Series
7 parts, listed in reading order.
Technical note
In the ever-evolving landscape of Software Engineering, staying up-to-date with the latest technologies is crucial. Earlier this year, I wanted to refresh my skills with Node.js (Express.js), having been a while since I…
Technical note
To kick off this intriguing and challenging journey, we'll start by building the AI service, the final component of our system’s architecture. We'll exploit the power of asynchronous programming in Python via the asyncio…
Technical note
With the AI service completed, we now focus on setting up the base backend service. As outlined in the system's architecture, our main backend will be powered by Node.js with Express.js, using MongoDB as the database.
Technical note
This series's previous article saw us build an OAuth authentication flow via GitHub. In this article, we'll continue adding APIs to the backend and specifically, implementing all the APIs related to transaction…
Technical note
In this part of the series, we will implement our backend service's WebSocket handler and begin building the frontend. This will enable real-time communication between the backend and frontend, allowing us to display…
Technical note
In this article, a detour from the ongoing series on building a financial data analyzer, I focus on the critical aspect of rigorously testing the server. Ensuring appropriate and accurate data handling is paramount.…
Technical note
In this part, we'll integrate the finance dashboard we bootstrapped and the improved analyzer model into our application. Specifically, we will integrate the WebSocket-backed server with our SvelteKit frontend.