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⚙️ Parser Generators

ANTLR, Yacc, Grammar Tools, Language Workbenches

Image Rotation: Mutable Arrays in Haskell
mmhaskell.com·6h
λLambda Encodings
tmux and gist and trying to make students happier
jpmens.net·1d
📺Terminal UI
Programming After AI: Why System Boundary Taste Matters
interjectedfuture.com·1h
🕹Emulation Theory
Codeminer42 Dev Weekly #70
blog.codeminer42.com·2d
🔄Reproducible Builds
Making a StringBuffer in C, and questioning my sanity
briandouglas.ie·6d·
Discuss: Hacker News, r/programming
🧠Lisp Dialects
SFrame Support Beginning To Materialize For LLVM/Clang
phoronix.com·1d
🔗Static Linking
The Tool for Shopee Multi-Site Operations
news.ycombinator.com·5h·
Discuss: Hacker News
🔄Sync Engine
Optimising DeepSeek-R1-Distill-Qwen-7B for use in production
fin.ai·2d·
Discuss: Hacker News
📊Quantization
Deploying Jozu On-Premise: Architecture & Workflow Overview
dev.to·1h·
Discuss: DEV
🏠Homelab Orchestration
🔎 Step-by-Step Guide to Building a Deep Search AI with DuckDuckGo & OpenRouter 🤖
dev.to·1d·
Discuss: DEV
🔍BitFunnel
Built My Own Coding Website From Scratch (Just 29 Days In!)
dev.to·10h·
Discuss: DEV
🔗Concatenative Languages
Usage Rules: Leveling the Playing Field for AI-Assisted Development
zachdaniel.dev·2d·
Discuss: Hacker News
⚡Proof Automation
Moonshot's Kimi K2 Is a Hefty Contender to Claude, GPT-4 & Even Gemini
hackernoon.com·13h
🎬WebCodecs
How a 12% Tax Rule Becomes Code: Grammar, Law, and Machine Execution
dev.to·5d·
Discuss: DEV
📝Concrete Syntax
Advancing Retrieval-Augmented Generation for Structured Enterprise and Internal Data
arxiv.org·4d
🔍Information Retrieval
Stop Drowning in Contract Jargon, Let AI Tame Your Legal Workflow
dev.to·1h·
Discuss: DEV
⚔️Lean Tactics
PrefPalette: Personalized Preference Modeling with Latent Attributes
arxiv.org·11h
🎛️Feed Filtering
Graph-Structured Data Analysis of Component Failure in Autonomous Cargo Ships Based on Feature Fusion
arxiv.org·11h
🧠Machine Learning
Generative AI-Driven High-Fidelity Human Motion Simulation
arxiv.org·11h
🧠Neural Codecs
Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis
arxiv.org·4d
🧮Kolmogorov Complexity
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