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This year’s World Cup has faced sweltering heat and humidity. Now it may need to deal with wildfire smoke.

🇮🇩 Originally written in Indonesian. This English version was AI-assisted and adapted for a more natural reading experience. It is not a literal translation. _open Introduction Lately, I've been having quite a few discussions with frontend developers about the frameworks they use. My question is actually pretty simple. "When you're building a web frontend, what framework do you usually use?" Almost everyone gave more or less the same answer. "It depends on the project." And honestly, I agree. There's no framework that's always the best choice for every situation. However, as the conversation went on, they started sharing their own experiences and preferences. Well... That's when I started noticing an interesting pattern. Among the developers I talked to, quite a few of them mentioned that they usually use Next.js / React for work, while Vue.js is what they often choose for personal projects. The interesting part is... I never actually asked, "What do you use at work?" or "What do you use for personal projects?" That explanation came up naturally as they explained why they preferred certain frameworks. At first, I thought it was just a coincidence. But after hearing the same pattern from several different people... I got curious. Why do so many developers who are comfortable with both frameworks end up separating how they use them? (・_・;) Disclaimer This isn't based on an official survey or research. It's simply an interesting pattern I noticed after talking with several frontend developers. Discussion Vue.js Looking at today's frontend ecosystem, Vue.js is clearly not a small framework. Its community is large. Its documentation is great. Its ecosystem is also quite mature. That said, compared to React and Next.js, its community is still smaller. Then another question comes to mind. If that's the case... Why do so many developers still choose Vue.js for personal projects? From the answers I heard, the main reason wasn't performance. And it wasn't because other framew

Before a young Athenian took his full place in the city, he spent two years in the ephebeia. Training happened in the gymnasion, organized by tribe, the same tribes that would later send him to represent them in the Boule itself. Nobody handed him full standing first and hoped the judgment would follow. This should have been post seven. It’s showing up as sixteen because the gap only became visible once the room was real enough to test against. The Agora described what a Spec Session does. It never asked whether everyone walking into that room shares an accurate picture of what the agent can actually do. Most rooms don’t. Someone watched a demo and thinks the agent can do anything. Someone else got burned by a bad output three weeks ago and doesn’t trust it with anything real. Nobody’s intuition has been tested against the same tasks, and the spec that comes out of that room ends up too ambitious or too conservative depending on whose untested belief happened to speak first. That gap has a name in Athens. The gymnasion existed because nobody was handed a place in the city first and expected to develop judgment on the job. The ephebeia ran two years, training built around a specific fact. Physical readiness and civic judgment weren’t taught in separate places. They happened in the same space, under the same supervisors, organized by the same tribal groupings that would later structure how the city actually governed itself. The same word, gymnasion, ended up naming both the training ground for eighteen-year-olds and the buildings where Plato and Aristotle did their most serious thinking. Academy and Lyceum were gymnasia first. Nobody separated the trial from the reflection. The trial was how the reflection got earned. That’s the part worth taking seriously. Testing a tool and understanding a tool were never two different activities. The testing is how the understanding gets built. A team that reads documentation about what an agent can do has a description. A team tha

Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is...

Why We Built This As developers and builders at Smart Tech Devs , we love analyzing data trends. But when it comes to trading charts—whether it's crypto, stocks, or forex—reading technical signals manually requires hours of screen time. Beginners struggle with complex patterns, and experienced traders often want a quick sanity check on their thesis. We asked ourselves: Can we leverage Vision LLMs to turn static chart screenshots into professional-grade technical analysis reports in seconds? That question led us to build and launch Realtime Chart Analyzer (ChartAI Pro) , now live on the Google Play Store! ⚡ Key Architectural Features We designed ChartAI Pro to act as a seamless, secure second pair of eyes for market charting. Here is a breakdown of what the application delivers right out of the box: 🧠 1. Multi-Modal AI Chart Analysis Instant Processing: Upload or snap a screenshot from platforms like TradingView, Binance, Zerodha, Groww, Upstox, or MT4/MT5. Signal Detection: The core engine evaluates market structures to return clear Bullish or Bearish indicators alongside an AI confidence score. Plain-English Summaries: No overly dense academic jargon—you receive an intelligible breakdown of current market conditions. 🎯 2. Automated Key Price Levels & Patterns Support & Resistance: The system instantly flags primary macro price horizons. Risk Mitigation: Calculates approximate entry zones, mathematical target price targets, and clear Risk/Reward ratios. Geometric Processing: Detects complex shapes including Head & Shoulders, Double Tops/Bottoms, Triangles, Wedges, Flags, and specialized candlesticks (Doji, Engulfing lines). 📊 3. Native Live Market Infrastructure Live Scanners: Includes a built-in terminal tracking real-time crypto, forex, and stock prices (NSE & BSE). Interactive Tooling: Features built-in interactive TradingView frames directly in the layout, allowing you to scan Top Gainers and Losers without hopping between apps. 🔒 Privacy & Security First When d

Github currently doesn’t let you unstar repositories in bulk. To resolve that let me introduce Workaround : a web app where users can not only unstar GitHub repos in bulk but also use AI filters and discover and star repos with AI. https://github.com/Ayush0054/workaround

I was tired of studying security tools from static cheatsheets, so I built ShellStack When I started prepping for CEH and doing more CTFs, I ran into the same wall over and over: every resource for learning offensive security tools was either a wall of text in a PDF, a GitHub gist with no context, or a cheatsheet that assumed you already knew what half the flags did. I didn't want notes. I wanted something that felt like sitting at an actual terminal — where I could browse tools, see real commands with context, and build the exact command I needed without digging through five tabs. So I built ShellStack . 🔗 Live: https://shell-stack.vercel.app/ 💻 Code: https://github.com/shlokkokk/ShellStack What it actually does ShellStack is a cybersecurity study platform built around one idea: learning security tools should feel operational, not passive. 280+ curated offensive security tools , organized into 19 categories, each with deep-dive docs — commands, common flags, when to use it, installation notes, and real examples Interactive command builders — instead of memorizing flag combos, you fill in a form and get a ready-to-copy command generated live 20 CEH-aligned learning modules , built for structured study instead of flipping through slides 1,000+ command cheat sheet with fast search and one-click copy A terminal-inspired UI that actually feels like a cyber-ops console instead of another docs site The build Stack: React 19, TypeScript, Vite, Tailwind CSS, GSAP, React Router, Radix UI primitives A few things I focused on: Search that actually ranks results. Early on, tool search was just naive string matching, which meant typing "nmap" could bury the actual Nmap entry under ten unrelated tools that happened to mention it in a description. I rebuilt it to weight exact and prefix matches higher, so the tool you're looking for shows up first, not buried on page 3. Command builders that don't feel like a form. The tricky part wasn't the UI, it was designing a data model that

Week 0 of my DevOps Micro Internship was about the foundations—the parts of the internet you use every day without thinking about them. The exercise that made it click was a simple scenario: a friend launches an online bookstore called EpicReads, hosted on a server in Finland, and asks how people anywhere in the world can open it. The answer is a short chain of technologies working together. The Chain of Technologies Packet Switching: When someone opens the site, their request does not travel as one big lump. Packet switching breaks the data into small packets that each take the best available path across the network and get reassembled at the other end. This is what keeps the internet fast and resilient even across continents. IP Addresses & TCP/IP: Every device on the way has a unique IP address, like a postal address, so the user's computer and the Finland server can actually find each other. The TCP/IP suite runs the conversation: IP handles addressing and routing, while TCP makes sure the packets arrive complete and in the right order, asking again for anything that went missing. HTTP & HTTPS: On top of that sits HTTP and HTTPS, which define how the browser and server actually exchange the web pages. HTTPS adds encryption, so a customer's details and payment stay private. DNS: The last piece is DNS. Nobody wants to type an IP address, so DNS acts as the internet's phonebook, translating epicreads.com into the server's IP. To point a domain at an IPv4 address, you use an A record . The Biggest Takeaway The biggest lesson for me was not any single term. It was seeing how these layers hand off to each other so cleanly that the whole thing feels instant to a user. Understanding that chain is the groundwork for everything else in DevOps, because once you know how a request really travels, troubleshooting stops being guesswork. P.S. This post is part of the DevOps Micro Internship with Agentic AI Cohort 3 by Pravin Mishra. You can begin your DevOps journey by joining

Balmuda has engineered a remarkably pleasant breeze with its new NatureWind Studio, but is it worth hundreds more than its competition?

Artikel ini juga tersedia dalam bahasa Inggris Pendahuluan Beberapa waktu terakhir saya sering berdiskusi dengan beberapa frontend developer mengenai framework yang mereka gunakan. Pertanyaan saya sebenarnya sederhana. "Kalau membuat frontend web, biasanya pakai framework apa?" Hampir semuanya memberikan jawaban yang kurang lebih sama. "Tergantung kebutuhan." Dan saya setuju. Tidak ada framework yang selalu menjadi pilihan terbaik untuk semua kondisi. Namun, setelah pembahasannya berlanjut, mereka mulai menceritakan pengalaman dan preferensinya masing-masing. Nah... Di sinilah saya mulai menemukan pola yang menarik. Dari beberapa developer yang saya ajak berdiskusi, cukup banyak yang mengatakan bahwa mereka lebih sering menggunakan Next.js / React untuk pekerjaan, sedangkan Vue.js lebih sering digunakan untuk personal project. Padahal saya tidak pernah bertanya, "Kalau kerja pakai apa?" atau "Kalau project pribadi pakai apa?" Penjelasan itu muncul begitu saja ketika mereka mulai menjelaskan alasan di balik framework yang mereka pilih. Awalnya saya mengira itu hanya kebetulan. Tapi setelah mendengar pola yang sama dari beberapa orang... Saya jadi penasaran. Kenapa banyak developer yang sudah menguasai keduanya justru memilih memisahkan penggunaannya? (・_・;) Disclaimer Tulisan ini bukan hasil survei atau penelitian resmi. Ini hanyalah pola yang saya temui dari beberapa frontend developer yang sempat saya ajak berdiskusi. Pembahasan Vue.js Kalau melihat ekosistem frontend saat ini, Vue.js jelas bukan framework yang kecil. Komunitasnya besar. Dokumentasinya bagus. Ekosistemnya juga sudah cukup matang. Namun memang harus diakui, jika dibandingkan dengan React dan Next.js, komunitasnya memang masih lebih kecil. Lalu muncul pertanyaan. Kalau begitu... Kenapa masih banyak yang memilih Vue.js untuk personal project? Dari beberapa jawaban yang saya dengar, ternyata alasan utamanya bukan karena performa. Bukan juga karena framework lain kurang bagus. Melainkan karena pengalama

A subscription audit should survive contact with a real app. So I started with mine. TurnTalk is a live iOS travel translator with in-app purchases. I operate the app and its RevenueCat implementation. That makes it a useful public example, but not a customer case study. I will not claim a conversion lift I have not measured. Here is the first finding I would put at the top of its audit. Evidence: the store page introduces several different jobs The subtitle makes a focused promise: Understand Any Guide, Live But the first screenshot sequence spreads attention across: AI travel translation Voice translation Photo translation Instant translation Each feature may be useful. The issue is not feature quality. The issue is that a visitor has to decide which product TurnTalk is before deciding whether to download it. A traveler who wants to understand a live tour guide is evaluating a specific job. A visitor comparing general translator apps is evaluating a much broader category. Those users arrive with different intent. Why I would rank this before a paywall redesign The paywall cannot repair ambiguous acquisition intent. If the store page attracts people for four different jobs, aggregate trial and purchase rates become difficult to interpret. A low conversion rate could mean: The paywall is weak The first session does not prove the promised value The visitor downloaded for photo translation but reached a live-translation flow The listing attracted broad curiosity instead of durable travel intent Changing the paywall first would alter one screen while leaving those explanations mixed together. That is not a clean experiment. P0 action: make the first three screenshots tell one story I would test a narrower opening sequence: Situation: You joined a tour, but cannot understand the guide Mechanism: Put in your existing earphones and start live translation Outcome: Hear the guide in your language without staring at the screen Photo translation and secondary conversation mod

Hot take 👀 The hardest part of React isn't hooks. It's knowing how to structure an app so it stays maintainable as it grows. Clean architecture beats clever code every time. What's been the biggest challenge in your React projects?

Get ready to crush your coursework or scoot to class in style with these back-to-school gear picks.

“Context bombing” tricks malicious AI agents into shutting down before they can do harm.