Pairing with Claude Code to rebuild my startup's website
blog.nseldeib.com·12h·
Discuss: Hacker News
⚡Live Coding
We built an npx command that scaffolds full-stack apps (MERN, MEAN, MEVN, etc.) in just one command.
reddit.com·46m·
Discuss: r/reactjs
🚂Cranelift IR
The Future of Python: Trends and Uses in 2025
dev.to·19h·
Discuss: DEV
🎭Racket
RoboManipBaselines: A Unified Framework for Imitation Learning in Robotic Manipulation across Real and Simulated Environments
arxiv.org·2h
🎯99-Line Languages
A Note on the Theoretical Support to Compute Dimension in Abelian Codes
arxiv.org·2h
∫Mathematical DSLs
Tackling Review Fatigue by Document Driven Agentic Coding
chezo.uno·2d·
Discuss: Hacker News
🎮Language Ergonomics
structmap - a configurable, type-safe struct mapping generator
reddit.com·1d·
Discuss: r/golang
📋Tablegen
Improving Deep Tabular Learning
arxiv.org·2h
🌊Effect Rows
Follow-Your-Emoji-Faster: Towards Efficient, Fine-Controllable, and Expressive Freestyle Portrait Animation
arxiv.org·2h
⚡Tokenizer Optimization
Turk-LettuceDetect: A Hallucination Detection Models for Turkish RAG Applications
arxiv.org·2h
📊LR Parsing
Scaling Healthcare Data Processing: Multi-Environment FHIR Patient Updates with Smart Batch Processing
dev.to·54m·
Discuss: DEV
⚡Incremental Parsing
Geometric Mixture Classifier (GMC): A Discriminative Per-Class Mixture of Hyperplanes
arxiv.org·2h
🌱Minimal ML
Attention Consistency for LLMs Explanation
arxiv.org·2h
🔄Subinterpreters
Why I Chose Rust for My OSD600 Project (And What I Learned)
dev.to·3d·
Discuss: DEV
🚂Cranelift Backend
Synthetic bootstrapped pretraining
arxiv.org·1d
🌱Minimal ML
AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning
arxiv.org·2h
🪜Recursive Descent
Why I Deleted 10,000 Lines of Code and My Manager Promoted Me
dev.to·53m·
Discuss: DEV
📊Code Metrics
Complete Overview of Generative & Predictive AI for Application Security
dev.to·23h·
Discuss: DEV
🎭Program Synthesis
SouLLMate: An Application Enhancing Diverse Mental Health Support with Adaptive LLMs, Prompt Engineering, and RAG Techniques
arxiv.org·2h
📐Standard ML
Mastering Collections in C#
dev.to·2d·
Discuss: DEV
🔗Concatenative Languages