The Most Critical Linux Kernel Breaches of 2025 So Far
linuxjournal.com·10h
🔬BPF
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just use rustup
kivikakk.ee·23h
🔵Clojure
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HTB: Dump
0xdf.gitlab.io·17h
🔬BPF
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PAINT25 Invited Talk transcript: “Notational Freedom via Self-Raising Diagrams”
programmingmadecomplicated.wordpress.com·14h
🔮Lisp Macros
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The Hidden Challenges Startups Face with Cloud Infrastructure (From a DevOps Engineer’s Perspective)
linkedin.com·8h·
Discuss: DEV
🔵Blue-Green Deployment
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Fast, Scalable LDA in C++ with Stochastic Variational Inference
github.com·1d·
Discuss: r/cpp
🤖Scikit-learn
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New comment by GuB-42 in "Some software bloat is OK"
news.ycombinator.com·6h·
Discuss: Hacker News
🐛Fuzz Testing
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What is vibe coding? AI writes the code so developers can think big
infoworld.com·18h
👀Code Reviews
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An end-to-end multilingual framework for intelligent analysis of risk influence factors in ship grounding accidents
sciencedirect.com·11h
🛡️Safety Systems
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The Real State of Helm Chart Reliability (2025): Hidden Risks in 100+ Open‑Source Charts
dev.to·7h·
Discuss: DEV
🔵Blue-Green Deployment
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Unlock clearer Rust dependency insight with dep-insight
dev.to·4h·
Discuss: DEV
📦Cabal
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Diagnosing Hallucination Risk in AI Surgical Decision-Support: A Sequential Framework for Sequential Validation
arxiv.org·22h
📈ROC Curves
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Showcase: In Memoria - Rust core with TypeScript/NAPI interface for high-performance AI tooling
reddit.com·11h·
Discuss: r/rust
📦Cabal
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I Stopped Writing Tests and My Code Got Better
dev.to·19h·
Discuss: DEV
🔴Test-Driven Development
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Interpretable Machine Learning for Reservoir Water Temperatures in the U.S. Red River Basin of the South
arxiv.org·22h
📈forecasting
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Common Challenges in Canary Testing and How to Overcome Them
dev.to·16h·
Discuss: DEV
🐤Canary Deployment
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Kahn’s Algorithm and Cycle Detection in Directed Graphs
dev.to·22h·
Discuss: DEV
🚫Branch-Free Programming
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7 Essential Java Kafka Techniques for Building Reliable Event-Driven Systems That Scale
dev.to·1d·
Discuss: DEV
Circuit Breakers
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Engineering.ai: A Platform for Teams of AI Engineers in Computational Design
arxiv.org·22h
🔗Systems Thinking
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Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model
arxiv.org·22h
⛓️MCMC
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