React Server Components (RSCs) allow server-exclusive code, which can lead to better performance. However, this means that popular styling options, like CSS-in-JS libraries which rely on React's lifecycle, can conflict with RSCs. RSC's server-side focus clashes with the browser-centric nature of traditional CSS-in-JS libraries, but there are “zero-runtime” CSS-in-JS libraries that are fully compatible with RSCs today. If your application doesn't use these and already has a good “time-to-interactive” time, then migrating to these libraries is not worth it.
This article is a detailed walkthrough in building a basic code formatter, with code examples along the way. To create a code formatter, first transform the code into an abstract syntax tree (AST) and then build a formatting tree using nodes that represent concepts like text, whitespace, and indentation. Traverse the formatting tree, rendering each node into the final formatted code.
Database indexes are similar to organized lists that help you find information quickly. To be most effective, indexes should align closely with how you typically query your data. Indexes don't magically work well at random and take careful thought to get correct.
A code author should have a growth mindset and approach code reviews as an opportunity to learn. A fixed-mindset code author views feedback during code reviews in a defensive way.
An engineer is dealing with serious family matters that requires them to put in less effort at work. While they want to tell their manager, commenters tell the original poster not to. Instead, they should continue working, albeit slower, and not tell the manager anything as nobody will probably notice.
Data engineers can avoid burnout and build effective data platforms by aligning the infrastructure with business needs, automating tasks, and prioritizing reliability. They should monitor infrastructure proactively and plan for failures ahead of time.
Semantic Autocomplete is a performant React component that extends Material UI's autocomplete component with a local, quantized ML model. The model is used to perform similarity search and helps match by meaning, not just letters. The component is full-featured and doesn't require any extending.
This author attempted to solve the One Billion Row Challenge using CUDA to much success. While a pure C++ solution took 16.5 minutes, the CUDA solution achieved a 60X speedup, completing in 16.8 seconds.
Researchers have discovered that overtrained neural networks can develop unexpected and innovative solutions to problems, a phenomenon they have termed “grokking". These grokked networks solve problems like modular arithmetic using mathematical manipulations that mimic trigonometric functions.
This author, who develops an app that controls monitor settings, has observed unusual monitor bugs over the years. These bugs include monitors randomly swapping positions after standby, turning monochrome unexpectedly, blacking out after receiving specific commands, and ignoring input switching or mute commands. Monitors often have faulty firmware and weird workarounds to these problems.
A cat woke up a developer in the middle of the night just as a DDoS attack was overwhelming their company's website, allowing them to handle it successfully.