Documenting code, one commit at a time.
In the ims-api project, we're building the backbone for an Institution Management System. A core feature is the ability for new institutions to register themselves, which involves creating not just an institution record but also an initial director user and their associated profile.
In the ims-api project, our focus is on building a robust and secure API platform. Recent updates have significantly bolstered our API's resilience by introducing stricter password policies and enhancing type safety practices. These changes are crucial for maintaining data integrity and reducing runtime errors, especially when dealing with sensitive user information.
Building robust APIs requires attention to detail, from seamless database interactions to consistent code quality. In the ims-api project, part of the larger ims-platform, recent efforts focused on enhancing the developer experience by tackling common pain points related to script execution and linting configurations.
Our ims-api project, built with Express.js, was initially structured with the application definition and server startup logic in a single file. This approach, while straightforward for simple projects, quickly became a bottleneck for effective testing and modular development. Every time we wanted to test an API endpoint, we'd inadvertently spin up the entire server, leading to slower, more
In any evolving API, the need to add new registration types is a common occurrence. Whether it's for different user roles, partners, or, in our case, institutions, a robust and well-structured approach is key. This post delves into how we approached adding a new institution registration endpoint within our ims-platform/ims-api project, leveraging Express.
Building robust APIs requires diligent testing. In our ims-platform/ims-api project, ensuring every new feature and bug fix maintains the high standard of reliability is paramount. This recent work focused on enhancing our test suite, specifically by implementing comprehensive mocked tests that cover both success and failure paths.
While integration tests are
The ProvidenceAPI-Front project appears to be undergoing active development and deployment, with efforts focused on delivering a stable and up-to-date frontend experience.
Recent activity indicates a focus on deploying and reviewing updates to the frontend application. The Vercel bot has provided status updates on project deployments, indicating
This post discusses how to stay informed about the deployment status of the ProvidenceAPI-Front project. The project leverages Vercel for continuous integration and deployment, providing automated updates on build and deployment outcomes.
The core of this process relies on Vercel's integration with GitHub. Whenever changes are pushed to the repository, Vercel
In software development, it's tempting to jump into complex solutions prematurely. But sometimes, the simplest approach is the most effective.
We often strive for elegant, all-encompassing solutions from the start. However, this can lead to over-engineering – building systems that are more complex than necessary, making them harder to maintain and debug.
Imagine a scenario: your application displays seemingly random data. After hours of debugging, you trace the issue back to a caching mechanism that isn't refreshing properly. This is a story about the pitfalls of caching and how to manage it effectively.
Caching is a powerful technique for improving application performance. By storing frequently accessed data in memory, we can
