First Public Working Draft: Web of Things (WoT) Thing Description 2.0
w3.org·12h
🧱WASM Components
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How devtools map minified JS code back to your TypeScript source code
polarsignals.com·3h·
Discuss: Hacker News, r/javascript, r/node, r/reactjs
✨Format Preserving
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How to get a character from a codepoint in Spark SQL
prequel.co·3h·
Discuss: Hacker News
🔢Binary Formats
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From hours to seconds: AI tools to detect animal calls
seangoedecke.com·2d·
Discuss: Hacker News
💬Interactive REPLs
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Ranking LLMs based on 180k French votes (French government's AI arena)
comparia.beta.gouv.fr·5h·
Discuss: Hacker News
📈Earley Parsing
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C++ move semantics from scratch (2022)
cbarrete.com·1d·
Discuss: Lobsters, Hacker News
⚡Copy Elision
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Jeff Su: 4 Next-Level ChatGPT Techniques (Save 15+ Hours Weekly)
youtube.com·4h·
Discuss: DEV
⚡Live Coding
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When Five Dumb AIs Beat One Smart AI: The Case for Multi-Agent Systems
ksramalakshmi.medium.com·2d·
Discuss: r/LocalLLaMA
🔢Algebraic Datatypes
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Engineering a Rust optimization quiz
fasterthanli.me·3d·
Discuss: Hacker News
🦀MIR Optimization
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Automated Defect Prediction via Cross-Entropy Regularized Graph Neural Networks for Microservice Architectures
dev.to·17h·
Discuss: DEV
🗺️Region Inference
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Mastering std::variant for Type-Safe, Expressive Code
dev.to·2d·
Discuss: DEV
🎭Polymorphic Variants
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Show HN: Extrai – An open-source tool to fight LLM randomness in data extraction
github.com·23h·
Discuss: Hacker News
📋Tablegen
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Meta-Author's Notes: Codie's Cognitive Chronicles
dev.to·20h·
Discuss: DEV
💬Interactive REPLs
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esp-rs/esp-hal
github.com·16h
💪ARM64 Backend
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A Practical Guide to Building AI Agents With Java and Spring AI - Part 1 - Create an AI Agent
dev.to·5h·
Discuss: DEV
🎨Domain-Specific Languages
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Why agents DO NOT write most of our code - a reality check
dev.to·1d·
Discuss: DEV
🛡️Error Ergonomics
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On Improvisation and Open-Endedness: Insights for Experiential AI
arxiv.org·13h
🎭Program Synthesis
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Day 1 of building Secrin
dev.to·23h·
Discuss: DEV
📋JSON Parsing
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Inferring multiple helper Dafny assertions with LLMs
arxiv.org·13h
🔍ML Language
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Thought-For-Food: Reasoning Chain Induced Food Visual Question Answering
arxiv.org·13h
🌱Minimal Interpreters
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