Pet theory: Compound foods confuse the gutbrain
tsvibt.blogspot.com·15h·
Discuss: Hacker News
🫙Fermentation
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How to Mount ConfigMaps and Secrets as Volumes in Kubernetes Using Eclipse Mosquitto
blog.devops.dev·4h
☸️Kubernetes
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Mojo: MLIR-Based Performance-Portable HPC Science Kernels on GPUs for the Python Ecosystem
arxiv.org·6h·
Discuss: Lobsters
📊Profile-Guided Optimization
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A new project aims to predict how quickly AI will progress
economist.com·21h·
Discuss: Hacker News
💬Prompt Engineering
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Instrumenting Vapor 4 with Swift OTel
blog.vapor.codes·1d·
Discuss: Hacker News
📊Performance Tools
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Building a Snow Day Predictor: Introducing the Snow Day Calculator 2025
onlinecalculators.shop·7h·
Discuss: DEV
⏱️Time Series Analysis
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How context engineering can save your company from AI vibe code overload: lessons from Qodo and Monday.com
venturebeat.com·21h·
Discuss: Hacker News
💬Prompt Engineering
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Memory in AI Companions: Implementing Vector-Based Long-Term User State
nsfwcoders.com·5h·
Discuss: DEV
🎨Creative Coding
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Conscious Debugging: 10 Effective Strategies That Actually Work 🐛
thetshaped.dev·2d·
Discuss: r/programming
🛡️Error Handling
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I built a Go template playground to stop the deploy-fail-repeat cycle.
reddit.com·6h·
Discuss: r/golang
🏗️Cranelift
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THE HOMELAB EXPERIENCE 1 : NAS AND DOCKER
github.com·10h·
Discuss: DEV
🏠Self-hosting
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How API-Driven Game Hubs Are Redefining Integration for Online Entertainment Platforms
dev.to·15h·
Discuss: DEV
🎨API Design
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Automated Design Optimization via Multi-Fidelity Surrogate Modeling of Neutrino Oscillation Parameters
dev.to·16h·
Discuss: DEV
📊Performance Tools
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From Ruby to Swift - Building a Maze Generation Framework
dev.to·1d·
Discuss: DEV
🔲Cellular Automata
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GPT-5.1 spotted: What is it like and when is it coming out
dev.to·1d·
Discuss: DEV
🔭Tracing
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Deep Learning-Driven Anomaly Detection in Wafer Surface Defect Classification
dev.to·17h·
Discuss: DEV
🔬Deep Learning
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INDEXING,HASHING & QUERY OPTIMIZATION IN SQL (EXAMPLE ON STUDENTS TABLE )
dev.to·5d·
Discuss: DEV
🗄️Database Internals
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On Text Simplification Metrics and General-Purpose LLMs for Accessible Health Information, and A Potential Architectural Advantage of The Instruction-Tuned LLM ...
arxiv.org·1d
📝Parsing
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Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability
arxiv.org·7h
🧮Embeddings
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An Empirical Study of Reasoning Steps in Thinking Code LLMs
arxiv.org·7h
🎭Program Synthesis
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