⚡ Fusion Laws

Stream Fusion, Deforestation, Foldr/Build, GHC Rewrite Rules

A very short, very blunt, book note
logicmatters.net·1d
🔗Concatenative Theory
Valuable news 10-06
discoverbsd.com·16h
🌱Forth Kernels
Claude Code uses WebFetch vs. WebSearch (observations, schemas, prompts)
mikhail.io·1d·
Discuss: Hacker News
💬Interactive REPLs
GPT-5-Codex is a better AI researcher than me
seangoedecke.com·1d·
Discuss: Hacker News
🌱Minimal ML
Simplify Your JavaScript Code with Logical Assignment Techniques
reddit.com·10h·
Discuss: r/javascript
🔧Nickel
Want to get building production-ready AI agents? Here’s where startups should start.
cloud.google.com·9h
🎭Program Synthesis
You don't need an AI agent framework, or why frameworks are the new Juicero
konvu.com·9h·
Discuss: Hacker News
🔮Metacircular Evaluators
Ubuntu Blog: OpenStack cloud – happy 15th anniversary!
ubuntu.com·23h
🌱Forth Kernels
Part-114: 🚀Implementing Cluster Auto-scaler in Google Kubernetes Engine (GKE)kubect
dev.to·2h·
Discuss: DEV
🔗Redis Protocols
Day 1 Internship Report
dev.to·1d·
Discuss: DEV
🗄️Database Engines
TAI #173: OpenAI’s DevDay Deluge: Sora 2, AgentKit, and an App Store Reboot
pub.towardsai.net·15h
🎭Program Synthesis
Concatenate observation with received messages
dev.to·21h·
Discuss: DEV
📡Erlang
Generating Realistic Fake Data in Java with Quarkus, DataFaker & EasyRandom
dev.to·12h·
Discuss: DEV
📝Rope Editors
PsycholexTherapy: Simulating Reasoning in Psychotherapy with Small Language Models in Persian
arxiv.org·1d
🔍ML Language
Unified Unsupervised Anomaly Detection via Matching Cost Filtering
arxiv.org·1d
✨Effect Inference
4 Major Types of API Architectural Styles
dev.to·1d·
Discuss: DEV
🔧API Design
Your-Deployments-Are-Stuck-in-the-Past-The-Lost-Art-of-the-Hot-Restart
dev.to·3h·
Discuss: DEV
📡Erlang BEAM
Evaluating LLM Safety Across Child Development Stages: A Simulated Agent Approach
arxiv.org·2h
🎨Domain-Specific Languages
The Outbox Pattern: A Love Letter to Eventual Consistency
dev.to·1d·
Discuss: DEV
📮Message Queues
MSF-SER: Enriching Acoustic Modeling with Multi-Granularity Semantics for Speech Emotion Recognition
arxiv.org·2h
🔤Language Tokenizers