Show HN: Yansu, Serious Coding
twitter.com·2d·
Discuss: Hacker News
🔢Coding Theory
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Storybook 10
storybook.js.org·1d·
Discuss: Hacker News
🎯Gradual Typing
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A Security Model for Systemd
lwn.net·2d·
Discuss: Lobsters, Hacker News
🛡️eBPF Security
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Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·3d·
Discuss: Hacker News
🧠Machine Learning
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The Ghost in the Machine Is Finally Allowed to See: A Beginner's Guide to MCP
danielkliewer.com·2d·
Discuss: Hacker News
🔌Interface Evolution
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Context Engineering 2.0: The Context of Context Engineering
arxiviq.substack.com·1d·
Discuss: Substack
🗺️Competency Maps
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How to Use GPT-5 Effectively
towardsdatascience.com·21h
🎙️Whisper
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DialectGen: Benchmarking and Improving Dialect Robustness in MultimodalGeneration
dev.to·10h·
Discuss: DEV
🗣️CMU Pronouncing
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Show HN: Suites – modern unit tests framework for TypeScript back ends
github.com·3d·
Discuss: Hacker News
⚙️WASM Runtime
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A Criminology of Machines
arxiv.org·2d
🔲Cellular Automata
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Show HN: Refusal-Aware Logical Framework for LLMs
github.com·3d·
Discuss: Hacker News
📏Linear Logic
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From DevOps to Developer Advocacy: Finding My Path in the Age of AI
dev.to·1d·
Discuss: DEV
🔄Language Evolution
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Writing an LLM from scratch, part 26 – evaluating the fine-tuned model
gilesthomas.com·4d·
Discuss: Hacker News
💻Local LLMs
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ScaleCall - Agentic Tool Calling at Scale for Fintech: Challenges, Methods, and Deployment Insights
arxiv.org·4d
🌀Brotli Internals
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pygixml — The Fastest XML Parser for Python (Beating lxml at Its Own Game)
dev.to·1d·
Discuss: DEV
🏷XML
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Tech With Tim: 3 Unique Python Features You NEED To Know
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
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TDS Newsletter: The Theory and Practice of Using AI Effectively
towardsdatascience.com·1d
⚡Proof Automation
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Tech With Tim: Learn Fast API With This ONE Project
dev.to·16h·
Discuss: DEV
🎬WebCodecs
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The Dublin Protocol Manifesto
dev.to·1d·
Discuss: DEV
🔲Cellular Automata
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Noise Injection: Improving Out-of-Distribution Generalization for Limited Size Datasets
arxiv.org·1d
🧠Machine Learning
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