Tim Santeford 
I’ve always believed that maintaining up-to-date API documentation is crucial for building reliable software. In my latest project, I wanted to integrate Swagger UI into my Express server, but with a twist—I needed the documentation to update automatically whenever I made changes to my API routes. After some research and experimentation, I discovered a workflow
As I work with React Query, I often find myself needing to manage the status of mutations to ensure a seamless user experience. This involves disabling fields and buttons while data is being updated or created, preventing users from triggering multiple requests simultaneously. In this post, I’ll share how I handle mutation status using React
As I began working on my latest React project, I realized the importance of incorporating voice input to enhance user experience. This feature allows users to interact with the app using voice commands, which can be particularly useful for accessibility and convenience. In this post, I’ll walk you through how I implemented voice input in
Keeping Your React App Up-to-Date: A Step-by-Step Approach As a developer, one of the challenges I’ve faced is ensuring that users of my React application always interact with the latest version. This becomes particularly important when users keep a tab open to the site for days or even weeks. During this time, if updates are
Apache Spark and Apache Flink are two of the most popular open-source frameworks for large-scale data processing. While both are designed to handle big data workloads, they have distinct architectures, processing models, and use cases. Here’s a comprehensive comparison to help you understand their differences: 1. Processing Paradigm 2. Latency and Throughput 3. Fault Tolerance
I’ve spent a lot of time refining my Python code, and one technique that has greatly improved my projects is the use of the built-in super() function. In my early days, I used to hardcode parent class names when calling inherited methods. Over time, I realized that super() not only simplifies the code but also
I’ve been working with Apache Flink for some time now, and I often find myself deciding between using the map or the flatMap operators. Recently, I encountered a scenario where choosing the right transformation became crucial for my data pipeline. Here’s a quick comparison I rely on when making that decision: • map - Purpose: Applies
I remember the first time I worked on an application that needed custom 404 handling. I kept thinking, “There must be an elegant way to catch these errors and redirect the user to a stylish ‘Not Found’ page.” As it turns out, React Query and React Router together make this process feel quite intuitive, and
I’ve recently discovered how flexible Waveterm can be when it comes to customizing my terminal experience. One feature that truly caught my attention was the ability to create waveform widgets. In this post, I’ll walk you through the process of building a YouTube subscriptions widget by editing a JSON configuration file. I’ll explain each step
I recently needed a reliable way to download transcripts from YouTube videos using Python. I was looking for a straightforward solution that wouldn’t require a complex setup or extensive third-party libraries. After exploring a few options, I decided to share my experience with a simple Python script that leverages the youtube-transcript-api package. In this post,
As a developer, I often encounter scenarios where I need to determine the type of media a URL points to before rendering it in my application. This could be crucial for optimizing user experience, ensuring compatibility, or simply for organizing content effectively. In this post, I’ll walk you through different methods I use to achieve
Handling sensitive information is a critical aspect of software development, especially when dealing with user data. Whether it’s masking Social Security Numbers (SSNs), email addresses, or URLs, ensuring that this data is appropriately scrubbed is essential for maintaining privacy and security. In this post, I’ll share my experience creating a Python function that efficiently scrubs