Topic
1071 articles found
In the world of modern healthcare tech, privacy and latency are the two biggest hurdles. Sending sensitive health data to a cloud server often feels like a gamble. But what if your browser could process complex medical queries locally? Thanks to the maturation of WebGPU and the WebLLM ecosystem, we
Telegram has 950+ million monthly active users and has become the go-to platform for crypto communities, news channels, research groups, and brand communications. If you need to scrape Telegram channels, extract messages, reactions, media, or metadata from public Telegram channels — for OSINT resear
Introduction Databases are essential for storing and managing data in modern applications. Many organizations turn to PostgreSQL, a powerful, open-source object-relational database management system known for its reliability and data integrity. Data Definition Language (DDL) and Data Manipulation La
Originally published on Remote OpenClaw. Publishing a skill on the OpenClaw Bazaar is only the beginning. As frameworks evolve, best practices shift, and users report issues, you need a reliable system for shipping updates without breaking existing installations. This guide covers semantic versionin
CSS animations are genuinely fun — right up until you need to animate something that counts, steps, or cycles through a list. You know the moment. You're building a loading indicator, a progress bar, or a sequenced visualization, and then it hits you: @keyframes progress { 0% { content: "0%"; } 1% {
🧠 Introduction ⚙️ Why Traditional Scraping Falls Short 🧩 What Is a “Web-Access Skill”? 🛠️ Setup (3 Steps Only) Enable Chrome Remote Debugging Open: chrome://inspect/#remote-debugging Install the Skill Clone the repository: git clone https://github.com/eze-is/web-access ~/.claude/skills/web-access
Drop-in waiting room middleware for gin sema. The room package was created immediately after I updated the sema package on GitHub. I wanted to implement the new sema package directly by consuming it a real world manner that could bring tangible value to other developers, thus the room package was cr
When I built UltrafastSecp256k1 — a high-performance secp256k1 cryptography library targeting CPU, CUDA, OpenCL, Metal, ESP32, and a dozen other platforms — I faced a decision every serious crypto library author eventually faces. "You need a third-party audit." The quotes I got: $80K–$120K. Two week
In my last Week in Review post, I mentioned how much time I’ve been spending on AI-Driven Development Lifecycle (AI-DLC) workshops with customers this year. A common theme in those sessions is the need for better cost visibility. Teams are moving fast with AI, but as they go from experimenting to fu
This is a submission for the DEV April Fools Challenge DEFINITELY NOT A TROLL GAME™ — a platformer that looks completely normal but systematically betrays every gaming instinct you've ever developed. Level 1 is honest. It teaches you the rules: collect coins, avoid spikes, reach the exit. You feel s
The $15 Per Ride You Didn't Know About: What 243 Million NYC Taxi Rides Reveal Lyft pays wheelchair-accessible drivers 204% of fare — a flat ~$15/ride bonus regardless of trip distance. Uber pays 101%. Same city, same mandate, completely different economics. 243 million high-volume for-hire vehicle
Building Adaptive Learning Systems: Lessons from Sikho.ai Over the past year we have been building Sikho.ai — an AI-native learning platform that adapts in real time to each learner. Along the way we picked up some hard-won lessons about what adaptive systems actually require in production. This pos
Why I Built My Own AI Tutor (and What I Learned) Most devs have built a side project chat wrapper around OpenAI or Anthropic. Few have tried to turn one into a real learning tool. This post is about what changes when you do — and what I learned building Sikho.ai. Hooking a model into a UI takes an a
“There are only two hard things in computer science: cache invalidation and naming things.” It’s been about a year since I started using AI daily. In my core role as an SRE/DevOps engineer, AI behaves like a very fast and very obedient assistant. It helps me collect data across services via MCP, gen
Software Development Life Cycle : SDLC (Software Development Life Cycle) model is a structured, step-by-step framework that defines how software is planned, designed, built, tested, and deployed to ensure high quality and efficiency. It breaks development into phases—typically planning, analysis, de
What is SDLC? It ensures: SDLC Phases (Simple Understanding) SDLC Models with Examples 1. Waterfall Model Example: 2. V-Model Example: 3. Incremental Model Example: 4. Iterative Model Example: 5. Spiral Model Example: 6. Agile Model Example: 7. DevOps Model Example: 8. Big Bang Model Example: A smal
Three Lessons From Shipping an AI Product to Real Users Six months in to running Sikho.ai at meaningful scale, here are three lessons we keep relearning. Sharing for any team about to ship their own AI product. Users will tolerate quite a lot from an AI tutor. Mistakes. Long answers. Occasional weir
Article Mano-P: Open-Sourcing the #1 GUI Agent on OSWorld — Pure Vision, On-Device, Apache 2.0 Today we're open-sourcing Mano-P under Apache 2.0. GitHub: https://github.com/Mininglamp-AI/Mano-P Mano-P is a pure-vision GUI agent. It looks at your screen — literally a screenshot — understands the UI e
Modern observability—think Grafana, Datadog, New Relic, and similar stacks—gives you deep insight: traces, service maps, golden signals, and often real-user monitoring. That raises a fair question: if telemetry is everywhere, why run uptime checks and synthetic monitors? They answer different questi
This is a submission for the DEV April Fools Challenge TL;DR Upload a screenshot → Hotfix roasts it Gemini generates structured incident reports Community votes via escalation system + shares Top incidents become global P0 disasters Hotfix files serious incident reports. It does not understand that
