Generating product SKUs with Claude
robinsloan.com·18h
🌀Brotli Internals
Poor man's bitemporal data system in SQLite and Clojure
evalapply.org·1d
🗄️Database Internals
Study finds AI tools made open source software developers 19 percent slower
arstechnica.com·13h·
Discuss: r/embedded, r/technews
📏Code Metrics
Integer Division in Bucketed Time Series
uvdn7.github.io·11h·
Discuss: Hacker News
📈Time Series
Karpenter - Protecting Batch Jobs from consolidation/disruption
reddit.com·4h·
Discuss: r/kubernetes
🌊Streaming Systems
Show HN: Notsc – A CLI to Scaffold Node.js and TypeScript API Projects
npmjs.com·1h·
Discuss: Hacker News
🎯Gradual Typing
A Real-Time Earthquake Monitoring Pipeline with Kafka, MySQL, PostgreSQL, and Grafana
dev.to·20h·
Discuss: DEV
🌊Apache Kafka
The Bayesian Approach to Continual Learning: An Overview
arxiv.org·5h
🧠Machine Learning
Build a Receipt Reader with Docuglean AI in Under 10 Minutes! 📜
dev.to·18h·
Discuss: DEV
🤖Archive Automation
AceMagic V1 Vista: Power Efficient Intel N150 Proxmox Server for Frigate NVR
michaelstinkerings.org·1d·
Discuss: Hacker News
🔌Operating system internals
Why Enterprises Trust ServiceNow Workflow Data Fabric
dev.to·2h·
Discuss: DEV
🌊Streaming Systems
WebAssembly binding for llama.cpp – Enabling on-browser LLM inference
github.com·2h·
Discuss: Hacker News
🧩WASM Modules
Ralph Wiggins as a "Software Engineer"
ghuntley.com·1d·
Discuss: Hacker News, Hacker News
🦀Rust Macros
15 Tiny Python Scripts to Supercharge Your Social Media Workflow
dev.to·22h·
Discuss: DEV
📡RSS Automation
S2SRec2: Set-to-Set Recommendation for Basket Completion with Recipe
arxiv.org·5h
🧭Content Discovery
Building SolSistr: Pitfalls and Lessons Learned
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Machine Learning Fundamentals: data augmentation tutorial
dev.to·2d·
Discuss: DEV
📊Feed Optimization
Show HN: Portia – A stateful Crew AI alternative, with auth and 1000 tools
github.com·17h·
Discuss: Hacker News
🎙️Whisper
Building Readable AI Agents: From Spaghetti Code to Human-Friendly Logic
dev.to·10h·
Discuss: DEV
🌳Incremental Parsing
What are the most effective practices, tools, and methodologies your Data & AI team follows to stay productive, aligned, and impactful? [D]
reddit.com·2d·
Discuss: r/MachineLearning
🔄Archival Workflows