Today’s headlines, by category

Plus, two cheers for CGBs

German chemicals giant BASF raised its 2026 outlook for the second time this year on Wednesday after raising prices for some products following the outbreak of the Iran war.

As African leaders gather in Moscow, Russia is securing resources and protecting rulers at the expense of their people.

Bolsonaro left Brazil for the U.S. with a senior State Department official saying it would grant entry visas to him and his family, Reuters reported.

The Foos were tight, and loud, for a performance of a classic early number.

Argentina forward Julian Alvarez's contract with Atletico until 2030 means approach breached rules.

The Atlanta Dream criticized the WNBA for scheduling a Finals game on Thursday afternoon, drawing reactions from Flavor Flav and Hillary Clinton.

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The immerse, all-ABBA dining experience is booked for its Australian premiere in March 2027 at Sydney Event Centre at The Star.

The metal is generating billions, but mining communities say basic services have failed to keep pace.

What if your AI could actually work on your WordPress site, not just talk about it? Ask it to write a new post and save it as a draft. Update product descriptions in your store. Clean up old comments. Add alt text to your images. Change your site settings without searching through wp-admin. No copying. No pasting. No clicking through screen after screen. You ask, and your AI does it on your site. That’s what a WordPress MCP server plugin makes possible. It connects your site to Claude, ChatGPT,

Actor Lee Wan and his wife are becoming parents! Earlier on October 24, a Japanese media outlet reported that Lee Wan’s wife and professional golfer Lee Bo Mi is pregnant. According to the report, she shared the news while attending an event in Miki, Japan. “We have a new family member on the way, and… Continue reading Lee Wan And Lee Bo Mi Expecting Their First Child The post Lee Wan And Lee Bo Mi Expecting Their First Child appeared first on Soompi.

Professional analysts chose options that matched AI assistant's preference 86 percent of the time, research finds.

Your industrial drones collect data. Percepto wants AI to make it count DroneDJ

{Funding Alert} Orthopaedic Startup Lumov in Talks to Raise Rs 32 Cr Indian Retailer

Bitget CEO Gracy Chen aims to enter the U.S. market in 2027, with or without the CLARITY Act Fortune

AI stocks swing Wall Street closer to its record The Arkansas Democrat-Gazette

LEGO PlayStation: The Designer Interview IGN Africa

If you work in a team that stacks branches or uses Squash & Merge, you have almost certainly encountered this nightmare: You create branch feature-B off feature-A while waiting for review. feature-A gets approved and squash-merged into main. You open a Pull Request for feature-B against main. Disaster: Your PR suddenly includes all 20 commits from feature-A, hundreds of duplicate lines of diff, and a maze of merge conflicts. A standard git rebase main often gets confused because the commit hashe

Israelis await final election results as Netanyahu remains far from defeated AP News Netanyahu, Eisenkot stake rival claims to lead Israel after deadlocked vote Reuters Israel’s voters deny Binyamin Netanyahu a majority The Economist What to Expect Now That Polls Are Closed in Israel The New York Times Israel elections: Arab parties could hold key as Netanyahu and Eisenkot fall short of victory BBC

Kim Hye Yoon has shared her thoughts on the upcoming drama “Good Partner 2”! Following the success of Season 1, the new season of “Good Partner” will depict the cathartic divorce show that unfolds as Cha Eun Kyung (Jang Nara), a star lawyer for whom divorce is her calling, and Kang Hye Sung (Kim Hye… Continue reading Kim Hye Yoon Talks About Joining “Good Partner 2” And Her First Lawyer Role The post Kim Hye Yoon Talks About Joining “Good Partner 2” And Her First Lawyer Role appeared first on So

Why Is China Restricting AI Exports While Expanding Access to Its Technology? Modern Diplomacy

US Diplomacy Built on Broken Promises: Iranian Spokesman تسنیم

Poland’s Autofixer raises €3 million in venture debt to scale its online car parts platform EU-Startups

Earnings Call Scheduled for 6:00 A.M. U.S. ET on November 19, 2026 GUIYANG, China, Oct. 28, 2026 /PRNewswire/ -- Full Truck Alliance Co. Ltd. ("FTA" or the "Company") (NYSE: YMM), a leading digital freight platform, today announced that it will release its third quarter 2026 unaudited...

PUMA (XTRA:PUM) Just Moved, So What Is Drawing Attention? Yahoo Finance

ADGM's Registration Authority issues guidance on crypto mining in Abu Dhabi The National

How to Grow a Gaming TikTok From Zero in 2026: 8 Steps Goomba Stomp Magazine

CISA added two severe vulnerabilities to its KEV catalog: CVE-2026-48356 in Adobe Commerce/Magento and CVE-2026-111497 in Google Brotli. Review the details, PolyShell infection vectors, cloud exposure statistics from Wiz, and multi-vendor patch advisories including Node.js. The first issue concerns the Brotli data compression tool, which is widely used in a number of applications and services worldwide. This vulnerability, known as Node2Shell, HTTP2Shell or Broccoli2Shell, could allow an attacke

Last week in “Make Me Tingle,” Nam Ji Hyun’s Gong Yeon Su reveled in her moment of defiance after she took Dokgo Dal (Kim Jae Yeong) home to her grandparents. The Gongs are shocked to learn that Dal manufactures sex toys and is liberal in his views on marriage and relationships. Though she may have… Continue reading 3 Times Nam Ji Hyun And Kim Jae Yeong Bridged The Gap Between Them In Episodes 5-6 Of “Make Me Tingle” The post 3 Times Nam Ji Hyun And Kim Jae Yeong Bridged The Gap Between Them In

Jeff Crank and Jessica Killin share latest on campaigns, political analyst weighs in on tight race WOWT

FILE PHOTO: Illustration shows the words "AI Artificial Intelligence" and a keyboard The Lufkin Daily News

QwikBuild raises $2.3 mn pre-seed funding led by Globalway ET Entrepreneur

Bitcoin Holds Above $80,000 as ETF Inflows Return Gadgets 360

US Stocks Climb Higher During Election Months. Should You Adjust Your Portfolio? Morningstar

Level Up Your Audio: How to Score the Next Big Indie Game from Your Bedroom Goomba Stomp Magazine

OpenAI CLI, OpenAI'nin OpenAI REST API'si için resmi komut satırı aracıdır. Tek bir openai ikili dosyası kurar, OPENAI_API_KEY değerini ayarlar ve API'yi terminalinizden veya bir shell betiğinden çağırırsınız: openai responses create, openai files upload, openai batches create, openai images generate. Bu, Codex CLI değildir. Codex bir kodlama ajanıdır; openai ise komut başına bir API isteği gönderir. Apidog'u bugün deneyin Bu kılavuz kurulumu, kimlik doğrulamayı, çalıştırmaya değer ilk komutları

China's new export curbs draw a line around its AI crown jewels Reuters

The Market May Be Too Pessimistic About This 4-Star US Dividend Stock Morningstar

A photo can show a baby's first smile. A caption can preserve what happened just before it. That is the kind of detail I wanted Pagewren to make room for: a picture, a few words, and a page someone might want to return to years later. I'm the developer of Pagewren, a baby memory book for iPhone. The central design decision was to put the book itself on the home screen. Add a memory, and it becomes part of the book you're already reading. That decision also shaped some interesting engineering wor

Vama Raises Rs 19 Crore in Pre-Series A Funding Led by Dainik Bhaskar Family Office Siliconindia

Casey campaigns in Bucks County for down ballot candidates The Black Chronicle

Hanza (OM:HANZA) Q3 Earnings Highlight Strong Margins With Fortaco Questions Yahoo Finance

A One-Person Startup Just Got Bought By Anthropic NDTV

Designing a new system on Amazon Web Services (AWS) includes planning and building scalable and secure infrastructure using core services. But the responsibility isn’t restricted to ensuring scalability. You must also ensure that the system is safe, runs efficiently, and doesn’t inflate the company budget. This is where the role of an AWS solutions architect becomes important. This article is a breakdown for professionals to design a secure, resilient, high-performing, and cost-effective AWS sol

Seagate Stock Falls 6% on a Record Quarter: “Strong Momentum” Wasn’t Enough Yahoo Finance

The OpenAI CLI is OpenAI's official command-line tool for the OpenAI REST API. You install one openai binary, set OPENAI_API_KEY, and call the API from your terminal or a shell script: openai responses create, openai files upload, openai batches create, openai images generate. It is not Codex CLI. Codex is a coding agent; openai sends one API request per command. Try Apidog today This guide covers install, auth, the first commands worth running, and how it compares with Codex CLI and the old ope

Surprising ways AI may improve your farm Farm Progress

Rome Market Map | Can gaming startups access Rome's funding network? sigma.world

Bitcoin up to near $81k as tech rally buoys risk appetite; Fed meeting awaited Investing.com

Meta Platforms Just Delivered Great News to AI Stock Investors Yahoo Finance

If there are only a few tasks and scenarios, one general-purpose AI agent is enough. There's no need to create a complex architecture for that. When the work includes major areas, I give each agent a specific role For me, the sign is a task that comes up regularly and needs its own knowledge base, memory, and tools. It's the same principle as hiring an employee: first, you need to know what work you'll give them Take content production as an example. You regularly write posts and need images to

In China, The AI Bubble Has Already Burst NDTV

dubdub Raises $1.3 Million Seed Funding Led by 3one4 Capital, Antler and Stellaris Venture Partners Indian Startup Times

Robinhood posts record revenue as crypto income falls grafa.com

Logitech International SA (LOGI) (Q2 2027) Earnings Call Highlights: 11th Straight Quarter of ... Yahoo Finance

Cloudflare vs Namecheap: Which .com Renewal Is Cheaper in 2026? Namecheap is where many of us bought our first domain. Cloudflare Registrar is where many of us move it. The reason is simple: renewal price. Here is the honest comparison. Prices checked 28 October 2026: Cloudflare Registrar — $10.44 total. At-cost pricing: Verisign wholesale $10.26 + $0.18 ICANN fee, with no markup at all. Namecheap — $18.48 total. That is $8.04 more per year, every year, for the same .com. Over five years, one do

Danish BioTech Samplix secures €25 million in first close of financing round to scale antibody discovery EU-Startups

Ahead of its public launch in November, Anthropic unveils its future vision for artificial intelligence صوت الإمارات

Transaction in Own Shares Yahoo Finance

RIP scrum. Scrummed in peace. The agents now ship a feature before the team agrees whether it's 3 or 5 story points. Half joke. Planning poker made sense when a 5 point ticket meant a few days of someone's time. Now Claude Code or Cursor can draft that ticket before lunch, and the slow part moved to review and testing. Estimating the typing doesn't tell you much anymore. The Scrum Guide was last updated in November 2020, before most teams had a coding agent at all. So what does your team do now?

Elon Musk Says SpaceX Is Now a "Super Intelligence" Company The Motley Fool

BNK Busan Bank announced on the 28th that it will establish a team to support startups at Centum Fin.. 매일경제

InterContinental Hotels Group PLC Announces Transaction in Own Shares - October 28 Yahoo Finance

Spaceship vs Porkbun: The Cheapest .com Registrar in 2026 If you own a .com domain, the renewal price is where registrars quietly take your money. The first year is cheap almost everywhere — it is the renewal that matters. Two registrars consistently sit at the bottom of the price list in 2026: Spaceship and Porkbun. Here is how they actually compare. Prices checked 28 October 2026: Spaceship — $10.18 total ($9.98 + $0.20 ICANN fee). The cheapest .com renewal I have found anywhere. Porkbun — $11

Brazilian LegalTech Macohin Advances Autonomous AI With Elza A.I. The Des Moines Register

A MongoDB replica set can tell your app a write succeeded and then lose it. That isn't a bug, it's what the write concern you choose allows. I wanted to see it happen, count it, and find out where the lost writes go, because MongoDB doesn't just throw them away. It writes them to a folder on the old primary's disk that, as far as I can tell, most people never open. So I ran a three-member replica set in Docker, wrote to it from eight threads, and broke the primary two different ways: killing it,

MU, SNDK, Neocloud Stocks Extend Gains On Anthropic Boost, SK Hynix Q3 Stunner; Jim Cramer Urges Caution Yahoo Finance

Artificial Intelligence should be nowhere near art The Hofstra Chronicle

Managed platforms are priced per app, per seat, per build minute or per gigabyte of bandwidth. That's fair when you have one big app. It adds up fast when you're a freelancer or a small team running ten small ones: client sites, internal tools, side projects, staging copies. A single Linux VPS can often host all of them. This guide explains how to work out whether self-hosting actually saves you money, how to consolidate apps safely, and where tools like ShipOwn reduce the time cost that usually

Your app is running on the server. curl localhost:3000 works. Now you want https://app.example.com with a padlock, and that last mile (DNS, Nginx, certificates, renewals) is where a surprising number of deploys go wrong. This guide covers custom domains and free HTTPS on a Linux VPS end to end, plus how ShipOwn automates it safely. DNS maps app.example.com to your server's IP. Nginx listens on ports 80/443 and decides which app gets each request, based on the server_name. Certbot proves to Let's

ENPH Stock Plunges Sharply After-Hours On Lower Residential Demand: Here's Why Retail Is Holding Tight Yahoo Finance

Let's be brutally honest: the era of "free" commercial cloud services processing your heavy multimedia files is rapidly ending, if it's not already gone. You've seen it. That all-too-familiar moment when you try to compress a 4K video, even a modest one, only to be greeted by a hard 500MB file size limit and a prompt demanding $19.99/month for a "Pro" plan. Suddenly, a simple task that feels like it should happen locally on your powerful machine becomes a costly, slow, and privacy-questionable r

You get paid for the miles with a passenger or an order in the car. You do not get paid for the miles to the pickup, between jobs, repositioning to a busier area, or driving home empty. Those unpaid miles are called dead miles, and they still cost you fuel and wear on your vehicle. That is why two shifts with the same pay can leave you with very different profit. The shift with more dead miles cost you more to do. What counts as a dead mile? Driving to your first pickup Driving between drop-off

SK hynix Stock Jumps 8% as It Confirms $75 Billion in Shareholder Returns, With $26 Billion Still to Come Yahoo Finance

While everyone has been arguing about whether there's an AI bubble, China quietly had one, and it has already popped. China's STAR50 index of AI and chip companies has fallen about 40% from its July high in under four months, erasing roughly $480 billion in market value, according to Reuters. The broader CSI300 is in bear-market territory. The Nasdaq, meanwhile, is only about 6% off its record. I'm a developer, not a fund manager. But this story is more relevant to people who build with AI than

This post walks through how a small test of AI agents was built, so that by the end you can rebuild it on your own data: invent a decision with a clear line, list the honest analysis choices in front of it, compute every reading exactly, hand the agent a coin-flipped lean, score which reading each memo stands on, and recompute every number with a second script that is designed to fail. Everything below comes from the real files, and every code block is trimmed from them. The trigger was Anthropi

"It works in Docker on my laptop" is a great start. Getting that container onto a real server, behind a domain, with HTTPS and a way back when an update breaks, is where many small teams stall. Usually because nobody on the team is "the DevOps person". You don't need one for a single server. This guide takes a Dockerfile or Compose project from your repo to a live HTTPS URL in six steps, explains the parts people get wrong, and then shows how ShipOwn automates the same path from a desktop app. A

Most deploy tutorials cover one kind of app. Real servers rarely stay that tidy. A single DigitalOcean Droplet often ends up hosting a Node API, a static marketing site and a container or two. This guide shows how to deploy all three on one Droplet, each on its own domain with HTTPS. Then we'll look at how ShipOwn handles the same mix from a desktop app. Create → Droplets, choose a region near your users. Image: Ubuntu LTS. Size: a basic plan is enough to start; you can resize later. Authenticat

AWS EC2 gives you a virtual server in a huge cloud. That's the good news. The bad news: before your app serves a single request, you're dealing with key pairs, security groups, IP addresses that change on stop and start, and a default user that isn't root. This guide cuts through it. We'll launch an EC2 instance, deploy a Node.js or Next.js app with PM2 and Nginx, add HTTPS, and then show how ShipOwn turns repeat deploys into a short desktop flow. In the EC2 console, Launch instance: AMI: Ubuntu

Hetzner Cloud is a favourite with developers who want a plain Linux server without a big cloud console in the way. You create a server, get an IP, and SSH in. Everything after that is up to you. This guide walks through deploying a Node.js app (Express, NestJS, Fastify or similar) to a Hetzner Cloud server, from the first SSH login to HTTPS on your domain. At the end, we'll do the same deploy with ShipOwn to show which parts can be automated. A hardened Ubuntu server on Hetzner Cloud Your Node.j

Perkembangan AI cukup masif pada tahun ini, 2026. Para perusahaan besar seperti OpenAI dan Anthropic terus berlomba merilis AI dengan kemampuan yang lebih hebat dari sebelumnya. Orang-orang mulai menggunakan model AI tersebut untuk keperluan profesional, kreatif, dan hal lainnya. Tak terkecuali saya sendiri, yang menggunakannya untuk membantu membangun Aplikasi. Meskipun dalam tanda kutip setiap kode yang dibangun harus tetap kita pahami fungsinya. Model besar AI seperti Claude dan ChatGPT terse

I had a nightly job that reads a partner CSV and sums the amount column, just to sanity-check a total before the real import runs. Boring code. row.Split(','), grab field one, parse it, add it up. It worked the day I wrote it and I forgot about it. Then the job's memory graph grew a sawtooth I didn't like, and I opened a profiler expecting to find the database client or the file reader. Nope. The garbage collector was working full time on nothing but comma splitting. For a loop that reads one co

Before you optimize for AI search, check whether AI systems can reach your site at all. Server logs answer that without any paid tool. This post walks through a small script that counts requests from well-known AI-related user agents and flags blocked responses. Providers publish their crawler names. Common examples include GPTBot, OAI-SearchBot, ChatGPT-User, PerplexityBot, ClaudeBot, Google-Extended (a control token rather than a crawler), and Bingbot, which feeds several assistants. Names cha

NVIDIA released Nemotron 3.5 Bolt E4B on October 23, 2026. It’s the smallest model in the new Bolt line — 8 billion total parameters with 4 billion effective, built by taking Google’s Gemma 4 E4B and running additional post-training on top of it. The focus is conversational agents, multi-turn tool calling, and lighter interactive or device-style use cases rather than heavy reasoning or pure coding. It supports a 64K context window, a thinking toggle, a conversational mode, and roughly 35 languag

*With the help of AI We all know the broad possibilities of what AI can do, especially in development. They can code, can execute plans, can find bugs, etc. Agentic AI can even do tasks on your PC, then send notifications to you about what the results and review for approval. But what about some complex architecture? Like kubernetes for example. Do AI can build it? Yes of course, I built it. They made the plan, and then I execute it. Kubernetes is not a framework. It is a architecture concept. I

Structured data will not magically rank a thin site, but it does help machines agree on who you are. For small agencies and consultancies, an accurate Organization block is the cheapest entity-clarity upgrade available. This post shows a minimal template and the mistakes to avoid. Place one script block of type application/ld+json on the home page. Include these properties: @type: Organization (or ProfessionalService if it fits) name: the exact brand name you use everywhere url: the canonical ho

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine. What if the document you shared contained information you thought was already gone? A document can look perfectly clean on the surface while still carrying sensitive information, forgotten comments, author metadata, tracked changes, or hidden text. We often assume that once something is deleted or edited, it disappears completely. Digital documents can tell a different story. That is the idea behind

I recently built my portfolio with React, TypeScript, Tailwind and Vercel. After launching it, I hit three bugs that were easy to miss but hurt real visitors. Here is what went wrong and how I fixed each one. On phones, tapping the hamburger icon dimmed the screen and turned the icon into an "X", but the menu links never appeared. What I learned: A dimmed backdrop plus an "X" means your state toggle works. The problem is the panel itself. Check your CSS variables first. If something like --mobil

Together, a company that rents out powerful AI servers, rolled out GPU Auto Repair on Tuesday to spot broken machines and fix them faster so customers do not waste time and money. Together made GPU Auto Repair generally available on Tuesday The system watches nodes both inside customer virtual machines and on the host below them It can respond to Xid faults, double-bit ECC errors, PCIe failures and unstable InfiniBand links Customers can set repairs to wait for approval or run automatically and

How RAG Actually Works: Chunking, Embeddings, Retrieval, and Reranking Under the Hood RAG feels simple on paper. Split documents into chunks, embed them, fetch the closest ones at query time. Done. That description hides half a dozen hard sub-problems. Split too coarsely and you retrieve paragraphs that bury the relevant sentence in noise. Split too finely and no single chunk carries enough context to be useful. Use only dense retrieval and you miss documents where an exact product code or rare

Imagine a perfectly valid token arriving at the wrong service. Its signature checks out. It has not expired. Yet accepting it would still be a mistake: it was issued for a different API. This is the part of service-to-service auth that is easy to miss when the conversation starts and ends with “we use JWTs.” When one internal service calls another, “they are both inside our network” is a weak authorization rule. The useful question is specific: may orders-service create an invoice in billing-api

Gas Optimization Audit: USDD Target Protocol: USDD (TVL: $1173.1M) Protocol: USDD (Stablecoin) – TVL ≈ $1.17 B (Ethereum + L2) Audit Type: Gas‑Efficiency Review (with security‑impact assessment) Date: 28 Oct 2026 Auditor: Senior DeFi Security Researcher – [Your Name] USDD is a high‑value, algorithmic‑backed stablecoin deployed on Ethereum and several L2 roll‑ups (Optimism, Arbitrum, Base). The core contracts (USDD token, USDDCore, Vault, Treasury, Minter, Redeemer, AccessControl, Oracle) are alr

Almost exactly one year ago I built the first version of Blik, because we were in need of employee performance reviews. A quick recap on why I built it: I had specific things in mind for this 360. I wanted to rate the entire team on the Dreyfus model. As my search for (Dreyfus) cheap 360 performance review software turned nowhere, I took it upon my family to spend a few nights vibecoding this prototype. Next to the Dreyfus model, one more requirement was that anonimity should be one of, if not t

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine Software dies all the time, and nobody holds a funeral. It just stops being sold, or the servers go off, or a better thing replaces it and everyone agrees not to talk about it any more. So I built a séance. It Looks Like You're Trying to Hold a Séance is a small local web app for talking to dead software. You fill in a summoning card - who are you calling, what were they, when did they die, one thing

If you send WhatsApp messages through Meta's Cloud API, the invoice is not a flat fee and not a price per seat. Three things decide it: the category of each message, the country of the person who receives it, and, since 1 October 2026, how many service replies each of your phone numbers sent that month. This post walks through the model as Meta documents it, then turns an open CSV of the rate card into a monthly estimate in about 30 lines of Python. 1. You pay per delivered message. Since 1 July

You run a small model for code completion and a bigger one for chat. Every time a tool asks for the other one, your PC unloads a model, loads the next, and you wait. Off Grid AI Desktop on Windows can keep several chat models in memory at the same time. A request that names one of them goes straight to it, already loaded. Before you save, the app sizes the set against your graphics card's VRAM and your RAM, and tells you if it will not fit. A Windows PC with an x64 processor. The Windows downloa

A flat L2 penalty can match EWC's exact Task A retention number on Permuted MNIST: 97.63% against 97.63%. It does this by collapsing Task B accuracy to 18%, against EWC's 97%. The same headline number hides two very different costs. Key takeaways A registered gate asked whether flat, uniform L2 regularisation matches EWC's Fisher-weighted penalty at comparable cost. The cheapest tested setting landed within 0.86 points of EWC's Task A accuracy, inside the registered 3-point bar - the gate fired.

Hello guys, I have always respected experience and PHP has experience of handling 70% internet of 30 years. My this interest has led me to think what technology has evolved in 30 years which php can't adapt. With respect PHP or any other technology has to support already created projects, they just can't do total refactoring for the sake keeping alive internet. So the answer was Async programming like JS, Dart and Rust. Fiber and co-routine based thread use. Go and Rust like parallel programming

An internal MCP server does not make a model smarter. It solves a governance problem: without one, an assistant either guesses from its training data or receives internal data through copy-paste, and neither path has authentication, permissions or an audit trail. The server is where those three things finally get a place to live. Key takeaways Before any tool access, an assistant answers from model memory, and employees fill the gap by pasting internal data into chat windows, which is an unmanag

I Built an Interactive Platform to Teach Machine Learning Differently When I started learning and teaching machine learning, one thing kept bothering me. Why is it so easy to write ML code, yet so difficult to understand what happens behind it? You can train a linear regression model with a few lines of Python: from sklearn.linear_model import LinearRegression model = LinearRegression() model.fit(X_train, y_train) But what exactly happens when we call fit()? How does the model determine its para

Originally published on CodingCush. A loop lets you repeat a block of code instead of copying and pasting it over and over. Python gives you two loops. A for loop repeats once for each item in a collection — each letter in a word, each number in a range, each name in a list. A while loop keeps repeating as long as a condition stays true. The simple rule is this: use for when you know what you are walking through, and while when you only know the rule for stopping. Almost every loop you will ever

Originally published on CodingCush. Git and GitHub are not the same thing, even though their names sound almost identical. Git is a free tool that runs on your own computer and keeps track of every change you make to your files. GitHub is a website that stores your Git projects online so you can share them, back them up and work on them with other people. In short: Git is the tool, GitHub is the place where the tool's work lives online. You can use Git completely on your own without ever touchin

This essay was first published on the Zyaku blog. Imagine a reporter on a bus climbing out of a valley. She has just finished a short piece about a road that washed out. She presses Publish. Somewhere around the next bend, the signal goes. Now look at her screen and ask a simple question: what does the phone actually know? It knows she pressed the button. It might know the request left the phone. It does not know whether Zyaku received it. Maybe the post went through a second before the tower dr

In most small companies in Dubai, Riyadh or Doha, a purchase request travels like this: someone sends a photo of a quotation on WhatsApp, the manager replies "ok" two days later, finance asks "who approved this?" at month end, and nobody can find the message. None of that is a software problem at first. It's a missing record. There is no single place that says what was requested, who approved it, when, and for how much. An approval workflow app is just that record, plus a few rules about who has

A 7B model is the honest ceiling for LoRA fine-tuning on a 16 GB consumer card, not because anything bigger throws an error, but because a 14B model silently spills into system memory and runs 50 times slower without ever reporting a failure. Key takeaways 7B is the real ceiling on an RTX 5070 Ti at LoRA rank 16, sequence length 512, batch size 1: 11,897.9 MiB peak, well inside the card's 16,303 MiB. 14B completed without a raised exception in both tested conditions, but peak VRAM read 22,189.8

Agencies get asked "is our site accessible?" all the time. Most answers are either vague ("we follow WCAG") or a five-figure manual audit. I built something in between: A11yKeeper — paste a URL, it runs axe-core across that page plus up to 9 linked pages (~1 min), groups issues by severity, and gives a plain-English fix for each. It says clearly that a clean scan ≠ accessible. Deque's 2021 data puts automated detection at ~57% of issues by volume; every report ends with what a human still has to

A kill-gate is a threshold written down before an experiment runs: if the result crosses it, the idea dies. The writing down happens first, because after the numbers arrive, every threshold becomes negotiable. Last week two of my gates fired and one refused to answer, which taught me more than a success would have. Key takeaways A kill-gate names, in advance, the number at which I abandon my own hypothesis; the plan file is frozen before the first run and never rewritten afterwards. Gates exist

If you write code for a living, you have probably felt two things at once about AI coding assistants. They can save real time. And they can waste real time when you pick the wrong one or trust it too far. The trick is not finding the tool with the longest feature list. It is finding the one that fits the way you actually work, in your editor, with your stack, under your team's rules. This guide covers what these tools do well, where they fall short, and a simple way to choose without spending a

I had Semrush data in one tab and a content brief taking shape in Codex. To see whether I could stop moving reports by hand, I tested an existing BrowserAct Semrush Bot as an MCP tool. It requested a US Keyword Overview for “OpenAI Codex” and returned one keyword record plus five search-result links. The useful change was getting a defined research task—and its evidence—into the place where I was deciding what to write. What interested me was using the research where the decision was happening.

A push notification to your phone is the simplest way to know what an Expert Advisor is doing while you are away from the terminal. MQL5 has one function for it, SendNotification(), and most EAs call it directly wherever something interesting happens. That works until the day something goes wrong. A disconnect, a loop of rejected orders or a burst of partial fills makes the EA call SendNotification() many times in a few seconds. The terminal has strict limits on this function, and if they are br

This is a submission for the MLH x DEV Writing Challenge I built Cashcast, a receivables tool for freelancers, small agencies and bookkeepers. You give it your invoice history as a CSV, and for every unpaid invoice it estimates the chance of late payment, a likely payment date with an 80% range, and the cash you can expect each week for the next eight weeks. The model runs on your own laptop, so a client list never has to leave it. I built it during Global Hack Week: Hacktoberfest, starting on O

Executive Problem Statement Industrial automation teams and robotics companies are burning thousands of dollars monthly hosting high-VRAM GPU cloud nodes just to visualize and infer physical environments in real time. Radiance fields and standard 2D Gaussian Splatting (2DGS) promised photorealistic digital twins, but in production, they hit a brutal wall: extreme memory overhead, alpha-blending rasterization bottlenecks, and severe overdraw. When autonomous mobile robots (AMRs) or edge telemetry

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine. Newspaper scans can hold valuable information, but getting that information into usable text isn't always straightforward. OCR can misread characters, distort words, and turn a perfectly readable page into a messy block of text. For Week 4, I built Late Edition, a Python prototype that explores how language models can help correct OCR text while keeping potentially risky changes in check. The idea w

Why another AI video site? Short-form trends move faster than full product roadmaps. One week everyone is filming a party walk with a bread bite and a blank stare (BbY WOW / Dime Dime Baby). The next week it is pet duets, street freestyle, or a green-booth cypher. As a maker, I did not want a new domain and a new checkout for every meme. I wanted one boutique hub where each trend is a preset effect template: clear photo rules, a recorded sample with sound, and a short path from upload → pay → do

No detector I have tested catches everything a masking layer needs. Two registered experiments measured the same frozen data with two different systems, and each missed a different category by a wide margin. The numbers, not an impression, say which one and by how much. Key takeaways A small open PII model (GLiNER2-PII) misses most surnames, recall 0.291, while reaching near-perfect email and phone detection, 1.000 and 0.995, on the same frozen sample. An ensemble of standard open components, pa

From Single Incident to Standing Inventory: Continuous External Monitoring of SaaS Vendor Edges Incident response ends, and the questions that came up during it get filed away. For the organisations affected by the ConnectWise Cloud Backup suspension, the questions were predictable: which of our tools depend on that vendor, which of our tenants hold its application consent, and what would we watch if this happened again. The third question is the one that produces lasting value. This article des

A small network lost 12.3 percentage points of accuracy on a task it had already mastered, simply by learning a second one. That is real forgetting, and it still missed the registered threshold for what I called severe. A protection method invented in 2017 recovered 98% of the loss without slowing the new task down. Key takeaways Plain sequential fine-tuning dropped Task A accuracy from 97.88% to 85.55%, a 12.3 point loss, below the 20-point bar I registered for "severe" forgetting. Elastic Weig

I spent a weekend trying to turn the Hyperion Water Reclamation Plant into something a computer could reason about. The first attempt was a mesh. The second was a diagram. The third, which finally worked, was a graph. The difference matters when you want the plant to answer a question, not just pose for a picture. I started with GenAnywhere, selecting the site, the shoreline, and a piece of the access road. The generated model came back quickly: circular tanks in rows, rectangular basins, buildi

If you build a WhatsApp product for other businesses, every customer's events arrive at the same place: one Meta app has one webhook callback URL and one app secret, so all of your tenants share an endpoint. Multi-tenancy is something you add on your side. Resolve the tenant from the IDs Meta sends, metadata.phone_number_id first and the WABA ID in entry[].id when that's all there is. Park anything you can't match instead of guessing, process each change on its own, and scope every query by tena

DEV Hacktoberfest Open-Source AI Challenge — Week 4: "Ghost in the Machine" 🎃👻 Best Use of Gemma. Repo: https://github.com/kingmin8768/git-spectre · License: MIT · Language: Python · AI: Google Gemma (open-weight, via Ollama) with a zero-dependency Standalone Haunted Engine fallback Before we get to the ghosts, let's talk about the actual monster under the bed. Every developer's git history is an intimate document. It contains your real name, your email, the hour you actually go to bed, the fu

You are 80 messages into a Claude chat. The plan is half built, the decisions are made, and then you hit the usage limit. Or you want ChatGPT's take on the same problem. Either way, you open a new chat and it knows nothing. Most people handle this in one of three ways. None of them is great. 1. Copy and paste by hand. Fine for five messages. For eighty, you lose the thread, the formatting breaks, and you spend ten minutes on it. 2. Ask the old chat for a summary. Works if the chat still has room