标签：#c

New climate evidence adds context to these long voyages.

We found lots of math-filled and science-rich toys for tiny nerds to assemble, bake, squish—or even tear apart and rebuild.

This is a submission for Weekend Challenge: Passion Edition Target categories: Best use of Snowflake...

Researchers cobbled together funding and time to show how quantum computing could aid in the development of drugs to help underserved populations and combat rare diseases.

Earlier this month I shipped two premium templates — a SaaS landing page and a developer portfolio. Not a startup, not a SaaS, just templates. This post is about the two constraints I built them under, why they made the code better, and a few things I learned launching as a solo dev with zero audience. Constraint 1: zero dependencies beyond next, react, and tailwind Open the package.json of most templates and you'll find 20+ packages: icon libraries, animation libraries, carousel plugins, UI kits, utility libraries. Every one of them is a version conflict waiting to happen for the buyer, and most are replaceable with a few lines of code in 2026. What I used instead: Icons → inline SVG components. An icon component is ~10 lines. You need maybe 15 icons for a landing page. Animations → plain CSS. Scroll-blur navbars, gradient glows, an animated "typing" terminal — all doable with keyframes and transitions. No framer-motion. The dashboard mockup in the hero → pure CSS. Divs, borders, gradients. It looks like a product screenshot but it's ~80 lines of JSX and weighs nothing. Result: both templates land at ~100KB first-load JS, npm install takes seconds, and there is nothing to break when Next.js 16 arrives. Constraint 2: every piece of content in ONE typed config file The thing I hated most about templates I've used: content is smeared across 30 components. Changing a headline means hunting through JSX. So both templates keep all content in a single file — lib/content.ts for the landing page, site.config.ts for the portfolio. Headlines, nav, pricing tiers, testimonials, project lists, even the lines that animate in the fake terminal. Components are pure renderers of that config's TypeScript type. Two things surprised me here: TypeScript becomes your content linter. Forget an alt text, malform a link, give a pricing tier three features when the type expects a non-empty array — the build fails. Content mistakes surface at compile time. It forces better component design. W

OrbitLens Ace → ace.orbitlens.io A busy quarter is easy to stage. Code that's still there in two years isn't. Pick any metric a team has ever used to judge people, and someone has quietly figured out how to move it without doing the underlying thing. Lines of code rewarded typing, so people typed. Commit counts rewarded committing, so commits got smaller and more frequent. Velocity rewarded closed points, and points drifted upward until a "3" meant nothing. DORA measured how often you deploy, so teams shipped trivial changes just to move it. Even churn — the number the "code health" tools lean on — is something you can lower on purpose, which means you can manage the number instead of the mess underneath it. None of that requires dishonest engineers. It's Goodhart's law doing what it always does. Every one of those numbers is a measure of activity , and activity is cheap to produce. Once you're paid for activity, the fastest way to get paid more is to produce more of it — not more of whatever the activity was supposed to be a sign of. So the question worth asking isn't which activity metric is least bad. It's whether a git history contains anything at all that you can't move just by being busier. It turns out there's one. And it's not because we were clever — it's because of what the thing is actually made of. What lasts isn't something you do Take everything a person wrote, wait a while, and ask a smaller question than "did they work hard." Ask whether the specific lines are still there. Not reverted, not rewritten, not quietly swallowed by someone else's refactor. Still holding weight at HEAD. That's survival. We read it with time-decayed git blame : a line's weight fades month by month unless the line keeps existing, and it counts for more once other people have built on top of it instead of leaving it as a private island. Survival that others have built on is what we call gravity — the structural pull that outlives the person who created it. Try to game it and w

I'm a experienced/senior developer which is frequently using ai, guiding coding agents, etc. I wonder, how does my job look like in a few years? Which skills might be the best ones to have? Currently, having business knowledge, development experience helps greatly with guiding coding agents, creating MVPs/PoCs in "no time", improving code, etc. But what if coding agents/ai would overtake this job?

@kungfufk Since the dawn of computing, we have built Artificial Intelligence on a flawed premise: perfect rationality. We brute-force algorithms to find the optimal solution, assuming infinite time and infinite capacity. But humans don't work like that. As Herbert Simon famously coined, we operate on Bounded Rationality. We make decisions based on limited time, limited cognitive capacity, and limited information. What if, instead of forcing AI to be perfectly rational, we created a mathematical equivalent for human processing? What if we modeled human cognition using the laws of physics — wave theory, thermodynamics, and mechanical energy equations — to build a heavy, complex, but highly probabilistic AI engine? Here is a blueprint for a new field of research: Computational Cognitive Mechanics . 1. The Core Equations of Cognitive Processing To model bounded rationality mathematically, we first need to define the relationship between Knowledge ($K$), Cognitive Capacity ($C$), and Processing Time ($T$). Based on human observation, we can establish these foundational proportions: Knowledge vs. Time — The more knowledge you possess, the faster you can generate a decision. $$T \propto \frac{1}{K}$$ Capacity vs. Time — High cognitive capacity (skills, processing power) inversely relates to the time required to solve a problem. $$T \propto \frac{1}{C}$$ Knowledge vs. Capacity — This is the most fascinating limit. Knowledge does not scale linearly with capacity. Gaining true knowledge requires exponential capacity (effort/skill). Therefore, knowledge is roughly proportional to the square root of capacity. $$K \propto \sqrt{C}$$ By integrating these, we can build a baseline processing algorithm for an AI. Instead of giving an AI unlimited time to compute, we cap its computing time based on a synthetic "Knowledge and Capacity" matrix, forcing it to use heuristics — just like a human. 2. Cognitive Wave Theory & FFT: Information as Interference In physics, waves interact throug

Need an ultrafast drive for video editing or a rugged option to back up your photos in the field? We’ve got a solution for every situation.

You set up Puppeteer, navigate to a page, call page.screenshot() , and the bottom half of your image is blank placeholder boxes. Welcome to lazy loading. Most modern sites defer images and heavy content until the user scrolls. Your headless browser never scrolls. So those elements never load. Here's how to deal with it. The scroll trick The most common fix is to programmatically scroll down the page before taking the screenshot: async function scrollToBottom ( page ) { await page . evaluate ( async () => { const delay = ms => new Promise ( r => setTimeout ( r , ms )); const distance = 300 ; while ( window . scrollY + window . innerHeight < document . body . scrollHeight ) { window . scrollBy ( 0 , distance ); await delay ( 150 ); } window . scrollTo ( 0 , 0 ); }); } await page . goto ( " https://example.com " , { waitUntil : " networkidle2 " }); await scrollToBottom ( page ); await page . waitForTimeout ( 1000 ); await page . screenshot ({ fullPage : true }); The 150ms delay between scrolls gives IntersectionObserver -based lazy loaders time to trigger. Too fast and you'll scroll past elements before they start loading. That final waitForTimeout after scrolling back to top lets any remaining images finish rendering. Not elegant, but necessary. Why networkidle2 isn't enough You'd think waitUntil: "networkidle2" would handle this. It waits until there are no more than 2 network connections for 500ms. But lazy-loaded images haven't even been requested yet at that point — they're waiting for a scroll event that never happens. networkidle2 only helps with content that loads on page init. For scroll-triggered content, you need the scroll. The loading="eager" override Some sites use the native loading="lazy" attribute. You can override it before images load: await page . evaluateOnNewDocument (() => { Object . defineProperty ( HTMLImageElement . prototype , " loading " , { set : function ( val ) { this . setAttribute ( " loading " , " eager " ); }, get : function () { retu

This is a submission for Weekend Challenge: Passion Edition What I Built Soccer is defined by passion, but that passion often turns toxic when fans and commentators do not understand the limits of human performance under extreme pressure. During a 90-minute World Cup match, when a team collapses in the final ten minutes, the narrative defaults to harsh judgments like, "they lost their nerve." BioTactix AI was born out of a passion to change that global conversation. It is a securely licensed, real-time sports analytics architecture designed to solve the " Human-Machine Bottleneck. " By quantifying the exact intersection of physical exhaustion, cognitive delay, and psychological pressure, it transforms raw biological telemetry into context-aware, Explainable AI (XAI). Instead of relying on static dashboards, **BioTactix AI **provides real-time narratives to foster empathy among fans, actionable tactical alerts to prevent defensive collapses for coaches, and critical 14G-impact safety overrides for referees. Demo You can view the full demonstration and the real-time terminal output of the BioTactix AI Master Engine here: Watch the Demo on YouTube VIDEO LINK: https://www.youtube.com/watch?v=LQbuIVqc8D0 ** **Code The complete project, including the core biotactix_ai_master_engine.py script, is hosted publicly in github repository. The repository is fully secured with a software license to ensure the intellectual property and architectural blueprint remain protected. https://github.com/minakshihub/BioTactix-AI How I Built It Building a system to process 100-Hertz live biological data across a 40-man roster without compute bottlenecks required moving beyond standard web development approaches and leaning heavily into advanced storage systems engineering. Sovereign Edge Compute & VFS Routing: Instead of wasting CPU cycles continuously scanning the entire roster, the architecture leverages a custom Sovereign Virtual File System (VFS). This enables highly efficient data inge

Many developers still rely on heavy, third-party JavaScript frameworks or external UI libraries just to create simple popups and modal windows. This introduces bloated bundle sizes, slows down page speed, and often ruins accessibility (a11y) for keyboard users and screen readers. Fortunately, you can build an accessible, highly interactive modal window completely natively using the modern HTML5 <dialog> element. The Code Setup Here is how simple it is to build a native modal with semantic HTML, minimal JavaScript, and a touch of modern CSS styling. 1. The Markup (index.html) <main> <h1> Native HTML5 Dialog Element </h1> <p> Click the button below to open a completely native, accessible popup modal. </p> <button id= "openModalBtn" > Open Modal Window </button> </main> <dialog id= "myModal" > <h2> Native Modal Title </h2> <p> This modal is rendered natively by the browser. Focus is trapped automatically! </p> <button id= "closeModalBtn" > Close Modal </button> </dialog> ### 2. The Logic (script.js) Instead of manually managing visibility states or toggle classes, the browser gives us built-in `.showModal()` and `.close()` methods: javascript const modal = document.getElementById('myModal'); const openBtn = document.getElementById('openModalBtn'); const closeBtn = document.getElementById('closeModalBtn'); openBtn.addEventListener('click', () => { modal.showModal(); }); closeBtn.addEventListener('click', () => { modal.close(); }); dialog ::backdrop { background-color : rgba ( 0 , 0 , 0 , 0.6 ); backdrop-filter : blur ( 4px ); } dialog { border : none ; border-radius : 8px ; padding : 2rem ; box-shadow : 0 4px 12px rgba ( 0 , 0 , 0 , 0.15 ); } Interactive Demos & Source Code Working Live Code Demo: ( https://codepen.io/editor/CoderDecoding/pen/019f5548-f0cb-75f8-b915-b9fdb33e92d1 ) Public Code Repository: ( https://github.com/CoderDecoding/native-dialog-demo )