OEM technology – callas’s best kept secret
pdfa.org·4h
🎮Language Ergonomics
Expert Session: MongoDB
mongodb.com·5h·
Discuss: DEV
🏠indieweb
Opti's Claude 4.5 Sonnet "vibe coding" report
stacker.news·1d
🔬Nanopasses
Flamed-TTS: Flow Matching Attention-Free Models for Efficient Generating and Dynamic Pacing Zero-shot Text-to-Speech
arxiv.org·19h
📊LR Parsing
How To Build Effective Technical Guardrails for AI Applications
towardsdatascience.com·5h
🛡️Security Type Systems
Is Odin Just a More Boring C?
dayvster.com·12h·
Discuss: Hacker News
🐹Go Internals
4 powerful n8n automations I can’t live without anymore
xda-developers.com·6h
🎮Language Ergonomics
Superbase on the Commodore 64
stonetools.ghost.io·10h·
Discuss: Hacker News
💾Minimal Databases
Bulk operations in Boost.Bloom
bannalia.blogspot.com·2d·
Discuss: r/cpp
🌸Bloom Indexing
Recent AI Experiences
lesswrong.com·3d
📝Rope Editors
Self-Hosted HDD Health Alerts using n8n and ntfy
noted.lol·4h
⚡Live Programming
How to Build Semantic Search in ASP.NET Core using PostgreSQL
dev.to·4h·
Discuss: DEV
🧠Semantic Parsing
Beyond the Prompt: A Developer's Playbook for Ethically Scaling B2B Content with GenAI
getmichaelai.com·1d·
Discuss: DEV
🎮Language Ergonomics
CPU Cache-Friendly Data Structures in Go: 10x Speed with Same Algorithm
skoredin.pro·17h·
Discuss: Hacker News
⚡Cache Optimization
News for September 2025
ptreview.sublinear.info·2d
🎲Property Testing
Progressive Bound Strengthening via Doubly Nonnegative Cutting Planes for Nonconvex Quadratic Programs
arxiv.org·19h
🧩Constraint Solvers
A high-performance Go client for the Gotenberg HTTP API with a fluent interface. Built using only the Go standard library (via http-client).
reddit.com·1d·
Discuss: r/golang
🐹Go Runtime
Python + EVM without the paper cuts: a senior playbook for fast, correct, and scalable reads
dev.to·2h·
Discuss: DEV
🌐Network Protocols
The Secret to Efficient RAG: A Step-by-Step Guide to Chunking and Counting Your Vectors
dev.to·4d·
Discuss: DEV
🚀Tokenizer Performance
DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding
arxiv.org·19h
🚀Tokenizer Performance