Documenting code, one commit at a time.
In our capevents project, we recently reached a significant milestone: the implementation of a full event management lifecycle. Managing events requires more than just storing data; it demands a clear transition from draft to public availability, and eventually, archiving.
When building robust APIs with Spring, managing complex pagination parameters can often lead to messy documentation. In the capevents project, we recently discovered that relying on Spring's native Pageable object in controller methods creates ambiguity in Swagger (OpenAPI) documentation.
Using Pageable is elegant for backend development because
In event-driven applications, knowing exactly when a resource was born is as important as the data itself. In the capevents project, we recently addressed a common oversight in entity modeling: the lack of standardized lifecycle tracking for our User domain.
When we build systems, it is easy to focus on state and attributes, often treating time as an
In the capevents project, as the volume of events grows, fetching all records in a single request becomes a bottleneck. To maintain system performance and a responsive user interface, we have introduced pagination for our event listing and search endpoints.
Imagine trying to read an entire encyclopedia by spreading all pages across your floor at
Building a robust web platform is a balancing act of ensuring the data layer stays consistent while the interface remains responsive. In the development of the WissemBagga/capevents project, our focus shifted toward finalizing the integration between our Spring-based backend and the frontend, ensuring that our architectural patterns were working in harmony.
