Balancing Cost, Power, and AI Performance
oreilly.com·3d
📊Columnar Engines
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[Tool] RE-Architect: Automated binary analysis with multiple decompilers + AI explanations
📋Tokei
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How to Use GPT-5 Effectively
towardsdatascience.com·1d
🗂️Obsidian
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Beyond Start and End: PostgreSQL Range Types
💾Databases
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Postgres Internals Hiding in Plain Sight
💾Databases
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Readable Code Is Unreadable
🔢NumPy
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Create a MCP server from scratch
🦀Rust Scientific
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SampCert: Verified Foundations for Differential Privacy (PLDI 2025)
🔐Privacy Engineering
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LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
arxiv.org·5d
🔄Feed Aggregation
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Comparing NestJS, Laravel, Symfony, and Zend Framework: Performance, Scalability, and Use Cases in Modern Web Development
⚡DataFusion
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[Project] UnisonDB: A log-native KV database that treats replication as a first-class concern
🏞️Delta Lake
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Designing Data-Intensive Applications [Book Review]-The Big Ideas Behind Reliable, Scalable and Maintainable Systems
🔧Data Engineering
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The True Cost of AI Integrations: Comparing Performance and Pricing Models for C# Libraries
📊Columnar Engines
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Automating MongoDB Atlas Cluster Discovery Across All Projects Using PowerShell
⚡DataFusion
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