Top Tweets for #rubyOnRails
When the edge is not yours, you have to rate limit from inside the application to maintain quality of service. Rails 8 finally brings this functionality out of the box so you can stop relying on Varnish for everything. 💡⚡
👉 https://t.co/8qPVr7qYKl
#Rails #RubyOnRails #WebDev #Backend
【フルスタック開発】
少数精鋭チームにて、Rubyを用いたモダンなシステム開発をご担当いただきます。
フロントエンドからバックエンド、AWSやGCPといったクラウド環境まで幅広く携わっていただきます。
詳細はDMにて
#エンジニア募集 #フルスタックエンジニア #Ruby #RubyonRails #AWS #GCP #スクラム開発 #IT案件
今回の記事でも #RubyOnRails の開発の流れについて紹介しています💡
https://t.co/AslwE2cIs8
一覧・新規作成・参照・更新・削除の画面機能追加についてまとめています💻
#CRUD の流れを押さえたい方におすすめです👀
今日も一日お疲れ様でした☕️
#企業公式がお疲れ様を言い合う
#エンジニア
We're getting more contributions to the JetUI project, and that makes me happy!
Version 0.2.8 is coming: We're adding NPM package so Vite apps can register JetUI's stimulus controllers same way IM apps already does.
#ruby #rails #rubyonrails #buildinpublic #devtools #jetrockets
Rails 8 introduced Solid Queue — background jobs powered by database, no Redis required. Simpler deployments, lower costs, same performance. #RubyOnRails #Rails8 #SolidQueue #ActiveJob #WebDev #BackendDevelopment #Ruby https://t.co/7ivG2zwPEQ
9日（火）19時からオンラインもくもく会を開催するのでお気軽にご参加ください〜！
毎週Ruby, Railsもくもく会 #303 オンライン 駆け出しエンジニアも歓迎！ https://t.co/x5lYw5BntS #毎週RubyRails #rubyonrails #ruby
Me: I'll just try deploying a Rails app on a Pi with Kamal. Maybe write it up.
Also me: 3 Rails apps and a running service on my LAN later, the writeup is 40% done and that's being generous.
#RubyOnRails #Kamal #RaspberryPi #ADHD #ScopeCreep
RAG gives models memory.
Training gives them their nature.
And when context becomes incomplete, the scorpion returns.
My latest thoughts on local AI, Ruby, and why RAG isn't a magic solution.
https://t.co/6Pl1RNZKA4
#ruby #ai #ollama #rubyonrails
今回の記事では #RubyOnRails の開発の流れについて紹介しています💡
https://t.co/1vPzrvYzi7
#Bootstrap 導入の流れを初学者向けにまとめています💻
UIづくりの第一歩、気になる方はぜひ👀
今日も一日お疲れ様でした☕️
#企業公式がお疲れ様を言い合う
#エンジニア
847 PRs. 90 days. AI reviewing every single one.
23% of flags were things humans genuinely wouldn't have caught.
18% were just wrong.
The honest breakdown of what an AI code review bot actually does:
👉 https://t.co/fey6KzYElm
#Ruby #RubyOnRails #AI #CodeReview
Ruby events this week 🧵
🤖 Generated automatically by RubyEventsBot using ruby-libgd.
Updated every 7 days.
#Ruby #RubyEvents #RubyLanguage #RubyOnRails
Episode #565 - Custom Turbo Stream Action Animation
#ruby #rubyonrails #programming #code #javascript #turbo
https://t.co/LGnazIeyDd
@neerajjj6785 #Ruby
#Rails
#RubyOnRails
#RubyOnJekyll
#VSCode editor
#RSpec .. hard to learn,
priceless to use, easpecially on sophisticated site.
jet_ui v0.2.7 is out 🎉
- `jet_ui:eject --help` now lists all available components — always accurate, derived directly from the source.
- Generator tests added.
- Ruby bumped to `v4.0.5`.
https://t.co/FQVUzeaUTi
#ruby #rails #rubyonrails #buildinpublic #devtools #jetrockets
Today’s video is a love letter to some CSRF tech that Rails got late last year. #RubyOnRails
Rails 8's Solid Cache lets you ditch Redis for database-backed caching — bigger caches, lower costs, simpler infrastructure. Here's how to set it up and when it makes sense for your app. #Rails8 #RubyOnRails #SolidCache #WebDev #BackendDevelopment #RailsDevelopment #Caching #DevOps https://t.co/Tmb33GfHGH
Recordings from the latest PLRUG meetup are now available on the YouTube channel.
Enjoy listening! 🙌
https://t.co/pbTo70iVE4
https://t.co/90Tcxro2Hg
#rubyonrails #engineering
#LLMs for coding face the same skepticism as #ORMs for #SQL did in 2010. 😏
Seriously, go back 15 years on the Wayback Machine and you’ll see endless arguments and flame wars about how it was just “crazy” to expect the #Django or #RubyOnRails Object-Relational Mappers (ORM) to generate optimal SQL migrations and queries! 🧐
People would write long essays on the importance of understanding and hand-tuning every line of SQL in your codebase! Though, I can’t recall the last time that was important for teams outside of Big Tech—in which case, such scaling concerns are typically handled for you by the custom, internal infrastructure/frameworks you use at those companies. 🤓
And while it’s true that startups like @instagram and @YouVersion eventually had to worry about such scaling problems, a sea successful startups with less traffic sailed to success solely on backs of these frameworks! 🤩
Additionally, what we’re quick to dismiss as vibe-coded, “AI slop” is usually at least 80% right from the start, follows best practices if prompted half-decently, and always remembers the important accessibility features that humans forget. 😅
While LLMs are incapable of truly understanding the code they generate, they’re remarkably good “power tools” that expedite the tedium of typing, and allow us to deliver more finished features per month to our users than before—and that’s really all that matters. 😁
📖『ChatGPTクローン開発で学ぶモダンAIアプリケーション構築 Ruby on Rails篇』
吉田智哉 著／インプレス NextPublishing
https://t.co/EolrJ0SEYu
#RubyOnRails #Rails #生成AI #電子書籍
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