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Building a better testing experience for Workflows, our durable execution engine for multi-step applications
blog.cloudflare.comยท20h
๐Ÿ”„Tokio
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How Does the Internet Work? TCP/IP, DNS & Network Infrastructure Explained
the-ultimate-gadget-guide.blogspot.comยท1d
๐Ÿš€QUIC Protocol
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How Datadog Built a Custom Database to Ingest Billions of Metrics Per Second
blog.bytebytego.comยท19h
๐Ÿ‘๏ธObservability
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Disciplined Biconvex Programming
arxiv.orgยท1d
โ™ŸChess Programming
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Automating error analysis for AI agents โ€“ what works and doesn't
atla-ai.comยท23hยท
Discuss: Hacker News
๐Ÿ’ฌNatural Language Processing
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UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
paperium.netยท2dยท
Discuss: DEV
๐Ÿ“ŠEmbeddings
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BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring
arxiv.orgยท5h
๐Ÿ’ฌNatural Language Processing
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Production-Grade Python Logging Made Easier with Loguru
dev.toยท1hยท
Discuss: DEV
๐Ÿ‘๏ธObservability
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Optimizing Multi-UAV 3D Deployment for Energy-Efficient Sensing over Uneven Terrains
arxiv.orgยท5h
๐ŸŒEdge Computing
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How multi-agent collaboration is redefining real-world problem solving
infoworld.comยท1h
๐Ÿ”—Distributed Systems
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r/mathematics
reddit.comยท20hยท
Discuss: r/mathematics
โ™ŸChess Programming
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Algorithmic Complexity Reduction via Quantized State Space Search
dev.toยท16hยท
Discuss: DEV
๐ŸŽฏBitboards
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The Next Frontier in NLP: Smarter Agents, Not Just Bigger Models
pub.towardsai.netยท5h
๐Ÿ’ฌNatural Language Processing
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Autark: Rethinking build systems โ€“ Integrate, Donโ€™t Outsource
dev.toยท3hยท
Discuss: DEV
๐ŸŒWebAssembly
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Patterns for Defensive Programming in Rust
corrode.devยท3dยท
โšกAsync Traits
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Semantic search with embeddings in JavaScript: a hands-on example using LangChain and Ollama
dev.toยท2dยท
Discuss: DEV
๐Ÿ“ŠEmbeddings
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Cyclic Proofs for iGL via Corecursion
arxiv.orgยท5h
โ™ŸChess Programming
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Cells, Queries, and Chaos: The Game of Life in SQL!
dev.toยท2dยท
Discuss: DEV
๐ŸŽฏBitboards
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7 Proven Core Web Vitals Optimization Patterns That Boost Performance and User Experience
dev.toยท1dยท
Discuss: DEV
๐ŸŒWebAssembly
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Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
arxiv.orgยท5h
๐Ÿค–Machine Learning
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