Scaling data governance with Amazon DataZone: Covestro success story
aws.amazon.com·6d
🏛️Lakehouse Architecture
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11X Faster ScyllaDB Backup
scylladb.com·5d·
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🗄️Storage Tiering
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Everything You Need to Know About LLM Evaluation Metrics
machinelearningmastery.com·4h
📋Tokei
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An introduction to computer algebra (2018)
corywalker.me·1d·
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🔢NumPy
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I Chose to Focus on Data Systems Instead of Application Programming
alexnemethdata.com·5d·
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🔧Data Engineering
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How LLMs Cheat: Modifying Tests and Overloading Operators
enbao.me·6d·
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🔍AI Detection
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Patterns for Building a Scalable Multi-Agent System
devblogs.microsoft.com·2d·
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👁️Observability
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Microservices vs. Monoliths: Finding the Right Balance
dev.to·4d·
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☁️AWS Infrastructure
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dAttendance: An Agent-First Attendance Platform on Smart Postgres
dev.to·7h·
Discuss: DEV
💾Databases
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Repository Pattern in Golang: A Practical Guide
dev.to·3d·
Discuss: DEV
💾Databases
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Agentic Orchestrator with Tiger CLI
dev.to·7h·
Discuss: DEV
DataFusion
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A more native experience for Cloud TPUs with Ray on GKE
cloud.google.com·6d
📊Columnar Engines
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A Guide to the Best Java Machine Learning Libraries
dev.to·4d·
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🔍AI Detection
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Level Up Your SPA: Advanced Performance Optimization for Beginners
dev.to·1d·
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⏱️benchmarking
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Why Agentic AI Struggles in the Real World — and How to Fix It
dev.to·6d·
Discuss: DEV
🎮Reinforcement Learning
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Part 1: Spec-Driven Development - Building Predictable AI-Assisted Software
dev.to·6d·
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🌳Git
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Tech With Tim: I Let 3 AIs Compete to Build the Same App…
dev.to·1d·
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📋Tokei
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Tech With Tim: I Let 3 AIs Compete to Build the Same App…
dev.to·4d·
Discuss: DEV
📊Columnar Engines
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MCP was the wrong abstraction for AI agents
getateam.org·20h·
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DataFusion
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