📝 Parsing

Lexical Analysis, AST, Parser Combinators, Language Implementation

News for October 2025
ptreview.sublinear.info·1d
✅Property Testing
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Defining Types for a Simple HTTP Server
mmhaskell.com·2d
📐Type Theory
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The History of JavaScript
yourcodeweb.com·1h·
Discuss: DEV
🌐Web Development
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The AI ick
stackoverflow.blog·2h·
Discuss: Hacker News
🛡️AI Security
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Disassembling Terabytes of Random Data with Zig and Capstone to Prove a Point
jstrieb.github.io·9h·
Discuss: Lobsters, Hacker News, r/Zig, r/programming
🔓Binary Exploitation
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In a First, AI Models Analyze Language As Well As a Human Expert
quantamagazine.org·5d·
Discuss: Hacker News
📝NLP
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You're absolutely right! I added the argument parsing but forgot ...
reddit.com·2d·
Discuss: r/ClaudeAI
🎭Program Synthesis
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BondBERT: What we learn when assigning sentiment in the bond market
arxiv.org·14h
💰TigerBeetle
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LA-MARRVEL: A Knowledge-Grounded and Language-Aware LLM Reranker for AI-MARRVEL in Rare Disease Diagnosis
arxiv.org·14h
🚀MLOps
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How to Build a RAG Solution with Llama Index, ChromaDB, and Ollama
dev.to·12h·
Discuss: DEV
🔍RAG
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Prog8
github.com·1d·
Discuss: Hacker News
💾Retro Computing
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Autark: Rethinking build systems – Integrate, Don’t Outsource
dev.to·12h·
Discuss: DEV
🏗️Build Systems
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Beyond the Black Box: Making LLM Decoding Truly End-to-End
dev.to·5d·
Discuss: DEV
📝Parser Combinators
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Build an AI Summarizer Agent in TypeScript Using Mastra (Part 1)
dev.to·1d·
Discuss: DEV
🪟Tauri
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From raw text to training gold: How to collect and prepare data for custom LLMs
pub.towardsai.net·1h
💬Prompt Engineering
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Un-Attributability: Computing Novelty From Retrieval & Semantic Similarity
arxiv.org·2d
🔍RAG
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LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
arxiv.org·2d
🔍RAG
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ML Library Comparison: Burn vs Candle
reddit.com·5h·
Discuss: r/rust
🔥PyTorch
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When numbers lie: the Java equality bug every dev hits at least once
dev.to·17h·
Discuss: DEV
🏷️Memory Tagging
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Q-Sat AI: Machine Learning-Based Decision Support for Data Saturation in Qualitative Studies
arxiv.org·14h
🧠Machine Learning
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