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Event loops are a paradigm for processing events different than your typical single-threaded or multi-threaded application. Your request gets broken down into async "events" that are executed in a loop to improve performance and minimize synchronization across threads. It is famously used by Node.js as the backbone of their event processing and also by several other technologies like Redis and Nginx . In this article I'll explain the reason for why this paradigm was created and what it tries to optimize. By the end you'll come out a little wiser, and know more than just "don't block the event loop" :). Motiviation - why event loops? To understand why we need event loops we will explore a simple but key example. Take this straightforward HTTP request code, which sends a request and then tries to read the response from the socket: def send_http_request_GET ( domain : str , request : str ) -> HttpResponse : socket_fd = get_socket_for_domain ( domain ) write_res = os . write ( socket_fd , request ) data = os . read ( socket_fd , 1024 ) return HttpResponse ( data ) We do two things in this call - write data out and read data in. Both of these actions will end up triggering syscalls through the kernel that write and fetch data. In terms of time spent on the CPU, this is relatively inexpensive; sending out packets takes very little time, and eventually reading the response will also take very little CPU time. The key time lost is from waiting on the server to respond to us. os.read will block this thread until the response is available, meaning that the thread cannot be used for any other processing during this time. If our service is single-threaded, this means that we can't make any requests in parallel and are stuck waiting on any previous requests to finish. But of course, most services are not single-threaded, so this isn't a huge problem? Let's continue with the example code, imagining that instead we are processing these requests with multiple threads pulling from a

Incremental improvements fail to generate much excitement, but Google’s Pixel 11 is still an accomplished Android phone.

Businesses are willing to flop back and forth as each lab releases new models, volatility that should give both companies' investors pause about how "sticky" enterprise AI spending really is.

FCC ban on foreign-made robots accelerated RoboStore’s US manufacturing plans.

Arianespace hasn’t publicly disclosed the cost for an Ariane 6 launch.

An effort to transform the world of sports through steroid use doesn't exactly seem to be bearing financial fruit.

This week on “Uncanny Valley,” Andy Greenberg discusses sitting in on a war game simulating a cyberattack from the Chinese hacking group Volt Typhoon

Genesis, Hyundai's luxury brand, just revealed its first full-size, three-row electric SUV for the US market, the GV90. And arguably it has some of the wildest designs and features in the auto market today. Right off the bat, the coach-style doors signal that things aren't what they seem with the GV90. When the front and […]

An update on the August 17 outage and the steps we're taking to improve reliability. The post The August 17 outage, and the work ahead appeared first on The GitHub Blog .

A small release, not a launch. The LAB tab on gex.live has a new rightmost rail called IDEA FEED . It is a stream of short, rule-shaped trading ideas about SPX dealer positioning — "fade the first touch of the call wall after a gap up", that kind of thing — collected daily by a scanner from what people actually discuss, rewritten into something the Lab compiler can parse, and published untested . That last word is the point. Why untested is the feature Every feed of trading ideas on the internet comes with a verdict attached: "this works", "78% win rate", a screenshot of a good month. The feed here refuses to do that. Each card says exactly two things about its idea: compiles clean (our compiler turned the text into a runnable rule without complaint) and untested (nobody has run it against the archive yet). The honest test is yours to run. One click drops the idea into the Lab conveyor. The compiler has already done the translation, so the first message in your session is the rule itself, stamped ↳ from IDEA FEED · compiles, untested . Running the backtest costs one Lab credit; a failed job refunds itself. If your balance is zero the button does not go dead — it turns into 0 CREDITS · BUY → , remembers the idea you picked, and comes back to it after. What you will not find No source attribution on the cards. The idea is the unit, not the poster. No win rates, no "rated", no thumbs. The archive is 1,000+ finished SPX sessions; the Lab tests against all of it with an out-of-sample split and tells you what survived, which so far is: very little. That verdict is worth more than a badge on a card. No approval gate. The scanner's finds ship directly every day, so the feed stays fresh by itself. "NEW" is personal — it means new since you last opened the rail, not new for everyone. Why build a feed that mostly produces "no" Because the alternative is pretending. The whole site is built on measuring dealer positioning from the tape instead of assuming it from yesterday's ope

Ramp has launched its own AI model routing service, dubbed Router, that lets users and companies use and switch between various large language models via an API.

It's been slow going, but it looks like Tesla's Robotaxi fleet in Austin is operating fully autonomously.

Amazon's speedy drone delivery service will soon reach 500 cities across the US - but that might just mean there are more pools to drop packages into. On Wednesday, ABC7 News Bay Area shared a video showing an Amazon delivery drone hovering over a customer's pool in Texas, before opening its hatch and plopping the […]

Seven months after Elon Musk announced that Tesla Robotaxis in Austin were operating without human safety monitors onboard, the city's service appears to have finally gone fully driverless. Over the past two weeks, all 170 Tesla Robotaxi rides in Austin monitored by the crowdsourced Robotaxi Tracker were unsupervised, the site's creator, Ethan McKanna, told The […]

The Duskbloods is a world away from the approachable games Nintendo is known for. But for its next Switch 2 exclusive, the company has partnered with Elden Ring developer FromSoftware on a hardcore multiplayer game about vampires. And after spending a few hours playing through its gothic world at FromSoft's offices in Tokyo, I'm convinced […]

James Arthur shares why sync is the next frontier in frontend architecture. He explains how extending reactivity to the server with Electric and TanStack DB replaces imperative fetching with declarative data bindings. Learn how query-driven sync and local optimistic updates enable engineering leaders to build insanely fast, collaborative, and agentic applications using their existing stack. By James Arthur

I love writing in Markdown. What I don't love is opening a 200MB+ Electron app just to jot down a note. So I built Markify - a desktop Markdown editor that weighs in at under 10MB and still ships a real feature set. Why bother Obsidian is great, but it's heavy, and most of what I actually need day-to-day is simpler: open a file, write, preview, export, done. Every "lightweight" alternative I tried either wasn't actually light, or was missing basics like PDF export or a proper file explorer. So I built the tool I wanted. What's in it Open & save .md , .markdown , .mdx files with native dialogs Sidebar file explorer - browse a whole folder, expand subfolders on demand, just like VS Code Three view modes : Read, Edit, and Hybrid (live side-by-side preview) PDF export with embedded images and proper Unicode font handling Light/dark theme that follows your system in real time 4 languages out of the box: English, French, German, Spanish Native title bar per platform (real traffic lights on macOS, custom controls on Windows/Linux) The stack Angular 22 (with Signals) on the frontend, Rust on the backend, glued together with Tauri 2 . That combo is exactly why the app stays small - no bundled Chromium, no Node runtime shipped, just the OS's native webview. 82 unit tests (Vitest) keep the core services honest. Everything is open source, AGPL-3.0: github.com/Martzcode/Markify Markdown is basically AI's native language now Here's the other reason this project felt worth building right now: every LLM defaults to Markdown. Ask ChatGPT, Claude, or Copilot for anything structured and you get headers, bullet lists, code fences, bold text - Markdown, every time. It's become the de facto output format for AI because it's plain text, unambiguous to parse, and renders cleanly almost everywhere. That shift changes what a Markdown editor needs to be good at: Copy-pasting AI output should just work - no reformatting, no broken tables, no mangled code blocks Code block rendering with copy b

The Poolease X1 can collect leaves from the pool floor, but dirt, silt, walls, and steps are all beyond its pay grade.

There’s a hunt for new sources of hydrogen, and the gas (or at least the right conditions to make it) could be hiding beneath our feet. Hydrogen can be used as a fuel in everything from large trucks to planes to steelmaking. It’s often hailed as a climate solution because when burned, it produces water…

Binance's Agent OS works with tools including ChatGPT, Claude Code, and Cursor.