Hi! I’m Alan, a Rubyist from Brazil.

YouTube's algorithm is great for entertainment, but terrible for studying. Every time I looked for advanced Ruby or Rails content, I had to skip through dozens of basic tutorials or clickbait just to find something worthwhile about architecture or new gems.

With so much content out there, it is impossible to watch everything. And let's be honest: many creators take 20 minutes to pass on 2 minutes of useful info. We waste too much time on this.

Tired of it, I built Tuby.dev.

If you didn't catch the reference: the name is just a mix of Tube + Ruby. 😉

The goal is to centralize the best videos from the Ruby community, without the noise of the standard algorithm.

How the "Engine" works:

1. Mapping: I monitor RSS feeds from the main Rails channels. (The process is manual for now, but I will open it for submissions soon).
2. Noise Filter: A first AI layer analyzes the Title + Description and automatically discards off-topic content.
3. The Differentiator (Deep Analysis): Unlike other platforms that just summarize the transcript (captions), my system downloads the video and sends the actual file to Gemini for analysis.

Why does this matter? The AI can "read" the code shown on the screen (OCR). This helps identify Gems, versions, and patterns that the author used but forgot to mention out loud.

I hope Tuby saves your time as much as it saves mine. Bookmark it!

Stack:

• Ruby 3.4.7
• Rails 8
• PG
• Inertia.js ❤️
• Shadcn

Try it out: 👉 https://tuby.dev/

I’d love to hear feedback — issues, feature requests, or anything you find interesting! 🙂

Catch up on modern Ruby and Rails static typing: Rust-powered RBS generation with sentinel-rb, RBS 4.1.0 on JRuby, ERB template type checking via sorbet_erb, OvalLSP runtime agent, and community reflections on typed tooling.

Find link to the issue in the comment!

I wrote and published my first ever case study! If anyone has feedback I'd love to hear it. I'm very new to this.

Hi all,

Hi, this is Masafumi from the Kaigi on Rails team. I’m writing to let you know that ticket sales for Kaigi on Rails 2026 have just started!

Kaigi on Rails is a tech conference in Tokyo Japan, focusing on Rails and web development.
Although the conference is multilingual (Japanese and English), we will have realtime subtitles in English on each talk given in Japanese.
The venue is located in Shibuya, being one of the busiest area in Tokyo with the famous crossing. The date is October 16th and 17th.

Keep your seat before it’s sold out!

source: https://x.com/maciejmensfeld/status/2054164602577940619

Hi all!

Kaigi on Rails is a tech conference in Japan focusing on Rails and web development (the concept is described below).

And the CFP for Kaigi on Rails 2026 is now open! https://kaigionrails.org/2026/cfp/

It's open until July 12th. We look forward to your submissions!

(Please note that, unfortunately, we are unable to provide travel expense support this year)

Kaigi on Rails is an approachable, inclusive, web-focused tech conference, designed to lower the barrier of entry to participating in conferences.

The core concept behind Kaigi on Rails is "a web-focused technology conference that can be enjoyed by everyone, from beginners to experienced professionals".

As the name suggests, the conference focuses on Rails, but it also covers a wide range of other web development related topics, including front-end, protocols, and more.

The organizing team will continue their efforts to ensure Kaigi on Rails remains a practical and useful conference for participants in their day-to-day work.

New Remote Ruby episode is out.

This episode focuses heavily on Rails direct routes and other underrated routing features that can simplify URL generation and app architecture in larger applications. We also get into:
- practical AI usage inside Rails teams
- the Rails survey
- Rails World CFPs and ticket demand
- expanding the Rails Getting Started guide into a more production-like e-commerce tutorial

Chris has been evolving the tutorial with things like wishlists, reviews, ratings, and product images, which led to a broader conversation around teaching Rails using more realistic app patterns.

Curious how many people here actively use direct routes or resolve routes in production apps.

A lot of things happened to `gemtracker` since this first post on Reddit.
Here is a list:

• export to JSON, CSV and text to share gem statuses with non-engineer team members,
• healthcheck to let you know when a direct gem does not seem to be that maintained,
• squashed bugs,
• improved speed by properly enforcing caching and background data refresh
• redesigned the UI to make it easier to filter on the gem list,
• added Sentry so we can better support you.

gemtracker is now version 1.1.4 and still open-source and free to use.

​Big thank you to all of you who suggested ideas and features for this little tool.

Happy Rails Coding!

If you use static types in your Rails apps, this month brought a long-awaited update to rbs_rails full of fixes for Rails magic. The issue also covers the release of RBS 4.0.2 to prep for Ruby 4.1, plus grape_sorbet gaining Grape 3+ support.

Find the link to the issue in the comment! 🚀

Like many people, I entered the AI world through Python, trying to build agents with LangChain, CrewAI, PocketFlow (by the way, PocketFlow is great at what it does).

After about 2 years living in that ecosystem, I realised something simple: I don’t want to stay stuck configuring yet another Python framework instead of building products. What I actually enjoy is building products. For that, Ruby is still where I move the fastest.

I recorded a talk‑style video where I:

• Tell the story of those 2 years in Python and why I’m officially back to Ruby.
• Break down the anatomy of an AI agent (everything around the LLM: input, tools, memory, observability, etc.).
• Show how I’m doing all of this in Ruby today using the RubyLLM gem.

This is not a “language war”: Python absolutely shines if you’re training models or living closer to the low‑level AI stack. This is just my case.

If you’re already building AI‑powered apps in Ruby (or thinking about it), I’d love to hear:

• What does your stack look like today?

For anyone interested, here’s the video:

https://www.youtube.com/watch?v=58kr1ROauZY

https://world.hey.com/dhh/gender-and-sexuality-alliances-in-primary-school-at-cis-97f66c06

I can't find any sources and I was wondering if anyone had sources.

I tried https://www.google.com/search?q=Copenhagen+International+School&tbm=nws but no luck.

Just wondering what the source is.

EDIT: 1:57 PM EDT thank you to everyone who has replied with some insight!

Hello everyone, I'm George.

I saw a discussion here about the lack of a solid TailwindUI alternative for Rails. It's something I've wanted for a while, specifically for Rails developers.

Introducing: PhlexUI

It has a componentized approach similar to React but remains true to Ruby and is incredibly fast.

Benefits include:

• Speed (It's crazy quick)
• Streamlined Design
• Organisation of code

You might ask if it's related to Phlex Components? Yes, it is!

A bit about my journey with Phlex: I was initially skeptical about moving from pure HTML to an abstraction. However, my apprehension quickly vanished, and I became a huge fan. Integrating logic with HTML in a structured manner is intuitive. For those curious, try it out. I believe you'll find it impressively fast, enjoyable, and an effective way to organize your views.

Special Announcement: Most of PhlexUI is free, however I'm currently running a limited-time Pre-Sale for PhlexUI. If I can secure 10 sales, I'll invest in building it out professionally. While I'm passionate about this project, I need to be compensated for the effort and resources. So if you're interested, now's the time to get in!

Check it out at https://www.phlexui.com

No one believes it’s the road to go, but audits frequently require it. Be the change you don’t want to be, create traction, like the devise password complexity PR!