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This year, FIFA is providing an AI agent that any team can use. Is it enough to level the playing field or will future winners be determined by which team can afford the best tools?

YouTube TV and DirecTV Stream customers may be eligible for a cash payout, after Disney agreed to pay $50 million to settle claims that it forced the services to increase their subscription prices. Anyone who was subscribed to YouTube TV or DirecTV Stream between April 1st, 2019, and March 31st, 2026 is eligible to claim […]

Hey all, we have a quick update for everyone who participated in the Github "Finish-Up-A-Thon"...

The Moccamaster Prime Day deal is the best price I've seen this year, on a coffee maker that will probably outlive you.

It’s day three of Prime Day, folks. We’re nearly 75 percent of the way through Amazon’s four-day sales event, and unsurprisingly, many deals are still sticking around. There have been all kinds of discounts on things like TVs, smart home gadgets, chargers, headphones, and more. Prime Day typically isn’t as big of a deal as […]

I like the idea of a solar-powered electric bike, but I don't think anyone should buy the new Phosgo Go5 - not yet, anyway. This "world's first AI solar e-bike" promises to "eliminate range anxiety," and is sold by a new brand out of China hoping to make a big splash by selling direct-to-consumer through […]

We’re finally getting Grand Theft Auto VI, poised to be one of the largest gaming releases in history.

Spencer Judge discusses the architectural pattern of building a shared core in Rust with language-specific layers on top. Drawing from his work on Temporal's SDKs, he shares lessons on navigating FFI boundaries, bridging async concepts, and managing memory safely. He explains the limitations of native extensions and how emerging tech like WebAssembly can streamline cross-language architecture. By Spencer Judge

Don't pay full price—snag one of these tasty Prime Day tech deals on some of our favorite WIRED-tested gadgets.

IBM’s nanostack transistors could boost chip performance or energy efficiency.

Security researchers found evidence that Russian authorities hacked the iPhone of a political opponent using a phone-unlocking device made by Cellebrite, even after the company said it would stop selling to Putin’s government.

It’s been hard to look away from headlines about the European heat wave this week. Temperatures are breaking records across the continent, and the weather is threatening lives, shutting down schools, and in one particularly ironic case, forcing the cancellation of a London Climate Action Week event about extreme heat. As the summer ramps up…

IBM has built a new prototype chip with around 100 billion transistors on an area the size of a fingernail, which is twice the density of the company’s previous state-of-the-art technology announced in 2021. The design could pave the way for faster and more energy efficient computers for years to come. For more than half…

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with predictive analytics.

kreuzcrawl began as a Rust core with bindings for ten languages. v0.3.0 ships fourteen, adds a tiered WAF-aware dispatch engine, cuts peak streaming memory from ~2.5 GB to ~20 MB, and enables SSRF defense across every outbound call path by default. It is the first release we consider API-stable. This post covers what changed, why each decision was made, and what the harder engineering problems looked like from the inside. At a glance Area v0.2.0 v0.3.0 Language bindings 10 14 (+Dart, Kotlin/Android, Swift, Zig) Peak streaming memory ~2.5 GB ~20 MB SSRF protection opt-in on by default Dispatch model static HTTP / bypass / browser tiered, signal-driven escalation WAF fingerprints — 35 across 8 vendors Fingerprint hot-reload — lock-free ( ArcSwap ), 500 ms debounce MCP tools partial 1:1 with CLI, safety-annotated CLI subcommands scrape, crawl + batch-scrape, batch-crawl, download, citations Robots / sitemap parsers engine-internal public modules API stability preview stable Four new language bindings v0.2.0 shipped Rust, Python, Node.js, Ruby, Go, Java, C#, PHP, Elixir, and WebAssembly. v0.3.0 adds Dart , Kotlin/Android , Swift , and Zig — bringing the total to fourteen. None of the per-language glue is written by hand. Every binding is generated from the Rust core by alef , our polyglot binding generator. The Dart and Kotlin/Android packages bind through the C FFI layer ( kreuzcrawl-ffi ) via dart:ffi and JNI respectively. Swift binds through clang. Zig uses @cImport against the same C header. The generation pipeline also hardened in this release: the Docker publish matrix now builds each architecture natively rather than via QEMU emulation, the Dart build no longer requires the Flutter SDK for pub.dev publishes, Swift artifactbundle checksums are injected automatically, and the Elixir/PHP/Ruby releases preserve their lock files through the source-publish step. === "Python" ```sh pip install kreuzcrawl ``` === "Node.js" ```sh npm install @xberg/kreuzcrawl ``` === "Rus

Last year I was doing a code review for a startup. Everything looked fine on the surface, clean code, good structure, tests passing. Then I noticed this: const query = `SELECT * FROM users WHERE email = ' ${ req . body . email } '` That's it. That's the bug. SQL injection, sitting right there in a startup that had been in production for 8 months. Nobody caught it. Not the developer, not the reviewer, not the CTO. Here's the thing, it's not that developers are careless. It's that this kind of bug is invisible until it isn't. The code works perfectly. Tests pass. Users are happy. Until someone types ' OR '1'='1 in the email field and walks straight into your database. The bugs I see most often 1. Raw SQL with user input // 🚨 This is everywhere const query = `SELECT * FROM users WHERE email = ' ${ email } '` // ✅ Use parameterized queries const query = ' SELECT * FROM users WHERE email = $1 ' db . query ( query , [ email ]) 2. Secrets in environment variables... committed to git # .env DATABASE_URL = postgres://user:actualpassword@prod-db.company.com/mydb STRIPE_SECRET = sk_live_... Then .env ends up in the repo because someone forgot to add it to .gitignore . I've seen this more times than I want to admit. GitHub's secret scanning catches some of these, but not always before someone has already cloned the repo. 3. JWT tokens that are never actually verified // 🚨 Decoding is not the same as verifying const user = jwt . decode ( token ) // ✅ Always verify const user = jwt . verify ( token , process . env . JWT_SECRET ) jwt.decode just reads the token. Anyone can forge it. jwt.verify actually checks the signature. The names are confusingly similar and the wrong one silently works in development. 4. No rate limiting on auth endpoints // 🚨 Anyone can try a million passwords app . post ( ' /login ' , async ( req , res ) => { const user = await db . findUser ( req . body . email ) // ... }) // ✅ Add rate limiting const authLimiter = rateLimit ({ windowMs : 15 * 60 * 1000 , m

Most people lose hours pretending to work or study. I was one of them. I kept setting Pomodoro timers and ending up scrolling Twitter during breaks. That's not rest. That's just a different kind of distraction. So I built Mognota — a free wellness companion for screen workers. The Problem You don't have a discipline problem. You have a system problem. Your brain has a hard biological limit. Sustained attention peaks at 20-45 minutes before quality drops sharply. Long unfocused hours are not work — they are the feeling of work. The solution isn't more willpower. It's intentional recovery. What I Built Mognota pairs a Pomodoro timer with 50+ guided wellness activities: 👁️ 20-20-20 eye break reminders 🫁 Guided breathing & 7 pranayama techniques 🧘 Desk yoga, HIIT, Tai Chi, stretches 🎵 Binaural beats & ambient soundscapes 🧠 Meditation & NSDR protocols 📓 Gratitude journal, mood tracker, brain dump 🎮 Sudoku, sliding puzzle, fractal explorer The Technical Part This is what dev.to might find interesting: Pure HTML, CSS, vanilla JS — zero frameworks Everything in a single HTML file All 8 notification sounds synthesized with Web Audio API localStorage only — nothing leaves your device Works offline once loaded 109+ languages supported No npm. No build step. No dependencies. Just open and use. Try It 👉 https://mognota.com/ Completely free. No account. No ads. Forever. Would love brutal honest feedback from this community.

Let AI block distractions for you when you need to lock in Discussion | Link

Cloudflare released the Cloudflare One stack, an open-source library of agent skills for planning, deploying, and managing Zero Trust environments. The skills include automated migration logic for Zscaler and Palo Alto Networks, the same logic used in Cloudflare's Descaler program that has moved enterprise customers in hours rather than months. By Steef-Jan Wiggers

Building a unified market intelligence platform for traders, analysts, researchers, and developers. After months of development, Jungletrade is now publicly available. The idea behind Jungletrade is simple: modern market analysis has become fragmented. Market data, indicators, analytical models, and trading signals are often distributed across multiple platforms, forcing users to maintain several subscriptions, workflows, and dashboards just to build a complete market view. We wanted to explore a different approach. 📊 The Problem Most market platforms focus on a specific layer of the analytical stack: Raw data Technical indicators Quantitative models Trading signals Each layer provides value, but users are frequently required to move between multiple tools to connect the pieces. Our goal was to create a modular ecosystem where these layers can coexist within a single platform. 🧭 The Jungletrade Ecosystem Today, JungleTrade provides four product categories: 📦 Data Structured datasets for market research and discovery. 🧠 Models Analytical frameworks designed to identify patterns and relationships within market data. 📈 Indicators Tools that transform raw information into actionable insights. ⚡ Triggers Event-driven signals designed to highlight potential market opportunities. 🔍 Built for Transparency One design decision was particularly important to us: every product should explain itself. Each product includes: Product description Key features Use cases Interpretation guidelines Methodology overview The objective is not simply to provide charts but to explain the problem being solved and how the underlying analysis works. 🔌 API First All products available through the platform are also accessible through API endpoints. Developers interested in integrating JungleTrade data into their own applications, dashboards, or research pipelines can request a demo API key through the platform. 🏗️ Architecture JungleTrade is built using a modular, service-oriented architecture des