Ruby on Rails ✓

@rails · joined 01 Apr 2007

Ruby on Rails scales from PROMPT to IPO. Token-efficient code that's easy for agents to write and beautiful for humans to review.

137 157Followers

41Following

1 842Posts total

158KViews on collected posts

Posts recentes

Ruby on Rails ✓@rails24 Sep

Rails Version 8.1.4 has been released! https://t.co/jXb1gUKKrh 9.3K views · 127 likes · 18 reposts · 16 replies Open on X →

Ruby on Rails ✓@rails24 Sep

DHH opened #RailsWorld 2026 in Austin with a keynote on the age of AI agents: why 37signals has gone "pencils down" on handwritten code, why Rails' convention over configuration is built for this moment, and why the only play left is total optimism. https://t.co/NRRZzJYbBG https:

14.1K views · 161 likes · 26 reposts · 7 replies Open on X →

Ruby on Rails ✓@rails23 Sep

Hi everyone! We know about the audio and are working to fix it, thank you! 6.3K views · 49 likes · 2 reposts · 5 replies Open on X →

Ruby on Rails ✓@rails23 Sep

The #RailsWorld livestream is live and we'll kick off in 15 minutes. Tune in here: https://t.co/s8PAwd7gkK 18K views · 70 likes · 15 reposts · 10 replies Open on X →

Ruby on Rails ✓@rails12 Sep

@rails @OpenAI Thank you @evilmartians for upping the difficulty ✌️ 303 views · 5 likes · 0 reposts · 1 replies Open on X →

Ruby on Rails ✓@rails11 Sep

This Week in Rails is out. Updates include: - Action Text attachments now support an alt attribute, independent of caption, for better screen-reader accessibility - Generated error pages excluded from GitHub language stats, so new Rails apps are detected as Ruby not HTML - Fixed

6.8K views · 49 likes · 4 reposts · 0 replies Open on X →

Ruby on Rails ✓@rails11 Sep

@rails @OpenAI Time for Deepseek 4.1 flash. 445 views · 3 likes · 0 reposts · 0 replies Open on X →

Ruby on Rails ✓@rails10 Sep

For those who can't make it to Austin: Tune in live to watch the Rails World 2026 Opening Keynote where @dhh will share what's new in Rails, what's coming up, and where Rails is headed in the future. Join from wherever you are in the world: 9:30 AM - Austin 7:30 AM - Pacific 43.4K views · 103 likes · 18 reposts · 3 replies Open on X →

Ruby on Rails ✓@rails10 Sep

When an AI agent writes code in your repo, your codebase becomes the context window. @KinseyAnnDurham brings lessons from building @github Copilot to #RailsWorld including why messy conventions lead to worse agent output, and a practical playbook for making Rails apps easier for

4.5K views · 24 likes · 1 reposts · 2 replies Open on X →

Ruby on Rails ✓@rails9 Sep

@rails @OpenAI why you test some of them in medium and some at high? and some at max? Either use the default one for all or the max for all. For eg: Muse Spark 1.3 on medium and on xhigh is night and day difference 755 views · 6 likes · 0 reposts · 2 replies Open on X →

Ruby on Rails ✓@rails9 Sep

Agents on Rails: Stage 2 is live. We wanted to find out: can you hand a model a real feature ticket and trust what comes back? The jump from atomic tasks to feature requests has interesting results… @OpenAI GPT-6 Astra is new to the leaderboard, and it came out on top: 35% of

49.6K views · 175 likes · 24 reposts · 12 replies Open on X →

Ruby on Rails ✓@rails9 Sep

Markdown has become the common rich text format for both AI agents and humans alike. If you want your Rails app to be more agent-accessible, @flavorjones of @37signals is at #RailsWorld to walk through new Rails features that let Action Text emit and accept Markdown directly, htt

4.5K views · 44 likes · 3 reposts · 2 replies Open on X →

Em comparação com contas do mesmo porte

12 posts dos últimos 90 dias, ao lado da faixa de 100K–1M seguidores. aparece para mais gente do que contas do mesmo porte.

Mediana de visualizações6 520esta conta5 983mediana para 100K–1M

Alcance, %4.75%esta conta1.49%mediana para 100K–1M

Engajamento, %0.85%esta conta0.93%mediana para 100K–1M

Métrica	Esta conta	Mediana para 100K–1M	Proporção
Mediana de visualizações por post	6 520	5 983	1.09×
Alcance (visualizações ÷ seguidores)	4.75%	1.49%	3.19×
Taxa de engajamento	0.85%	0.93%	0.91×

Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

4.5K9 Sep

49.6K

755

4.5K10 Sep

43.4K

44511 Sep

6.8K

30312 Sep

18K23 Sep

6.3K

14.1K24 Sep

9.3K

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.08%9 Sep

0.43%

1.06%

0.60%10 Sep

0.29%

0.67%11 Sep

0.78%

1.98%12 Sep

0.54%23 Sep

0.91%

1.42%24 Sep

1.79%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes70.2%816 in total

Reposts9.5%111 in total

Replies5.2%60 in total

Quotes1.6%19 in total

Bookmarks13.5%157 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Posts recentes

Em comparação com contas do mesmo porte

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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