent a significant refactor to transition the codebase toward a formal Hexagonal Architecture (Ports and Adapters).
In the ongoing development of LearnHub, a key area of focus is establishing a robust and maintainable authentication system. A critical step in achieving this involves implementing core User and Token entities, meticulously designed with a clean architecture approach that leverages ports and interfaces.
