Documenting code, one commit at a time.
In the JavaUserManagerAPI project, we recently focused on standardizing our approach to error management. As the application grows in complexity, managing various failure states—ranging from database connectivity issues to invalid user inputs—can lead to fragmented and unmaintainable code.
Previously, exception
Starting a new project often feels like standing before a blank canvas, but with Spring Boot, the structure practically builds itself. I recently kicked off the JavaUserManagerAPI project, focusing on establishing a clean, maintainable foundation for user management using industry-standard patterns.
To ensure our API remains scalable, I implemented the Repository
In the JavaUserManagerAPI project, we recently shifted our focus toward improving the robustness of our data layer. Previously, our internal entity objects were directly exposed in the API layer. This approach creates tight coupling between our database schema and our public-facing contract. To resolve this, we introduced Data Transfer Objects (DTOs) and automated mapping logic.
Starting a new project is always an exciting phase of the development lifecycle. Recently, I began working on the EIS-apiBancaria project, a new banking API designed to handle financial transactions securely and efficiently. Setting the foundation correctly from day one is critical when dealing with financial data, so I opted for a robust stack involving Spring Boot,
