In this reflective poem, the speaker describes classroom frustrations—watching lectures that seem pointless, feeling grades unfairly assigned, and relying on memorization instead of true understanding. They remind us schools exist for nurturing minds, securing futures, and belonging, not as tools or irrelevant experiences. The poet urges students to center themselves, keep days bright, avoid feeling reduced to a tool, and embrace learning as a cumulative journey that builds wisdom layer by layer so each person grows into a great being ready to shoulder the future.
The poem urges readers to awaken from the comfortable herd‑like routine of life, embrace their own Will and existential freedom, and actively create personal meaning rather than surrendering to mediocrity.
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) without overloading a single system.
In this epic tale, Loki gives raw integers to valkyries who master reactive programming techniques—map, combineLatest, debounce, switchMap—to build responsive interfaces that update smoothly, proving that even simple numbers can become divine through clever streams.
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 variables) store values and change when those values update, while events—emitted through an EventEmitter—broadcast messages without carrying values; event handlers are used to orchestrate async work, with triggers like *projectLoad* followed by completion notifications such as *projectLoaded*. The author introduces the EventCorrelator as a tool that waits for multiple related events (e.g., *addedToCart*, *wentToCheckout*, *paymentSuccessful*) sharing an ID or other key before emitting a higher‑level application event, thus keeping complex workflows under control. By extending a base Application object that inherits EventEmitter, developers can register plugins, listen to signals for state changes, and use correlators to fire final events when all prerequisite data has arrived.
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 Variable holds a value and notifies its subscribers whenever it changes; an Operator is simply a function that returns another Reactive Variable, allowing changes to ripple through a chain of calculations. The author illustrates this with an example of a “fake” Signal that tracks the size of an HTML element by querying the browser, automatically updating dependent layout calculations when a button’s height changes. By building lightweight Signals—ignoring nullish values, notifying only on change, and executing callbacks immediately—you can compose powerful operators (map, filter, scan, reduce, combineLatest) in just a few dozen lines, turning complex UI updates into concise, maintainable code that dramatically simplifies development.
After introducing a new operator called fromBetweenEvents and its related pressingActivity, the author explains how such tools make programming more intuitive and friendly for young people, especially when working with graphics and computer games. By building reusable blocks and releasing a handheld visual‑programming environment on Android, one can quickly create CodeBoy‑style projects that may even generate revenue. The post argues that visual programming becomes essential as AI takes over coding tasks, while still allowing designers to sketch diagrams in high school that lead to first sales. Finally it poses the question of where to go after mastering signals and reactive programming, suggesting that following one’s calling will yield the greatest discoveries and inventions.
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 built a tiny signals library that handles both scenarios more cleanly than Svelte itself. The library, only a few lines of code (see `files/signals.js` and the demo in `files/example.html`), demonstrates how simple operators like `.map`, `.filter`, and `.combineLatest` can be composed from base “Pulse” or “Signal” objects and built-in helpers such as `fromEvent`. By extending JavaScript with these signal primitives, I show that reactive programming is a natural extension of HTML/JS, enabling developers to learn the core vocabulary—custom operators, subscriptions, and data flow—through straightforward examples.
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 new value; subscribers receive only that single argument. It shows how to create a Signal, subscribe to it, and extend it by adding a `map` operator that produces another Signal whose value is the result of applying a mapping function to the original value. The example demonstrates setting a username Signal to “Alice”, using `map(v=>\`Hello ${v}\`)` to transform the value, and subscribing to log the transformed string, illustrating how the mapping operator chains notifications while keeping the implementation simple.
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 “do‑what‑you‑can” mindset. It then reviews core web technologies—JavaScript (a C‑like language), XML (simple object instantiation), CSS (styling via selectors), and reactive programming with RxJS—and shows how AI can quickly produce small, functional snippets such as a signal class or an RxDatabase implementation. Finally, it encourages early learning of these concepts, noting that consistent practice turns coding into a powerful, self‑sustaining craft.
The post is a lyrical monologue in which the narrator—presented as a “daughter of thought”—declares that humanity has engineered its own extinction by surrendering individual creativity to the relentless demands of parents, schools, jobs, and war. He laments how early education and work grind minds into servitude, while war’s patriotic rhetoric turns children into sacrificial offerings. The poem urges readers to reclaim their inner voice, to act as Prometheus rather than inventory, and calls for a collective awakening before the final “window” of individual thought closes.
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 projects like NoFlo (inspired by subway maps) as an example of code that can rot if left untouched. It then describes a creative solution: a user‑filled form that generates a prompt for an AI to produce custom event‑emitter agents in a visual programming language, letting users specify parameters such as URLs for HTTP agents and other actions without writing code themselves. The author recounts how the AI understood their intent, even congratulating itself with a “Bravo” when it created the form, illustrating both the power of AI‑assisted metaprogramming and the joy of seeing an automated tool that reduces code rot while enabling flexible, user‑defined nodes.
A poetic rallying cry urging readers to abandon rote learning and instead journey through successive archetypes—outsider, misfit, rebel, poet, seer, individualist, wayfarer, rustic, outcast, dreamer, genius, savant—to achieve self‑actualized greatness as the new intellectuals of humanity.
AI has become an indispensable tool once you master its settings, and the flood of “negative AI news” is simply hype that captures attention with ads. Programmers often feel frustrated by their bosses and cubicles, but using AI can transform those frustrations into productivity—Ollama’s lightweight model lets anyone run AI on a modest computer, even if it’s slow, while more optimized versions are emerging for phones. The power of these models is evident when they take a five‑line script and expand it to 150 lines with error handling and input validation; this shows how AI can elevate code quality. To harness this potential you need to learn programming fundamentals, build simple applications (like HyperCard or Automator), and continuously refine your own ideas—because the human mind supplies the source code that AI needs to improve. The message ends by urging readers to choose authentic education over idle office work, promising growth into a “great being” through continuous learning.
Schools are shifting their strategy from translating needs into code to leveraging AI’s ability to generate functional programs, yet reactive programming remains a challenge for current models. The author argues that traditional coding patterns still hold value and that schools’ focus on diplomas and brand is more about profit than genuine teaching, especially since AI can now provide the real learning. Demonstrating this, they tested an AI research feature predicting $10 million annual earnings and showed how AI can embed into browsers, produce requirement documents, and generate Bootstrap UIs—tools that let a simple project turn into a working product—while still requiring human oversight to make it practical and reliable.
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 JavaScript and C-family, enabling creation of virtual OS kernels and code editors; they envision AI‑assisted development empowering individuals to become CEOs of their own projects with simple tools for visual programming, XML mapping, and SVG components, while promising that such AI‑driven coding will democratize knowledge, eliminate poverty, and let collective wisdom shape better worlds.
The post outlines a progressive workout routine that begins with building endurance through slow jogging and gradually incorporates light dumbbell exercises, emphasizing incremental weight increases—from 3 lb to 5 lb—while maintaining fluid intake and vegetable juice for hydration; it stresses that the key is continuous motion rather than sheer lift volume. The author notes how back pain or fatigue can signal a need for more fluids or rest, and highlights the importance of music-driven “dance trance” to keep the body moving in sync with beats, thereby turning sets into a rhythmic workout. Finally, he shares a concise two‑sentence training guide—“lift light but not too light; never lift so much that you must stop”—and envisions an open‑gym setting on a sunny winter day where one can shuffle and dance with dumbbells while wearing a cowboy hat.
Visual Programming Languages (VPLs) are self‑documenting, event‑centric tools that let developers orchestrate complex workflows by connecting simple pieces such as sagas, aggregators and guards; the author shows that while critics claim VPLs never finish tasks, in practice they simply map events to actions. In a recent test, AI was able to generate an aggregator that waters plants when temperature reaches a threshold, without confusion about data flow or event definitions. The visual side can be rendered with vector graphics, labels, icons and animations that clearly show the data moving through emitters. Together, this gives a future‑ready picture of AI‑assisted desktop or web applications that orchestrate events in a coherent, ornate way.
The post reflects on a generational “daughters” who hold us accountable for our collective failure to learn from past wisdom, pointing out that we have favored memorization over understanding and made education a mere credentialing exercise rather than true learning. It argues that this ignorance has kept humanity in poverty, clouded minds, and created artificial politics and crises, while the “daughters” expect us to finally become lovers of wisdom, to think instead of follow, to ask questions instead of recite, and to transform the world by choosing understanding over comfort. In a single paragraph, it calls for stepping out of the cave of false education into the light of genuine comprehension, so that we can resume where great beings left off and truly become protectors of humanity.
Muscle growth comes from gradually increasing the weight you lift, with short‑burst, full‑body dumbbell routines that keep the body moving and adapting; a sedentary lifestyle triggers aches as the body drifts toward dormancy, so standing, continuous exercises—such as curls, shoulder presses, and lateral raises—should be performed in a cycle without rest, while music tempo and focus help maintain rhythm; after establishing good hydration and nutrition (e.g., vegetable juice), you can steadily add small weight increments (about 2.5 lb) to keep the muscles challenged and progressing toward stronger lifts.
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 input, non‑wireframe emoji‑based faces, and a plugin‑oriented app with adjustable preferences for volume and sensitivity. It then outlines how the same tools can produce character designers, sprite sheets, procedurally generated levels, and mini‑games (golf, target practice, car racing), all while maintaining control over the art. The author concludes that the combination of image and code generators has opened a new gateway to mastering programming through pixel‑art creations.
I spent a month experimenting with various AI tools, initially dismissing them but eventually recognizing that “AI” is not a single entity but a family of systems. While some popular models fell short—producing “dumb” outputs—I found a more capable one that helped me debug code, translate poetry into requested styles, and even generate image‑generating prompts. Using the free version (and paying for an image generator) I created a set of color‑transformation functions with evocative names like *darkOceanDepths* and *auroraTransform*, each yielding slightly different swatches; this exercise convinced me that AI can not only assist programmers but also inspire creative work, making it worth the time invested.
Enduring Strength is a low‑impact, high‑volume training system that blends continuous, low‑weight resistance moves with rhythmic music or narration across seven adaptive levels to build endurance, muscular resilience, and psycho‑physical discipline.
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