Identity Management, Rust Auth, LDAP Alternative, WebAuthn

Dangers in Your Gemfile
fastruby.io·20h·
Discuss: Hacker News
🏷️Memory Tagging
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Analyzing a NPM Spam Campaign: The Great Indonesian Tea Theft
endorlabs.com·12h·
Discuss: Hacker News
🔎Quickwit
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Any-Depth Alignment: Unlocking Innate Safety Alignment of LLMs to Any-Depth
paperium.net·1d·
Discuss: DEV
🛡️AI Security
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Mixture-of-Experts explained with PyTorch implementation
lightcapai.medium.com·20h·
Discuss: Hacker News
🔥PyTorch
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How the PolyBlocks AI Compiler Works
docs.polymagelabs.com·22h·
Discuss: Hacker News
🌐SIMD.js
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Show HN: AI-built tools with security by default
news.ycombinator.com·15h·
Discuss: Hacker News
🛡️AI Security
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🐬 MySQL — The Complete Guide for Developers (2025 Edition)
dev.mysql.com·1d·
Discuss: DEV
🗄️Database Internals
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Efficient Hyperdimensional Computing with Modular Composite Representations
arxiv.org·3h
🧮Vector Databases
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How to Choose Right Test Management Platform
dev.to·2h·
Discuss: DEV
🧪Testing
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Setting up Linagora’s OpenRAG locally
dev.to·1d·
Discuss: DEV
🦙Ollama
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WRITE-UP N1CTF 2025
dev.to·2d·
Discuss: DEV
🔒Security
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Build a Frontend for your Microsoft Agent Framework Agents with AG-UI
dev.to·17h·
Discuss: DEV
🦙Ollama
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I wrote a "from first principles" guide to building an HTTP/1.1 client in Rust (and C/C++/Python) to compare performance and safety
reddit.com·3d·
Discuss: r/rust
🦀Rust
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🚀 Building My First Full-Stack Todo App with React + Supabase ⚛️
dev.to·19h·
Discuss: DEV
🌐Web Development
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apk-info: a full-featured apk parser
reddit.com·1d·
Discuss: r/rust
🔍Tantivy
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Show HN: KV Marketplace – share LLM attention caches across GPUs like memcached
github.com·1d·
Discuss: DEV, Hacker News
🎨WGPU
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Sharing My Little Experiment: Code Genie – A Simple Open-Source Tool to Help with Code Ideas
github.com·16h·
Discuss: DEV
🎭Program Synthesis
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DevOps Engineer to Cloud Architect
dev.to·1h·
Discuss: DEV
☁️Cloud Computing
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Help Me Build the Future: Test My AI Developer Kit (Free Product Inside)
syntax-sprite-studio.lovable.app·9h·
Discuss: DEV
FastAPI
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FAIRPLAI: A Human-in-the-Loop Approach to Fair and Private Machine Learning
arxiv.org·1d
📈Differential Dataflow
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