7+ min ago (414+ words) This week I was trying to work on a simple Deep Learning project to get familiar with PyTorch APIs. Since I had just returned from a staycation where I drove a rental car for over 600 miles, I decided to build a "Car Damage Classifier." I kept the goal simple: the model classifies if an uploaded image of a car is "DAMAGED" or "UNDAMAGED". I couldn't find a ready-to-use dataset, so I created one by merging a damaged car dataset (source: [lplenka/coco-car-damage-detection-dataset]) and a new car dataset (source: [yamaerenay/100-images-of-top-50-car-brands]). I made sure I roughly had the same number of images in my training set to avoid class imbalance. I began training using ResNet-18 as the backbone. Just after 10 epochs, my code reported a validation accuracy of 95.08%. I was thrilled. I tested the model with random images from the…...

18+ min ago (923+ words) In the early stages of the project, we used a popular Node.js framework. In actual deployment, when connection numbers exceeded 50,000, server CPU usage soared to 95%, and response latency increased from a few milliseconds to several hundred milliseconds. Even worse, memory usage grew linearly, quickly reaching the system's physical memory limit. The technical team tried various optimization solutions: adding more servers, optimizing database connections, using load balancing, but none had ideal effects. The core problem lay in fundamental flaws in the framework's own connection management mechanism. Node.js's single-threaded event loop, while avoiding thread switching overhead when handling large numbers of connections, cannot fully utilize multi-core CPU performance. When one connection's processing takes slightly longer, the entire event loop gets blocked, affecting all other connections. Go's goroutines, although lightweight, become bottlenecks in scheduling latency and memory overhead under high concurrency....

19+ min ago (603+ words) This article is a machine translation of the contents of the following URL, which I wrote in Japanese: This is the third post in the Japan AWS Top Engineers Advent Calendar 2025. In the previous post, we discussed AWS CodeCommit, which manages system assets. This time, we'll discuss CodeDeploy, which is used to deploy source code and system configurations. " Previous AWS CodeCommit post CodeDeploy is a service that automates deployments for AWS services such as Amazon EC2 and Lambda. AWS CodeDeploy enables safer deployments, making it easier to implement deployment strategies such as canary and blue-green deployments, which involve gradual deployments. "I asked AI to draw a diagram like this, and it came up with this image. This is also similar to blue-green deployment, but it initially shifts a small portion of traffic, say 10%, to the new version. If no issues are…...

33+ min ago (952+ words) No lawyers. No UK education. Endorsed in one week. Here's everything I learned. Spoiler: Your GitHub Profile Might Be Your Ticket to the UK. Here's A Developer's Global Talent Visa Playbook. Open Source, Side Projects, and a UK Visa, How Developers Can Qualify for Global Talent Hey dev community " In 2023, I mass of friends and well wishers from Pakistan and moved to London on a UK Global Talent Visa, endorsed as an Exceptional Talent by Tech Nation. I was under 25. No Oxbridge degree (from the universities of Oxford and Cambridge). No FAANG on my resume. No immigration lawyer. I researched everything myself, applied, and got endorsed in one week. If you're a developer, engineer, or founder wondering whether this visa is realistic for you, especially if you're outside the UK or don't have a "traditional" tech background, this post is…...

36+ min ago (391+ words) HookTunnel: A Modern Alternative to Ngrok for Webhook Development If you've ever struggled with webhook development, you know the pain: setting up tunnels that disappear on restart, losing webhook payloads when your local server is down, and the endless cycle of debugging in production. I built HookTunnel ('tsuu') to solve these problems and make webhook testing as seamless as local development. Traditional tools like ngrok are fantastic for quick HTTP tunneling, but they fall short for serious webhook development: HookTunnel addresses these pain points with a complete webhook development platform. HookTunnel provides everything you need for modern webhook development: " Persistent Relay URLs Create endpoints that stay the same across sessions. No more updating webhook URLs in external services. " Offline Queueing Webhooks are automatically queued when your local server is offline. When you reconnect, they stream in real-time. " Inspection & Replay Full…...

38+ min ago (527+ words) AI is no longer a shiny add-on in our workflow, it's the silent co-worker sitting next to us every day. The one who writes our boilerplate, explains complex errors, generates documentation, and sometimes even finishes entire components before we do. And that raises a new question for this series: Are developers slowly becoming AI managers instead of coders? Not in a dystopian way, but in a real, day-to-day, "I spend more time verifying than writing" kind of way. This is the third part of my Developers vs AI series. Developers used to spend most of their time typing. Now we spend more time: We're shifting from creators to curators. This isn't bad, but it changes the skillset required to stay sharp. AI can generate clean functions all day. What it still struggles with: This makes architecture more valuable than ever....

39+ min ago (254+ words) So I've been doing my masters in cyber security and I wanted a small side project that wasn't too crazy but still kinda useful. I've been messing with Nim lately and decided to try building a simple Kali Linux "health check" tool just to learn the language better. Ended up calling it KaliSentry. It basically checks if your Kali install is kinda broken. Nothing advanced. Just simple stuff like: is the firewall even on ssh config doing something dumb random services running when they shouldn't updates that you forgot about DNS doing whatever it wants Pretty much all the things that beginners (and honestly me too sometimes) mess up on Kali. It runs in the terminal and spits out a tiny report like: That's basically it. No magic. Just a quick "hey your system is ok" or "fix this stuff…...

45+ min ago (134+ words) Unraveling the Mysteries of AI: A Journey Through the "Sparks of Intelligence" The Ancient Roots of AI From Myth to Reality: Real-World Applications Conclusion: Mastering the History and Evolution of AI Abualzait, M. (2023). AI Tomorrow: Rewriting the Rules of Life, Work and Purpose. [Amazon] Goodfellow, I., Shleifer, A., & Schmidhuber, J. (2016). Deep learning. Nature, 521(7553), 436-444. Silver, D., et al. (2016). Mastering the game of Go with deep neural networks and tree search. Nature, 529(7587), 484-489. Turing, A. M. (1950). Computing machinery and intelligence. Mind, LIX(236), 433-460. Meta description: "Unravel the mysteries of AI with our comprehensive guide to \"Sparks of Intelligence.\" Explore the rich history of AI, from ancient myths to modern innovations, in Malik Abualzait's book \"AI Tomorrow\" on Amazon."...

45+ min ago (266+ words) Imagine a world without traffic jams, accidents, or infrastructure failures. What if AI could anticipate and prevent these events before they even happen? We're closer than you think. The key lies in a new breed of smart sensor systems leveraging a hybrid approach. They combine spatial feature extraction with spiking neural networks to detect anomalies in real-time. This means identifying unusual patterns in infrastructure behavior " like a bridge section slightly out of alignment or a traffic flow irregularity " within milliseconds. Think of it like a doctor using a stethoscope but instead of listening to a heart, it's analyzing the vital signs of our city's infrastructure. The 'stethoscope' identifies key features, and then the 'brain' (neural network) rapidly determines if something is amiss, triggering an alert before a problem escalates. One implementation challenge lies in training the system to recognize subtle…...

46+ min ago (431+ words) In Amazon's cutthroat marketplace, data isn't just power'it's the difference between outselling rivals and getting left in the dust. Manual checks won't cut it anymore. This guide breaks down how to build a scalable, real-time competitor monitoring system that turns data into actionable wins (with a real-world case study to prove it). My phone buzzed at 3 AM, and half-asleep, I saw the alert: ALERT: Main competitor launched new product (15% cheaper than your bestseller) ' sponsored ads live now. This wasn't a one-off. Over 3 months, my market share in two core categories slowly slipped'always one step behind. That's when I realized: On Amazon, the information gap = survival gap. Manual checks mean you'll miss critical windows: Top sellers don't refresh pages manually'they use minute-level automated monitoring. Here's how to build yours. Not all "competitors" matter. Focus on 3 groups: Track small changes that reveal…...