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Ruby on Rails scales from PROMPT to IPO. Token-efficient code that's easy for agents to write and beautiful for humans to review.
rubyonrails.org Joined April 2007
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Ruby on Rails Verified account @rails
This Week in Rails is out!

There were many updates to the framework this week. Here are a few:
- Rails 8.0.5.2 and 8.1.4.1 were released to address 21 security issues, so upgrade if you haven't already.
- You can now rotate your master key without downtime, because RAILS_MASTER_KEY accepts several comma-separated keys and Rails tries each until one works.
- PostgreSQL null byte errors are now wrapped in ActiveRecord::NullByteError instead of a generic ArgumentError to make invalid inputs easier to handle. If you rescue ArgumentError around queries for this, you will need to update that code.
- A series of fixes makes default_order apply correctly in preloading and eager loading, and keeps it out of counts, aggregates and collection cache keys where it caused invalid SQL.

There's a lot more to read about, so check this week's wrap-up here: rubyonrails.org/2026/11/6/this…
4 replies 12 reposts 80 likes 6.5K views View on X
Ruby on Rails Verified account @rails
How does @Donorbox handle serious traffic without overcomplicating its stack?

On the next episode of On Rails, Hussain Akram & @acdesouza (AC) talk to @robbyrussell about the power of deliberately boring infrastructure, why the team moved CI back onto developers' machines, and how they're pulling older parts of the app back toward Rails defaults. They also talk about how they use agent docs to steer AI tools toward the patterns they want the codebase to follow.

Listen to the full episode wherever you get your podcasts: podcast.rubyonrails.org/2462975/episod…
Or watch it on Youtube: youtu.be/3Y42uiA4tdE
3 replies 1 reposts 24 likes 4.7K views View on X
Ruby on Rails Verified account @rails
Agents on Rails update: Muse Wonder and Gemini 4 Argon have now been tested.

- @Meta Muse Wonder (xhigh) had only a 46.6% success rate, landing in the bottom half of the results.
- @GeminiApp Gemini 4 Argon (high) is now in the top 4 performers with a 60.6% success, but it is slower than OpenAI models.

Both models landed on the expensive end of the charts, and it's worth noting that Gemini 4 Argon was even run at a 50% discounted rate (which ends in December).

GPT-6.1 Sol is still the best bang for your buck.

Check out the results at: rubyonrails.org/ai
11 replies 12 reposts 113 likes 10K views View on X
Ruby on Rails Verified account @rails
Agents on Rails is back with Stage 3!

We put the best-performing models to the test with 7 new multi-step tasks, each spanning 3–8 tickets. From building Rails apps from scratch to navigating existing (and at times messy) legacy codebases, we wanted to see how well agents handle the kind of work developers actually face: going back and building on their own work.

Some highlights:
- Best overall: @OpenAI GPT-6.1 Sol offers a strong balance of accuracy, speed, and cost (60.8% success, $0.80 & 23m 35s per run)
- Most accurate: @AnthropicAI Opus 5.5 at max effort (65.3%, but it is also the most expensive and amongst the slowest)
- Fastest: @OpenAI GPT-6 Astra at medium effort (16m 36s, 54% success). Astra's max effort is also fast (22m 36s, 62.3% success).
- Cheapest: @OpenAI GPT-6 Luna ($0.19/run, 43.5% success)

We also combined all tasks from all stages into one central leaderboard.

Read the full Stage 3 report from @evilmartians here: rubyonrails.org/2026/10/13/age…