Amazon is moving packages in Japan on the Shinkansen as part of its efforts to have neutral carbon emissions.

Modern QA automation is extremely effective when testing traditional web applications. APIs can be validated reliably, user flows can be scripted with precision, and infrastructure monitoring has become mature enough to detect most operational problems before users even notice them. Browser-based casino games are different. Over the last few years, many iGaming teams have invested heavily in automation frameworks, synthetic monitoring and infrastructure observability. On paper, this should make production environments safer and more stable than ever before. Yet operators still encounter situations where everything appears healthy internally while players experience visibly broken gameplay sessions in production. This creates one of the most frustrating categories of bugs in modern iGaming. The backend responds correctly. Monitoring dashboards remain green. APIs continue returning valid responses. Error logs show nothing alarming. Meanwhile, players encounter frozen reels, broken bonus transitions, stuck autoplay sessions or visual states that no longer match the actual game logic running underneath. From the platform perspective, the game is technically alive. From the player perspective, the game is unusable. This gap exists because most traditional QA systems were designed around structured applications rather than visually driven environments. Frameworks such as Selenium, Playwright or Appium work extremely well when the application exposes predictable UI structures and accessible states. In browser games, however, much of the real application state exists visually rather than structurally. Modern slot games often rely on canvas rendering, WebGL pipelines, animation-heavy transitions and custom rendering engines. A scripted automation flow may successfully click buttons and validate network responses while the actual gameplay session is visually frozen for the player. In many cases, the DOM itself provides little meaningful information about what is truly happeni

This is a submission for the GitHub Finish-Up-A-Thon Challenge What I Built I built So Lai , a local-first profit tracker for small online shops in Vietnam. The goal is simple: help a seller answer the question they often cannot answer from platform revenue alone: Is my shop actually profitable after product cost, marketplace fees, shipping subsidies, discounts, ad spend, returns, and pending COD? So Lai is not trying to be a full POS, CRM, or inventory suite. It focuses on the painful middle layer that many small sellers still manage through scattered spreadsheets: Product cost by SKU Orders from Shopee, TikTok Shop, Facebook, Zalo, or livestream sales Platform fees, shipping cost, vouchers, and discounts Ad spend by channel and SKU Return/cancellation status COD received vs. pending Net profit by order, product, and sales channel The app runs locally with Node.js and JSON storage, so it does not require paid APIs or cloud setup. GitHub repo: https://github.com/klauski24/so-lai Demo Run locally: git clone https://github.com/klauski24/so-lai.git cd so-lai npm start Open: http://127.0.0.1:4182 What the demo shows: A Vietnamese-language dashboard called Sổ Lãi Shop profile setup Clear explanation of where the numbers come from CSV import for products, orders, and ad costs Manual order entry Profit analysis by channel and SKU Alerts for loss-making products, high COD pending, and high return rate CSV and Markdown report export Screenshots are included in the repository: so-lai-desktop.png so-lai-mobile.png The Comeback Story The first version was too vague. It started as an English-named dashboard called ProfitLens . It had some useful calculations, but it did not feel practical yet. The biggest problems were: The app used Vietnamese currency but had an English product name. There was no place to define the shop. It was not clear where the data should come from. The dashboard looked like a demo, not something a seller could actually use. I reworked the project into So

Bugs, crashes, glitches... Game development is full of them, and even experienced teams run into issues. But while no game is perfect, that doesn't mean we should stop chasing better quality. In this live session, we'll look at why even seasoned game development teams make mistakes and how you can reduce the number of issues in your own projects. What's the talk about? The speaker, Gleb Aslamov, developer advocate and static analyzer developer at PVS-Studio, will walk you through common and less obvious reasons behind code errors, share real-world bug examples from actual game projects, discuss development practices that help prevent bugs before release, and demonstrate tools designed to catch those issues early. Gleb will show some amusing bug examples from projects like osu!, GZDoom, and SanAndreas Unity. The discussion will cover how code reviews, testing, and CI/CD, combined with profilers, dynamic analyzers, and static analyzers, can help detect issues long before players ever encounter them. Also, expect to see static analysis in action, including warnings that reveal performance-sensitive issues and other hidden problems in game code. When? Mark your calendar for June 2, 2026, at 1:00 PM UTC+1 . Join the live talk and learn how to make your game code more reliable—one bug at a time. P.S. And don't forget to check your inbox to confirm the registration!

𝗚𝗶𝘁𝗛𝘂𝗯 𝗦𝘂𝘀𝗽𝗲𝗻𝗱𝗲𝗱 𝗠𝘆 𝟮‑𝗬𝗲𝗮𝗿 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗔𝗰𝗰𝗼𝘂𝗻𝘁 — 𝗛𝗲𝗿𝗲’𝘀 𝗪𝗵𝗮𝘁 𝗜 𝗟𝗲𝗮𝗿𝗻𝗲𝗱 A few days ago, something happened that genuinely shook me as a developer. My GitHub account, KelvCodes, which I had used and built on for over 2 years, got restricted unexpectedly. At first, I thought it was a mistake that would be resolved quickly. I had experienced a temporary restriction before that was lifted within a short time, so I assumed this would be similar. But this time was different. Suddenly, I lost access to years of work and history tied to my developer identity: · 60+ projects · 110+ stars · 50+ followers · client work · collaborations · repositories connected to applications and opportunities For context, GitHub was not just a coding platform for me. It had become part of my professional identity as a software engineer. My resume linked to it. Applications linked to it. Opportunities came through it. In fact, some people literally looked at my GitHub profile before deciding to work with me. That's what made this experience difficult. The Emotional Side Nobody Talks About When developers lose access to an account, people often think: "Just create another account." But when you've spent years building a reputation, consistency, commit history, projects, and credibility under one identity, it doesn't feel that simple. It feels like losing a digital portfolio you carefully built over time. And honestly, for a moment, I felt stuck. Do I wait endlessly for support? Do I pause my work? Do I rebuild everything from scratch? What I Decided After thinking about it deeply, I realized something important: I cannot pause my growth waiting for a platform decision. So I made the decision to continue building. I created a new GitHub account: 👉 https://github.com/kelvinagyareyeboah And while I still hope my old account may eventually be restored, I'm no longer allowing the situation to stop my momentum. Lessons I Learned From This Your skills matter more than one platform Platforms are important

The numbers just dropped. April ecommerce growth came in at 11% more than double the total retail sales growth rate for the same period. For developers building ecommerce infrastructure, this isn't just a market stat. It's a load test result. And a lot of backends are failing it quietly. Here's what 11% ecommerce growth actually means technically and the five infrastructure decisions that determine whether your client captures it or gets buried by it. What 11% growth means at the infrastructure level 11% more orders. 11% more simultaneous channel requests. 11% more concurrent inventory mutations across every connected platform. The sync architecture that handled last year's volume handles this year's volume — until it doesn't. The failure mode is predictable: javascript// Last year's volume const ordersPerDay = 500; const syncWindowsPerDay = (24 * 60) / 15; // 96 const ordersPerWindow = ordersPerDay / syncWindowsPerDay; // 5.2 // This year's volume at 11% growth const ordersPerDayNow = ordersPerDay * 1.11; // 555 const ordersPerWindowNow = ordersPerDayNow / syncWindowsPerDay; // 5.8 // During a flash sale at 10x velocity const peakOrdersPerWindow = ordersPerWindowNow * 10; // 57.8 // 57 orders processed against potentially stale stock per 15-minute window // Up from 52 last year seemingly small, meaningfully worse at the tail The difference between 52 and 58 orders per window sounds minor. At the tail peak flash sale velocity, multiple channels firing simultaneously — it's the difference between manageable oversell exposure and a crisis. The five infrastructure decisions that matter Sync architecture polling vs event-driven This is the highest leverage decision. Everything else builds on it. javascript// Polling — what most systems still run // Sync lag: up to 15 minutes // Cost at 11% growth: proportionally worse setInterval(async () => { const stock = await getSourceOfTruth(); await syncToAllChannels(stock); }, 15 * 60 * 1000); // Event-driven — sync lag approache

As a backend engineer, I have worked on many services where the hard part was not only writing the code. The hard part was keeping the project clean, reproducible, easy to build, and safe to maintain as the team and codebase grew. In Go, a big part of that discipline comes from understanding Go Modules . At first, Go Modules may look simple: a go.mod file, a go.sum file, and a few commands like go mod init and go mod tidy . But in real projects, these small tools decide how your service builds in CI, how your dependencies are verified, how private repositories are handled, and how other developers can use your package. In this article, I want to explain Go Modules in a practical way, from the mindset of someone building production backend systems. We will cover: What Go Modules are and why Go does not work like NPM or Pip How go mod init , go mod tidy , and go mod vendor actually help How I think about Go project structure without over-engineering How to publish your own Go package A few production tips that matter in real teams What Are Go Modules? A Go module is a versioned collection of Go packages. In simple words, it is the boundary of your project. It tells Go: what your project is called which Go version it targets which dependencies it needs which versions of those dependencies should be used A Go module is defined by the go.mod file. Before Go Modules, Go projects were commonly managed inside GOPATH . That worked, but it created friction around dependency versions and project location. Go Modules solved that by making dependency management explicit and project-based. Today, when I start a serious Go project, one of the first things I do is initialize a module. Why Go Packages Feel Different From NPM or Pip If you come from JavaScript or Python, Go package management may feel a little strange at first. In Node.js, packages are usually published to NPM . In Python, packages are usually published to PyPI . Go is different. Go uses the module path as an import

Recently, Apache SeaTunnel welcomed several talented and highly motivated new Committers, and Wang Xuepeng is one of them. As a long-time contributor, Wang Xuepeng’s promotion to Committer was no coincidence. Over the years, he has quietly contributed a tremendous amount to the community, and everyone has witnessed his dedication. From first stepping into the open-source world to becoming a Committer of an Apache top-level project, he has accumulated plenty of stories and valuable insights along the way. What inspired his journey? What experiences and lessons does he want to share with the community? Let’s take a closer look at this exclusive interview with him! Personal Introduction Interview Transcript How long have you been involved in open source? What attracts you to open source? I started getting involved in open source in 2023. What attracts me most is the sense of achievement when the code I write can actually be used within the industry. When did you start contributing to SeaTunnel? What was the trigger? I joined WhaleOps in 2023, which was also when I first started engaging with open source. Now that you’ve been elected as a SeaTunnel Committer, could you summarize your contributions to the community, including both code and non-code contributions? Most of my major feature PRs have focused on building SeaTunnel’s metadata capabilities. When running SeaTunnel jobs and writing job configurations, users often need to manually enter datasource connection information. For file-based tasks, users also need to manually define field mappings. To address these issues, I designed an SPI interface called MetadataProvider . The interface mainly exposes two methods: Map<String, Object> datasourceMap(String connectorIdentifier, String metaDataDatasourceId); Optional<TableSchema> tableSchema(String metaDataTableId); Previously, some users in the community mentioned that datasource usernames and passwords were stored in Nacos with read-only access permissions. In scenario

Bridge your live frontend directly to your AI agent. Discussion | Link

Meet the wet bulb globe temperature, the ominous measure that shows when it's too hot to go outside.

So far this year, authorities have seized or demanded ballots from elections in four states. Experts fear the trend could throw the midterms into chaos unless courts draw a line.

n fan-out microservice architectures, slow-but-completing requests accumulate across services and drive p99 latency far higher than per-service metrics suggest. This article presents an adaptive hedging mechanism that uses DDSketch for real-time quantile estimation, windowed rotation to handle distribution drift, and a token-bucket budget to prevent load amplification. By Prathamesh Bhope

YouTube is launching a new AI feature that creates a personalized video feed based on descriptions of what you want to watch. In its announcement, YouTube says custom content feeds can be built around your specific interests, moods, or favorite topics, which you can then pin to the top of your YouTube homepage - making […]

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