Writing software: JavaScript, Node.js, web development, visual programming, Linux, tools and tutorials.
430 posts · page 6 of 18
The post outlines a vision for creating ultra‑lightweight UI libraries in JavaScript powered by AI: from simple accordion components built on the native `<details>` element to…
The author explains how they used AI to dissect Bootstrap’s Offcanvas component, first gathering a 12‑point list of its features (declarative show/hide, accessibility, backdrop…
Today, AI produced a complete module called yokel that automates local JavaScript module linking. The author praises its flawless generation, noting it required no manual edits…
In this post the author shares his latest experiment with a tiny “ReactiveArray” implementation: an Array subclass that watches property accesses (via regex and function support)…
The post envisions a future where JavaScript powers a versatile, web‑based ecosystem: persistent objects that survive page reloads, virtual file systems and on‑screen keyboards,…
This post introduces **mlue**, a program that you can download from its GitHub repository (https://github.com/catpea/mlue) and install directly via npm with the command `npm…
The post explains how Node.js and Electron (via electron‑fiddle) let you integrate C++ code into browsers, enabling use in devtools, addons, web components, CMSs, visual…
The post explains how modern AI tools can instantly turn a beginner into a “superhuman” programmer: by watching simple tutorials and using an IDE like Electron‑Fiddle, you can…
Modular plug‑in architecture—like an army of independent corps—is key to building adaptable, resilient apps that let developers rapidly generate and replace code (even via AI)…
In this epic tale, Loki gives raw integers to valkyries who master reactive programming techniques—map, combineLatest, debounce, switchMap—to build responsive interfaces that…
This post gives a concise crash‑course on modern application architecture, stressing a simple, plugin‑driven design that AI can help build. It explains how signals (reactive…
The post explains that the key to effective reactive programming lies in creating your own Reactive Variables and Operators rather than relying on pre‑built ones. A Reactive…
After introducing a new operator called fromBetweenEvents and its related pressingActivity, the author explains how such tools make programming more intuitive and friendly for…
I recently explored Svelte’s website and copied its two most illustrative examples—updating a numeric value with a button click and updating page text based on an input box—and…
The post explains how a “Signal” (internally renamed “Pulse”) works as an observable value holder: when its non‑null value changes, all subscribed functions are notified with the…
The post argues that successful software starts from what can already be built, citing the Bootstrap Utility API and AI‑generated JavaScript code as examples of this…
The post reflects on how programming goes beyond mere syntax into meta‑programming, AST transformations, language macros and PEG parsers, using the author’s experience with…
The author calls readers to start building future software that frees the world from errors, framing this as a transitional era where AI aids learning programming languages like…
Visual Programming Languages (VPLs) are self‑documenting, event‑centric tools that let developers orchestrate complex workflows by connecting simple pieces such as sagas,…
I released an npm package called “peepee” that stitches together the ports of one EventEmitter with those of another
The post is an invitation to game programming that showcases how modern AI can generate pixel‑art assets and code, using examples such as lip‑moving faces driven by microphone…
The post introduces a fresh way to learn programming by thinking in terms of everyday “events”—things that happen, like alarms or button clicks—and the three key words “on,”…
The author explains how to use an AI‑driven workflow for building software: first let the AI generate a clean requirements document and a “cookbook” of steps, then start coding…
The post explains a workflow for building applications with AI assistance: start by giving the idea to an LLM and first ask for a plain‑English requirements document; then…