A Breadboard Computer in Three Chips
hackaday.com·15h
🏗️Hardware Architecture
A Modular Couch Is Worth It. Here’s Why
wired.com·23h
🏛️Lakehouse Architecture
What to expect at Meta Connect 2025: 'Hypernova' smart glasses, AI and the metaverse
engadget.com·14h
🧊Iceberg Tables
Google Has Finally Set Usage Limits for Gemini AI (Based on How Much You Pay)
lifehacker.com·20h
⏱️Real-time Analytics
QRPorter — local Wi-Fi file transfer via QR (PC ↔ Mobile)
github.com·26m·
Discuss: r/opensource
🗜️Archive Compression
Effects of natural extracts in cognitive function: systematic meta-analysis
frontiersin.org·8h·
Discuss: Hacker News
☕Caffeine Science
GraalVM's LLVM Back End
praj.in·19h·
Discuss: Lobsters, Hacker News
⚙️Query Compilers
Many hard LeetCode problems are easy constraint problems
dev.to·9h·
Discuss: DEV
🔢NumPy
🎭How to test Next.js SSR API (Playwright + MSW) Part 2 Parallel test🎭
localhost·8h·
Discuss: DEV
📋Tokei
Digest #179: Vibe Coding Hype, DevOps Exercises, Terraform+MCP, Windows inside a Docker
devopsbulletin.com·21h
🏗data engineering
ApexEloquent v1.0 – An Apex ORM Framework with True DB-Free Unit Testing
dev.to·23h·
Discuss: DEV
🧮Apache Calcite
SaaS Ethics Manifesto
mdubakov.me·22h·
Discuss: Hacker News
🧊Iceberg Tables
Days 29-30: Mission Accomplished - Building an Enterprise Platform in 80 Hours
dev.to·15h·
Discuss: DEV
⏱️Real-time Analytics
Why Python is Revolutionizing Cybersecurity: The Psychology-Driven Approach That's Changing Everything
dev.to·16h·
Discuss: DEV
🧭Behavioral Bioinformatics
Asus wants you to pay $1469 for a posh ProArt RTX 5080 GPU with a wooden frame - is a $500 premium worth it? I don't think so
techradar.com·14h
📊Columnar Engines
Service Discovery: The Backbone of Modern Distributed Systems day 50 of system design
dev.to·6m·
Discuss: DEV
👁️Observability
K2-Think: A Parameter-Efficient Reasoning System
arxiviq.substack.com·19h·
Discuss: Substack
⚙️Query Compilers
Automating Hub & Spoke Secure Azure Networks with Terraform (IaC) & Azure Firewalls
dev.to·14h·
Discuss: DEV
🗄️Storage Tiering
One of the most common reasons that AI products fail? Bad data - Fortune
news.google.com·13h
🔍AI Detection
Automated Artifact Mitigation in High-Resolution ECG via Adaptive Spectral Filtering and Deep Learning
dev.to·14h·
Discuss: DEV
📡Signal Processing