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Week 26, 2025
brajeshwar.com·3h
🎬WebCodecs API
Observability in the Age of AI
blog.buildrappo.com·1d·
Discuss: Hacker News
👁️System Observability
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Programming as Theory Building – The Death and Revival of Understanding
b0a04gl.site·2h·
Discuss: Hacker News
💻Programming languages
Show HN: Shouldiuse.dev – software dependency health checker
shouldiuse.dev·7h·
Discuss: Hacker News
🔓Open Source Software
What's coming to JavaScript
deno.com·1d·
Discuss: Hacker News
🎯Gradual Typing
Think Your Business is Secure? Here’s Why You Might Be Wrong
infosecwriteups.com·20h
🎯Threat Hunting
Structured data response with Amazon Bedrock: Prompt Engineering and Tool Use
aws.amazon.com·1d
🌀Brotli Internals
The Great Data Reimagination: From Static to Agile in the AI Era
thenewstack.io·1d
🔄Schema Evolution
Show HN: HomeDock OS – A self-hosted cloud OS, now with a Desktop app
github.com·1d·
Discuss: Hacker News
🔌Operating system internals
[$] Supporting kernel development with large language models
lwn.net·1d
💻Local LLMs
New rust mocking library Injectorpp 0.4.0 is released! Type check is added and more
reddit.com·4d·
Discuss: r/rust
🦀Rust Verification
A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning
arxiv.org·2d
⚛️Quantum Codes
Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning
arxiv.org·1d
🔒Privacy Preserving
ZFS in Virtualization: Storage Backend for the Pros
discoverbsd.com·1d
💿ZFS Internals
RecCoT: Enhancing Recommendation via Chain-of-Thought
arxiv.org·23h
🔍Information Retrieval
U-R-VEDA: Integrating UNET, Residual Links, Edge and Dual Attention, and Vision Transformer for Accurate Semantic Segmentation of CMRs
arxiv.org·23h
🌀Riemannian Computing
Unfolding the Past: A Comprehensive Deep Learning Approach to Analyzing Incunabula Pages
arxiv.org·3d
🤖Manuscript AI
Structuralist Approach to AI Literary Criticism: Leveraging Greimas Semiotic Square for Large Language Models
arxiv.org·23h
📜Digital Philology
🚀 Production-Ready: 6 Advanced Fixes for Your LLMService Class 🚀
dev.to·14h·
Discuss: DEV
💻Local LLMs
Practical and Accurate Local Edge Differentially Private Graph Algorithms
arxiv.org·23h
🗜️Graph Compression