eBook: Kubernetes at the Edge – Container Orchestration at Scale
conissaunce.com·1d·
Discuss: Hacker News
🔗Redis Protocols
Is Data Modeling Dead?
confessionsofadataguy.com·14h·
Discuss: Hacker News
📋Souffle Datalog
Cve-2025-43330: breaking out of a sandbox using font files
bsssq.xyz·14h·
Discuss: Hacker News
💻Terminal Emulators
Machine learning and quantum chemistry unite to simulate catalyst dynamics
phys.org·1d
✨Effect Inference
PHP: A fractal of bad design (2012)
eev.ee·1d·
Discuss: Hacker News
🔄Bootstrapping
A Kevin week
blog.mitrichev.ch·3d·
Discuss: blog.mitrichev.ch
🧩Constraint Solvers
Noisy: interactive procedural terrain generation sandbox
reddit.com·9h·
Discuss: r/proceduralgeneration
🎪Playground Compilation
Productive AI Programming Using Forced Context Distillation
jx0.ca·2d·
Discuss: Hacker News
💬Interactive REPLs
SevenDB : a reactive and scalable database
reddit.com·1d·
Discuss: r/programming
💾Minimal Databases
Why the Edge Isn’t Just ‘Cloud Computing, But Closer’
thenewstack.io·1d
📦Monorepos
Show HN: XSched, a scheduling framework for multitasking over diverse XPUs
github.com·2h·
Discuss: Hacker News
🔗Language Toolchains
Building Web Servers from First Principles (Part 6)
dev.to·5h·
Discuss: DEV
📋JSON Parsers
Ditch REST: How React + SQL + WebSockets Can Power Real-Time Apps Without the Overhead
dev.to·13h·
Discuss: DEV
🌐Network Protocols
Fortress AI: Verifiable Data Integrity in Collaborative Machine Learning
dev.to·2d·
Discuss: DEV
🛡️Security Type Systems
A JSON alternative but 1000x better
reddit.com·2d·
Discuss: r/rust
🌈Gradual Languages
The "0 Hook" Android Architecture Your Team Has Been Dreaming Of (Especially for Jetpack Compose)
dev.to·1d·
Discuss: DEV
🔄Bootstrapping
LLMs on a Shoestring: The Dynamic Cache Advantage by Arvind Sundararajan
dev.to·2d·
Discuss: DEV
💾Cache Algorithms
why is rust not being utilized to its full potential?
reddit.com·2d·
Discuss: r/rust
⚙️TOML Parsers
Sound Statistical Model Checking for Probabilities and Expected Rewards (extended version)
arxiv.org·3d
⏭️Skip Lists
A Conformal Prediction Framework for Uncertainty Quantification in Physics-Informed Neural Networks
arxiv.org·1h
📡Async Channels