ZFS Performance Tuning in the Real World: ARC, L2ARC, and SLOG
klarasystems.com·6d
💿ZFS Internals
The Workman Keyboard Layout (2010)
workmanlayout.org·10h·
Discuss: Hacker News
⌨️Mechanical Keyboards
What's Coming in ESLint 10
eslint.org·1d·
Discuss: Hacker News
🎯Gradual Typing
The Real Cost of Server-Side Rendering: Breaking Down the Myths
medium.com·2d
🌊Streaming Systems
Unblur Image AI
unblurimg.ai·1d·
Discuss: Hacker News
🖼️JPEG XL
Show HN: Sovant – Memory that works across OpenAI, Claude and Gemini
sovant.ai·21h·
Discuss: Hacker News
⚡Hardware Transactional Memory
Quoting Thomas Klausner
simonwillison.net·21h
🗜️LZW Variants
Digest #182: Vibe-Coded App Risks, GitHub npm Security, Zero-Downtime DB Migration & Kubernetes Load Balancing
devopsbulletin.com·4d
❄️Nix Adoption
Arcjet Brings AI Security Analysis Local — Into Your Code
thenewstack.io·2h
🔒WASM Capabilities
Build a Perfect Blog with FastAPI: Visitor Analytics
dev.to·52m·
Discuss: DEV
📊Feed Optimization
The Future of Code Is Negotiation, Not Instruction.
dev.to·1d·
Discuss: DEV
🔄Language Evolution
Running Goose in Containers (Without Losing Your Mind)
dev.to·4d·
Discuss: DEV
📦METS Containers
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·19h·
Discuss: DEV
📊Multi-vector RAG
Enhanced Bioink Rheology Prediction via Hybrid Machine Learning & Microfluidic Simulation
dev.to·1d·
Discuss: DEV
🌀Riemannian Computing
GPT-5 Codex: How it solves for GPT-5's drawbacks
dev.to·2d·
Discuss: DEV
📏Code Metrics
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·13h·
Discuss: DEV
📊Multi-vector RAG
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·11h·
Discuss: DEV
📊Multi-vector RAG
Uncertainty assessment in satellite-based greenhouse gas emissions estimates using emulated atmospheric transport
arxiv.org·9h
🧮Kolmogorov Complexity
MADS: Multi-Agent Dialogue Simulation for Diverse Persuasion Data Generation
arxiv.org·9h
🔲Cellular Automata
Joint Communication Scheduling and Velocity Control for Multi-UAV-Assisted Post-Disaster Monitoring: An Attention-Based In-Context Learning Approach
arxiv.org·9h
🧠Machine Learning