📐 E-graphs

Equality Saturation, Program Optimization, Rewrite Systems, Compiler Backends

CSS Inheritance, The Cascade And Global Scope: Your New Old Worst Best Friends – Smashing Magazine
smashingmagazine.com·4h
📟Terminal Typography
Travels, 11
cameroncounts.wordpress.com·16h
🎯Performance Proofs
AutoMapper and MediatR Commercial Editions Launch Today
jimmybogard.com·4h·
Discuss: Hacker News
🔓Open Source Software
C++26 Draft Finalized
infoq.com·1d·
Discuss: Hacker News
💧Liquid Types
Code⇄GUI bidirectional editing via LSP
jamesbvaughan.com·1d·
Discuss: Hacker News
⟷Bidirectional Programming
NativeJIT: A C++ expression –> x64 JIT
github.com·3d·
Discuss: Hacker News
🏭Compiler Backends
Fluid Aerial Networks: UAV Rotation for Inter-Cell Interference Mitigation
arxiv.org·6h
🕸️Network Topology
Recommending Variable Names for Extract Local Variable Refactorings
arxiv.org·1d
🦀Rust Macros
Heartbeat of Modern Web Real Time Patterns User Design（1751529795407700）
dev.to·2h·
Discuss: DEV
🌊Stream Processing
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
arxiv.org·1d
💻Local LLMs
MALIBU Benchmark: Multi-Agent LLM Implicit Bias Uncovered
arxiv.org·6h
🔲Cellular Automata
Make C++ a better place #4: Go as an alternative
dev.to·2d·
Discuss: DEV
🔗Concatenative Programming
Week 1 — Learning Basic concepts of Cybersecurity
infosecwriteups.com·5h
📡Network Protocol Design
MoNE: Replacing Redundant Experts with Lightweight Novices for Structured Pruning of MoE
arxiv.org·1d
🧠Intelligence Compression
An AST-guided LLM Approach for SVRF Code Synthesis
arxiv.org·1d
📝Compiler Design
Beyond Code: The Multidimensional Impacts of Large Language Models in Software Development
arxiv.org·2d
💻Programming languages
Correlated Mutations for Integer Programming
arxiv.org·2d
🌸Bloom Variants
Learning Constraints Directly from Network Data
arxiv.org·2d
🧠Machine Learning
Heartbeat of Modern Web Real Time Patterns User Design（1751512389375700）
dev.to·7h·
Discuss: DEV
🌊Stream Processing
Advanced Golang Concurrency Patterns: Building Million-Events-Per-Second Data Pipelines with Intelligent Resource Management
dev.to·1d·
Discuss: DEV
🌊Streaming Systems