SaaS, PaaS, and IaaS: A Comprehensive Guide to Cloud Service Models
saaslyai.com·1d·
Discuss: DEV
☁️Cloud Computing
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Loosely, yet Tightly Coupled
hacklewayne.com·1d·
Discuss: Hacker News
💎Refinement Types
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The Quiet Power of SQL
blog.sturdystatistics.com·17h·
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🦆DuckDB
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Human or Machine? Low-Latency Audio Detection of Humans at Scale
nooks.ai·15h·
Discuss: Hacker News
🚀Performance
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When Reverse Proxies Surprise You: Hard Lessons from Operating at Scale
infoq.com·23h·
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☁️Cloudflare Workers
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Show HN: YAML Validator –A simple Docker-based YAML checker
news.ycombinator.com·15h·
Discuss: Hacker News
📚Rkyv
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Tiny Docker Healthcheck Tools That Cut Image Size by Megabytes
github.com·1h·
Discuss: Hacker News
🚀Shuttle
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MySQL COUNT Scalar Subquery Optimization: The Complete Guide
dev.to·10h·
Discuss: DEV
🔍Query Optimization
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Writing Your First Compiler - Part 7: Taking Stock
dev.to·11h·
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🏭Code Generation
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Scale AI Open Sourced Agentex
github.com·1d·
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🚀Actix
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Top 5 AI Observability Platforms in 2025
dev.to·21h·
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🔍DTrace
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Tech With Tim: Finally, an AI Database That Actually Makes Sense
dev.to·11h·
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💰TigerBeetle
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TruthfulRAG: Resolving Factual-level Conflicts in Retrieval-Augmented Generation with Knowledge Graphs
arxiv.org·8h
🔍RAG
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Omnidirectional type inference for ML: principality any way
arxiv.org·8h
🎯Hindley-Milner
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Show HN: Autogenerate efficient backward kernels for Triton
github.com·3d·
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🌀Naiad
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Organizing Code, Experiments, and Research for Kaggle Competitions
towardsdatascience.com·23h
🔧DevOps
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This Is Probably the Most Lightweight Alternative Technology to Logical Data Warehouses
dev.to·2d·
Discuss: DEV
ClickHouse
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TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training
arxiv.org·8h
🌀Naiad
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Maximizing Efficiency of Dataset Compression for Machine Learning Potentials With Information Theory
arxiv.org·8h
📊Information Theory
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I Trained 4 AI Tools on My Work. Now They Remember Everything I Forget.
dev.to·1d·
Discuss: DEV
💬Prompt Engineering
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