📊 Pratt Parsers

Precedence Climbing, Operator Precedence, Top-Down Parsing, Expression Parsing

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
arxiv.org·15h
🔍ML Language
Let's Write a Macro in Rust
hackeryarn.com·3h·
Discuss: Hacker News
🦀Rust Macros
Cactus Language • Semantics 3
inquiryintoinquiry.com·3h
📋Backus-Naur Form
Show HN: Realization Jsmn on a Pure Zig
github.com·9h·
Discuss: Hacker News
📋JSON Parsing
LINQ and Learning to Be Declarative
nickstambaugh.dev·1d·
Discuss: Hacker News
📋Datalog
I built a translator for spatial thinking (because I can't interview in Python)
graemefawcett.ca·9m·
Discuss: Hacker News
🎮Language Ergonomics
Slip – A Lisp System in JavaScript
lisperator.net·5h·
Discuss: Hacker News
🌱Minimal Lisps
Assuring Agent Safety Evaluations By Analysing Transcripts
lesswrong.com·9h
✨Effect Inference
Experimenting with ACL2 and Claude Code
mikedodds.org·7h·
Discuss: Hacker News
💬Interactive REPLs
In-Depth Analysis: "Attention Is All You Need"
dev.to·4h·
Discuss: DEV
🌱Minimal ML
Homomorphism Problems in Graph Databases and Automatic Structures
arxiv.org·15h
🔗Unification Algorithms
Python 3.14 brings template string literals, free-threading, and stdlib subinterpreters
alternativeto.net·1d
⚡Incremental Parsing
RND1: Simple, Scalable AR-to-Diffusion Conversion
radicalnumerics.ai·23h·
Discuss: Hacker News
🔬Nanopasses
Building a BPE Tokenizer from scratch - optimizations & experiments
reddit.com·2d·
Discuss: r/LocalLLaMA
🎓Teaching Compilers
Writing regex is pure joy. You can't convince me otherwise.
triangulatedexistence.mataroa.blog·17h·
Discuss: Hacker News, r/programming
📝Rope Editors
Zippers: Making Functional "Updates" Efficient (2010)
goodmath.org·1d·
Discuss: Hacker News, r/programming
🤐Zipper Structures
LangChain.js is overrated; Build your AI agent with a simple fetch call
blog.logrocket.com·1d
🚂Cranelift Backend
Building MediBot: Integrating Django and Foundational NLP for Real-Time Medical Support Prototypes
future.forem.com·22h·
Discuss: DEV
🔄Subinterpreters
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
arxiv.org·1d
🪜Recursive Descent
Defeating Return Type Polymorphism
philipphagenlocher.de·1d·
Discuss: Hacker News
📏Linear Haskell