Cache coherence makes sure that data stays consistent across multiple caches in distributed systems. There are two types of cache coherence protocols: snooping and directory-based protocols. In snooping protocols, caches "listen" on a bus, updating or invalidating copies based on other caches' actions. In directory-based protocols, a central directory tracks data location and state, coordinating updates and invalidations.
Signals are variables that automatically track where they're used, updating the UI only when their value changes. This offers finer control over UI updates compared to React's top-down re-rendering. A proposal for Signals as a native JavaScript feature has reached Stage 1, which means that it could be standardized across frameworks. There's a library called use-signals which shows how Signals can fit into React while still letting React be React.
This is a detailed breakdown of the Node.js Performance API, which can be used to track performance metrics, add custom metrics, and view network timing data for resources fetched by your app. It covers multiple methods of the API, such as mark(), which adds markers to the timeline, and measure(), which calculates the duration between two markers.
To learn data engineering effectively, be consistent by setting small goals daily. Portfolio projects also matter when getting hired, especially if you're an entry-level engineer. Communities are useful to learn more and have support on tough days or weeks.
To make clear engineering architecture diagrams, choose the right diagram type for your concept and prioritize the core elements. Don't try to express everything in one diagram.
FileKitty lets you select multiple files from a directory and merge them into a single file. This is ideal for combining files before using them in a single format or for easily pasting file contents into an LLM to provide context.
Google's new round of layoffs affects teams working on Flutter, Dart, and Python. Flutter's co-founder recently left Google, which makes the future of Flutter and Dart more uncertain. The entire US-based Python team has been disbanded, with work potentially shifting to Munich in a cost-cutting move.
Josh Watzman, a software engineer at Facebook, and his coworker built an LLM-powered quiz game that became popular online. They found LLM APIs simple to use and found that for a good user experience, it was best to immediately stream LLM responses. Since LLMs are functionally text prediction tools, they are great for language tasks, but not as good for interpreting non-textual information. Interestingly, immediate streaming of LLM responses is crucial for a positive user experience, even if it doesn't reduce overall response time.