Techgalery.com by @adm.uiux

Cloud Infrastructure I’ve used AWS before, and one thing has always bothered me about it: AWS is incredibly powerful, but sometimes I just want a server. Not a VPC architecture. Not an IAM strategy. Not five different services just to expose one application to the internet. Just give me a Linux machine, an IP address, SSH access, and let me deploy my app. That is basically where Amazon Lightsail starts to make sense. Recently, I used Lightsail to deploy a Docker-based web application and OpenClaw. After using it, my impression is pretty simple: Lightsail feels less like AWS and more like a traditional VPS provider — except it still lives inside the AWS ecosystem. And for beginner developers, that difference is surprisingly important. The Problem With AWS for Beginners AWS EC2 isn't inherently difficult. The difficult part is everything surrounding EC2. When you create a normal EC2 instance, you quickly encounter things like: Regions and availability zones AMIs Instance families EBS...

If you're a software developer, chances are your C: drive slowly fills up until Windows starts complaining about low disk space—even though you barely store any personal files there. The real culprit isn't your documents. It's the dozens of development tools that quietly download SDKs, caches, virtual machines, Docker images, AI models, and package dependencies into your user profile. Here's a real-world example from my machine. Location Size What it contains Safe to reclaim Local\Docker\...\docker_data.vhdx 15.4 GB Docker Desktop WSL virtual disk ⭐ Partial Local\Packages 15.5 GB Microsoft Store apps + WSL disks ⭐ Partial Local\JetBrains + Roaming\JetBrains 21.3 GB IDE indexes, logs, caches ✅ Mostly Local\Android + .android 12.8 GB Android SDK + emulator images ⭐ If unused Local\Google 8.1 GB Chrome cache & profile ⭐ Partial Local\uv 6.4 GB Python uv package cache ✅ Yes Local\Genymobile 5.5 GB Genymotion virtual machines ⭐ If unused Roaming\Cursor 6.0 GB Cursor ch...

Police reportedly seized dozens of gold bars, with estimates suggesting a total weight of tens of kilograms Cash discovered at multiple locations is believed to amount to hundreds of billions of rupiah (potentially tens of millions of US dollars) Other assets under investigation include properties and financial holdings suspected to be worth hundreds of billions to over a trillion rupiah The corruption investigation involving former Indonesian Attorney General’s Office Special Crimes Division (Jampidsus) chief Febrie Adriansyah has become one of Indonesia’s most significant legal and political developments in 2026. The case has drawn widespread public attention because Febrie previously led investigations into several of the country’s largest corruption scandals. Background For years, Febrie Adriansyah was regarded as one of Indonesia’s most influential prosecutors. As head of the Special Crimes Division, he supervised investigations into numerous high-profile corruption cases involvin...

Can a small team—or even a solo founder—build a coding agent that rivals Claude Opus using open-source models? The short answer is yes, but only if we redefine what “rival” actually means. The frontier AI labs operate at a scale that is almost impossible to replicate. Yet modern hardware, open models, and new training techniques have dramatically lowered the barrier to building specialized coding agents that can compete in specific domains. This article explores the technical landscape: hardware choices, Qwen’s capabilities, fine-tuning strategies, LoRA, RLHF, and what it would realistically take to build a Claude-level coding assistant. The Biggest Misconception: Claude Opus Is Not Just a Model Many developers think: If I get a sufficiently large open model and fine-tune it, I can create my own Claude Opus. The reality is far more complicated. Claude Opus consists of: Massive pretraining on trillions of tokens Supervised fine-tuning (SFT) Reinforcement learning Synthetic data generati...