🥑 Avro

Schema Evolution, Binary Format, Apache Kafka, Data Serialization

Top Tech News Today, November 13, 2025
techstartups.com·13h
📱Edge AI
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Bcachefs Rolls Out Metadata Version Reconcile "rebalance_v2" Feature
phoronix.com·8h
💿SPDK
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Reactorcore's Revshare System
reactorcoregames.github.io·1h·
Discuss: Hacker News
💼Thrift
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Bring Confidence to Complex Data Migrations with Snapshot Testing
spin.atomicobject.com·13h·
Discuss: Hacker News
🧪Testing
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Embulk into the Maintenance Mode
embulk.org·23h·
Discuss: Hacker News
📦Nix Flakes
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Template Interpreters
zackoverflow.dev·2d·
Discuss: Lobsters, Hacker News
🔨Compiler Design
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AI Failure Examples That Showed Us How to Build an AI Agent
netguru.com·13h·
Discuss: Hacker News
🦙Ollama
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Building a Production RAG System for Resume Search: What Actually Worked (and What Didn't)
dev.to·1d·
Discuss: DEV
🗄️Database Internals
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TiDAR: Think in Diffusion, Talk in Autoregression
arxiv.org·21h
🌀Naiad
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Designing Data-Intensive Applications — Chapter 2: Data Models and Query Languages
dev.to·2d·
Discuss: DEV
🗄️Database Internals
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Computability of the Optimizer for Rate Distortion Functions
arxiv.org·21h
📊Information Theory
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Building SynTour: How Spec-Driven Development with Kiro Revolutionized Our Tourism Platform
dev.to·22h·
Discuss: DEV
🔧DevOps
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Navigating the Ethics of AI: Lessons from 2025
dev.to·1d·
Discuss: DEV
🔒Security
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Show HN: SQL++ – 5x faster than Prisma (Rust)
github.com·1d·
Discuss: Hacker News
🔥DataFusion
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Writing Your First Compiler - Part 7: Taking Stock
dev.to·48m·
Discuss: DEV
🏭Code Generation
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How to Build Production-Ready RAG Systems (at Scale, with Low Latency & High Accuracy)
dev.to·3d·
Discuss: DEV
🔥DataFusion
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A Practical Guide to Building AI Agents with Java and Spring AI - Part 2 - Add Memory
dev.to·2d·
Discuss: DEV
🛡️Memory Safety
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How I Built Symphony.js: Turning Bugs Into Music With Kiro
dev.to·5h·
Discuss: DEV
🌈Nannou
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Day 1: Building SpeakSheet – An AI-Powered Excel Generator (NextJS + Gemini + Python)
dev.to·1d·
Discuss: DEV
🐍Python
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From Semantic Roles to Opinion Roles: SRL Data Extraction for Multi-Task and Transfer Learning in Low-Resource ORL
arxiv.org·1d
🍱Nom
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