Educational Compiler, ML Implementation, Minimal Design, Functional Backend

A better future for JavaScript that won’t happen
jmason.ie·25m
💬Smalltalk VMs
Muon for Improved Foundation Model Pretraining Data Efficiency
building.nubank.com·1d
📋JSON Parsing
ElevenLabs is the best text-to-speech AI system
engineering.kablamo.com.au·1d·
Discuss: Hacker News
🔄Incremental Tokenizers
A Dumb Introduction to z3. Exploring the world of constraint solvers with very simple examples.
asibahi.github.io·2d·
🧩Constraint Solvers
SevenDB : a reactive and scalable database
reddit.com·12h·
Discuss: r/programming
💾Minimal Databases
AI Unlocks the Fusion Key: Simplifying the Quest for Limitless Energy
dev.to·4h·
Discuss: DEV
🌪️V8 TurboFan
Which AI coding assistant is best for building complex software projects from scratch, especially for non-full-time coders?
reddit.com·18h·
Discuss: r/devops
🔍Comby
i've spent the last 18 months building this - thought you guys might be interested
reddit.com·1d·
🎓Educational Compilers
How Exploring Multiple Programming Languages Elevates Your Coding Skills
dev.to·1d·
Discuss: DEV
🎮Language Ergonomics
Arguzz: Testing zkVMs for Soundness and Completeness Bugs
arxiv.org·1d
🧪Testing Compilers
Qualitative Research in an Era of AI: A Pragmatic Approach to Data Analysis, Workflow, and Computation
arxiv.org·7h
🏺Code Archeology
Enhancing Radiographic Disease Detection with MetaCheX, a Context-Aware Multimodal Model
arxiv.org·7h
Effect Inference
BIGNet: Pretrained Graph Neural Network for Embedding Semantic, Spatial, and Topological Data in BIM Models
arxiv.org·1d
🧠Semantic Parsing
Automated Test Generation with Custom Claude Commands: Architecting Scalable Testing for Modern Node.js Applications
dev.to·1d·
Discuss: DEV
🎲Test Generators
M4GN: Mesh-based Multi-segment Hierarchical Graph Network for Dynamic Simulations
arxiv.org·1d
📋JSON Parsing
Publishing to PyPI: My ML Preprocessing Package for Newbies
dev.to·1d·
Discuss: DEV
🔍ML Language
AI and Deep Learning Accelerators Beyond GPUs: A Practical Overview
dev.to·1h·
Discuss: DEV
🗺️Region Inference
CoVariance Filters and Neural Networks over Hilbert Spaces
arxiv.org·7h
🔢Algebraic Datatypes