Podcast Rewind: Understanding MCP, Computer Coasters, and an Interview with Andrew Fyfe
macstories.net·13h
🕸️WASM Archives
Implement automated monitoring for Amazon Bedrock batch inference
aws.amazon.com·13h
🔄Sync Engine
Bonito.jl – A flashy Julia web framework
makie.org·18h·
Discuss: Hacker News
📝Concrete Syntax
Old-school functional and design specification reviews
smalldatum.blogspot.com·12h·
Discuss: Hacker News
📏Code Metrics
PostgreSQL Aggregation Processing Speed
blog.kagamino.dev·1d·
Discuss: Hacker News
🗃️Database Storage
H1B-KV: Hybrid One-Bit Caches for Memory-Efficient Large Language Model Inference
arxiv.org·2h
💨Cache Optimization
Making performant Python bindings to compiled code
kylebarron.dev·16h·
Discuss: Hacker News
🦀Rust Macros
When AI Turns Culture into Slop
link.springer.com·1d·
Discuss: Hacker News
🏛Digital humanities
What modern programming feels like
news.ycombinator.com·5h·
Discuss: Hacker News
🔩Systems Programming
Transductive and Learning-Augmented Online Regression
arxiv.org·1d
🔍Information Retrieval
Four years, Five failures, One compiler
daymare.net·2d·
Discuss: Hacker News, r/programming
🏗️Compiler Archaeology
digital-asset/cn-quickstart
github.com·5h
🔄Sync Engine
Java Backend Coding Technology: Writing Code in the Era of AI #Version 1.1
dev.to·1d·
Discuss: DEV
⚡SMT Applications
Evaluating LLM Safety Across Child Development Stages: A Simulated Agent Approach
arxiv.org·2h
💻Programming languages
RAG Chunking Strategies That Actually Work (and Why Most Don’t)
dev.to·21h·
Discuss: DEV
📄Text Chunking
Community SDK: How Auth0 built and scaled its developer ecosystem
developerled.substack.com·18h·
Discuss: Substack
🔓Open Source Software
Fast Leave-One-Out Approximation from Fragment-Target Prevalence Vectors (molFTP) : From Dummy Masking to Key-LOO for Leakage-Free Feature Construction
arxiv.org·2h
🧮SMT Solvers
MADS: Multi-Agent Dialogue Simulation for Diverse Persuasion Data Generation
arxiv.org·2h
🔲Cellular Automata
ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization
arxiv.org·2h
🧠Machine Learning
Database Transactions: Everything That Can Go Wrong When Using Them
hackernoon.com·1d
📝Database WAL