How Race Conditions Can Break Your System?
linkedin.com·5h·
Discuss: DEV
🏗️Design Patterns
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Mastering Concurrency in Go: Goroutines, Channels, and Patterns
djamware.com·22h·
Discuss: DEV
💻programming
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There is no truthy or falsy in Rust
joschuba.com·1d
λFunctional Programming
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How to check if a .onion is alive or dead (with Hidden Service Descriptors)
discuss.privacyguides.net·16h
💻programming
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Think DSP second edition
allendowney.com·1d
🔄Dynamic Programming
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Building Real-Time ML Feature Pipelines with Streaming SQL
timeplus.com·16h·
Discuss: Hacker News
⏱️Computational Complexity
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A Short Survey of Compiler Backends
abhinavsarkar.net·22h·
Discuss: Lobsters, Hacker News, r/programming
λFunctional Programming
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Gateway API Benchmark Part 2: New versions, new implementations, and new tests
reddit.com·16h·
Discuss: r/kubernetes
🗺️Graph Algorithms
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Supercharging the ML and AI Development Experience at Netflix
netflixtechblog.com·1d
🔬Static Analysis
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ZkML Breakthrough: 13B Models Verified in 15 Minutes
lightcapai.medium.com·3d·
Discuss: Hacker News
🔄Dynamic Programming
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Tackling the Kidnapped Robot Problem via Sparse Feasible Hypothesis Sampling and Reliable Batched Multi-Stage Inference
arxiv.org·2d
🔄Dynamic Programming
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100 Techniques for Writing Readable Rust Code
reddit.com·1d·
Discuss: r/rust
🔬Static Analysis
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Biological Regulatory Network Inference through Circular Causal Structure Learning
arxiv.org·1d
🕸️Graph Theory
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From Zero to AI Agent: How I Built Codexa in 24 Hours with Mastra and Telex.im
github.com·2d·
Discuss: DEV
💻programming
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🌀 Brent's Algorithm Explained – Faster Cycle Detection for Beginners
dev.to·4d·
Discuss: DEV
🔄Dynamic Programming
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Are 3 Signs the AI Revolution Is Going Local?
dev.to·15h·
Discuss: DEV
🏗️Design Patterns
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Probing Knowledge Holes in Unlearned LLMs
arxiv.org·2d
💣Binary Exploitation
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Design of quasi phase matching crystal based on differential gray wolf algorithm
arxiv.org·2d
🎨Computer Graphics
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Building MeridianDB: Solving AI's Memory Crisis with Multi-Dimensional RAG
dev.to·1d·
Discuss: DEV
⏱️Computational Complexity
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Chaos-inspired active learning for physics-informed neural networks to assess the reliability of multi-state systems
sciencedirect.com·18h
🔢Numerical Methods
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