Type Systems, Compiler Theory, Syntax Evolution, Memory Models, Syntax Creation, Parser Design, Domain Languages, Programming Paradigms

Opinion: Apple’s translating AirPods won’t work without state’s language grads
mercurynews.com·1d
📼Cassette Linguistics
A Hands-On Review of Conductor, an AI Parallel Runner App
thenewstack.io·22h
🖥️Modern Terminals
Experiments With Sonnet 4.5's Fiction
lesswrong.com·21h·
Discuss: Hacker News
🔗Concatenative Languages
Show HN: AI Finance App for Sale – $19,999 Negotiable(SaaS, Ready-to-Deploy)
sideprojectors.com·1h·
Discuss: Hacker News
🎬WebCodecs
The Pain Driven Workflow
magistr.me·2d·
Discuss: Hacker News
Incremental Computation
TypeScript Flaws (2024)
intercaetera.com·5d·
Discuss: Hacker News
🎯Gradual Typing
Unveiling the Power of Queues: A Journey into Data Structures and Algorithms
dev.to·3d·
Discuss: DEV
Cache Theory
Probing Social Identity Bias in Chinese LLMs with Gendered Pronouns and Social Groups
arxiv.org·3d
🇨🇳Chinese Computing
Building Self-Correcting Database Agents with Meta's Llama-4-Scout: From Natural Language to SQL Insights
dev.to·2d·
Discuss: DEV
🗄️Database Internals
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·20h·
Discuss: DEV
📊Multi-vector RAG
Show HN: I built a local AI agent desk toy
blog.simone.computer·3d·
Discuss: Hacker News
🎙️Whisper
Fast, Declarative Open Graph Image Generation in Python
dev.to·10h·
Discuss: DEV
📸PNG Optimization
Chronological Thinking in Full-Duplex Spoken Dialogue Language Models
arxiv.org·4d
⏱️Interval Parsing
Complete Guide to Audio Processing in Python: From Spectrograms to Real-Time Applications
dev.to·23h·
Discuss: DEV
📊Spectral Analysis
Memgoose – An In-Memory Mongoose Impersonator
github.com·1d·
Discuss: Hacker News
🔄Sync Engine
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
🎵Audio ML
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG
AI-assisted software engineering
dev.to·3d·
Discuss: DEV
Effectful Programming
Self-Improving LLM Agents at Test-Time
arxiv.org·2d
🧠Intelligence Compression