🧩 WASM Modules

Module Linking, Component Model, Interface Types, Runtime Composition

An RTL-SDR Blog V3 Shield Footprint PCB
rtl-sdr.com·23h
📻Homebrew Protocols
Introducing SRA Verify – an AWS Security Reference Architecture assessment tool
aws.amazon.com·1d
🌳Archive Merkle Trees
Show HN: The Magic of Code – book about the wonders and weirdness of computation
themagicofcode.com·1d·
Discuss: Hacker News
📐Mathematical Art
Notification service
reddit.com·11h·
Discuss: r/homelab
📡RSS
Comparison of MGR, SunView, OpenWindows and X11R6 (2022)
oldvcr.blogspot.com·2d·
Discuss: Hacker News
🕸️WASM Archives
A lightweight TCP in UDP tunnel using eBPF for MPTCP
github.com·12h·
Discuss: Hacker News
📡Network Protocol Design
We Tested AI Coding Assistants So You Don't Have To
moioapp.com·9h·
Discuss: Hacker News
📏Code Metrics
Empowering Virtual Agents With Intelligent Systems
cacm.acm.org·1d
🔲Cellular Automata
Hands‑On with Agents SDK: Your First API‑Calling Agent
towardsdatascience.com·2d
🌊Streaming Systems
Intellidwell Sprinkler Controller
reddit.com·11h·
Discuss: r/homelab
🏠Home Automation
Beyond the Migration: Optimizing Legacy Code for AI Performance & Scalability
dev.to·3d·
Discuss: DEV
🌊Streaming Systems
What Does Your Project Manager Actually Do All Day?
dev.to·17h·
Discuss: DEV
🧩WASM Components
Writing Good Blaze Engineer Tasks (Automate Coding Tasks)
dev.to·5h·
Discuss: DEV
🔄Reproducible Builds
On the Inevitability of Left-Leaning Political Bias in Aligned Language Models
arxiv.org·1d
💻Programming languages
Flow Symmetrization for Parameterized Constrained Diffeomorphisms
arxiv.org·23h
🌀Differential Geometry
Tiny language models
arxiv.org·1d
🎙️Whisper
Building Bod.Coach: LLM Lessons Learned The Hard Way.
dev.to·1d·
Discuss: DEV
💻Local LLMs
We maintain HarfBuzz, the text shaping engine used in Linux desktop and more — Ask us anything (or tell us what confused you)
github.com·1d·
Discuss: Hacker News, r/linux
🔠Terminal Fonts
Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty
arxiv.org·23h
🧠Intelligence Compression
Development and Deployment of Hybrid ML Models for Critical Heat Flux Prediction in Annulus Geometries
arxiv.org·1d
🧠Machine Learning