Why Ruby is quietly winning in the AI era: insane token efficiency that actually saves you $$ + cleaner, more maintainable code. My take on why I'm betting on Ruby for AI-powered development in 2025 →
https://t.co/cb0kvq7Oce"
Ruby 4.0 just dropped, celebrating 30 years with serious structural upgrades!
New Ruby::Box for isolated namespaces, ZJIT compiler, and matured Ractors for better concurrency.
Matz's gift keeps evolving beautifully ✨ Great deep dive: https://t.co/EaUDEFR32U
Dive into simulating C-style pointers in Ruby! 🚀 This guide breaks it down with clear examples. Perfect for devs curious about low-level concepts in a high-level language. 📷 #Ruby#Programming https://t.co/2LwxJ2WrpI
Why software devs might outlast us all! 🤖📷 Check out this insightful take on their role in an AI-driven future. #Tech#AI#SoftwareDevelopment https://t.co/6scC7jFE6M
Master Ruby regex with this in-depth guide! Learn advanced pattern matching & text processing techniques. 🚀 #Ruby#Regex#Programming https://t.co/EpEBOiF52E
Deep dive into Ruby’s object-oriented core: learn how classes, objects and instance methods work together to build clear, modular code 👩💻🧩
{ author: @daviducolo } #DEVCommunity#Ruby
https://t.co/WLMxZh1T6z
Ruby developers: explore training your own LLM with Ruby. Dive into the ecosystem, tools, and real-world challenges.
{ author: @daviducolo } #DEVCommunity
https://t.co/Khd0IRnoZe
Train your own LLM with Ruby. Explore the process, tools, and challenges of using Ruby for machine learning.
{ author: @daviducolo } #DEVCommunity#Ruby
https://t.co/EglYnf1Enx
Krep v0.3.5 is out! Added ARM NEON SIMD acceleration for blazing-fast searches, optimized short pattern search, and NEON feature detection. Updated algorithm selection and docs. Check it out: https://t.co/xUvA5jHAtn
👀 Try out this Ruby script that shows which GitHub users you follow aren't following you back. Simple and practical.
{ author: @daviducolo } #DEVCommunity#Ruby
https://t.co/RkE3VBveIf
Explore the MCP pattern in Ruby as an alternative to MVC. Organize domain logic using models, contexts, and protocols for clearer code.
{ author: @daviducolo } #DEVCommunity#Ruby
https://t.co/aDLeeODhIO
Check out this cool article on GitHub follower analysis! It helps you discover one-way connections. Worth a read if you're into coding or networking. https://t.co/RN3wYanFJ6
Check out this great overview of Reinforcement Learning by Lilian Weng – a clear and insightful intro to RL concepts and methods! https://t.co/urI1jG4Ohz
Discover Hyll: a Ruby gem implementing HyperLogLog for efficient count-distinct estimation. Low memory, high accuracy for big data. Supports merging & more! https://t.co/mUb2caZaRn
Check out VSort: a high-performance sorting library optimized for Apple Silicon! Leveraging ARM NEON, GCD, and adaptive algorithms, it excels on M-series chips, especially for large or nearly sorted data. https://t.co/Pxdnw2jGlW #VSort#AppleSilicon
Building a Ruby gem with CLI and network tools – a walk-through of secure messaging and device discovery implementation.
{ author: @daviducolo } #DEVCommunity#Ruby
https://t.co/S6tXZW0WSx