AI Models Fail Miserably at This One Easy Task: Telling Time
spectrum.ieee.org·2h
💬Prompt Engineering
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Put a little Pixie in your cluster
bitfieldconsulting.com·6h
🔍eBPF
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Reinventing PostgreSQL for the Next Generation of Apps
thenewstack.io·1d·
Discuss: Hacker News, r/opensource
💰TigerBeetle
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I needed fast embedded storage. RocksDB wasn't it. So I built TidesDB
tidesdb.com·15h·
Discuss: Hacker News
📋Columnar Storage
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Show HN: Yansu, Serious Coding
twitter.com·2d·
Discuss: Hacker News
🌳Git
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Waterfall Methodology AI: The Smart Evolution of Traditional Project Management
writegenic.ai·1d·
Discuss: DEV
💬Prompt Engineering
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This Week in UnrealDev.nvim: Major Cache Overhaul & Smarter Builds!
github.com·1d·
Discuss: DEV
📝Neovim
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**Revolutionizing Fashion Design with Generative AI: The Cas
dev.to·23h·
Discuss: DEV
🎨Design Systems
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[D] Kosmos achieves 79.4% accuracy in 12-hour autonomous research sessions, but verification remains the bottleneck
reddit.com·2d·
Discuss: r/MachineLearning
🚀Performance
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Numerical boundary flux functions that give provable bounds for nonlinear initial boundary value problems with open boundaries
arxiv.org·1d
📐Linear Algebra
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Can LLMs subtract numbers?
arxiv.org·3d·
Discuss: Hacker News
📝Parsing
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.NET Digest #9
pvs-studio.com·2d·
Discuss: r/programming
🎯WASM Runtime
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Optional Is Not Optional in C++ (and Definitely Not a Pointer)
dev.to·2d·
Discuss: DEV
🦀Rust Lifetimes
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New to C, did a string interning library.
reddit.com·2d·
Discuss: r/C_Programming
⚙️Zig
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Building Your Coding Skills: Effective Ways to Practice and Improve by Software Engineering Professionals like Abhishek Desikan
dev.to·1d·
Discuss: DEV
📚Technical Writing
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Silent Performance Killer: N+1 Query Problem
dev.to·1d·
Discuss: DEV
🔍Query Optimization
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Eligify v1.4.0: We Made Your Rules Organized (And Auditable)
dev.to·23h·
Discuss: DEV
💰TigerBeetle
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TabGemma: Text-Based Tabular ICL via LLM using Continued Pretraining and Retrieval
arxiv.org·2d
🧮Vector Databases
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Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
arxiv.org·3d
🌳Tree-sitter
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Improving the Performance of Radiology Report De-identification with Large-Scale Training and Benchmarking Against Cloud Vendor Methods
arxiv.org·1d
🧠Machine Learning
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