Supercharge Your WhatsApp: Introducing the AI Copilot Desktop App Have you ever wished your WhatsApp could do more than just send messages? Imagine an intelligent assistant right within your chat interface, ready to help you manage conversations, schedule tasks, and even draft replies. That’s exactly what the WhatsApp AI Assistant project aims to deliver! check…
It’s almost 2026. Still no perfect rich text editor. But here’s the truth: only a few are worth your time. 1. Lexical: Fast & Flexible 🏎️ Meta’s editor. Blazing fast, React-first, made for custom apps. Feels like LEGO blocks — build anything. Pros: Super fast, open source, flexible. Cons: Setup is tricky. Docs are meh….
Let’s explore the top Open Source Alternatives to Cursor that can improve your coding experience in 2025. 1. Zed Zed stands out as a blazingly fast, collaborative code editor built with performance at its core. Written in Rust with GPU acceleration, Zed offers native performance that puts it ahead of many competitors. Key Features: Real-time…
I tried Live Translation in iOS 26, and it might be the best Apple Intelligence feature yet
TechSmith are offering 20% off all Camtasia plans with this code.
The iPhone 17 Pro and iPhone 17 Pro Max are both facing shipping delays, as so many people are pre-ordering them.
Photo by Gabriel Heinzer on Unsplash For as long as I can remember as a developer, I’ve been told: Master the command line — it unlocks a whole new level of productivity. I always neglected that advice, thinking it was meant for people with extraordinary memory. How can a normal person memorize all the ls…
Project Address: https://github.com/lengjingzju/json LJSON Reuse Mode(editable DOM) Parsing Tested 1000 Times (2.3 GB/s) (Test Platform: PC | CPU: Intel i7-1260P | OS: Ubuntu 20.04 (VMWare)) SAX Stream Mode, The memory usage of LJSON is constant (17328 Bytes) Performance Comparison of Big Json File Introduction: Redefining High-Performance JSON Processing In the realm of C language JSON…
How I transformed AWS’s demo retail microservices application into a production-ready, cost-optimized platform using Terraform, GitHub Actions, ArgoCD, and EKS Auto Mode. Background The AWS Retail Sample App is a microservices-based demo designed to showcase cloud-native workloads. While it demonstrates architecture concepts, it’s not “production-ready” out of the box. The objective of this project was…
I chatted to an engineer about how they chose what got updated, and what didn’t, for the new V8 Cyclone.
