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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.

136 902Followers
41Following
1 820Posts total
88.5KViews on collected posts

Последние посты

@rails @OpenAI Thank you @evilmartians for upping the difficulty ✌️ 303 views · 5 likes · 0 reposts · 1 replies Open on X →
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
This Week in Rails logo with text: alt text for Action Text, cleaner language stats, and a smoother Docker boot.
6.8K views · 49 likes · 4 reposts · 0 replies Open on X →
@rails @OpenAI Time for Deepseek 4.1 flash. 445 views · 3 likes · 0 reposts · 0 replies Open on X →
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 21.6K views · 89 likes · 16 reposts · 0 replies Open on X →
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
Rails World logo with profile photo of Kinsey Durham Grace and text: Speaker announcement. Kinsey Durham Grace. Copilot Coding Agent Engineering, GitHub.
4.5K views · 24 likes · 1 reposts · 2 replies Open on X →
@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 →
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
Agents on Rails Stage 2 leaderboard showing the results of asking models to ship features in a Rails app. GPT-Astra is in the number one spot as of September 9 2026.
49.6K views · 175 likes · 24 reposts · 12 replies Open on X →
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
Rails World logo with profile photo of Mike Dalessio and text: Speaker Announcement. Mike Dalessio. Rubyist, gummi-bear lover, and open-source maintainer, 37signals.
4.5K views · 44 likes · 3 reposts · 2 replies Open on X →

На фоне аккаунтов своего размера

8 постов за последние 90 дней рядом с диапазоном 100K–1M подписчиков. показывается широко, но откликается мало кто.

Медианные просмотры4 505этот аккаунт6 342медиана для 100K–1M
Охват, %3.29%этот аккаунт1.82%медиана для 100K–1M
Вовлечённость, %0.73%этот аккаунт1.13%медиана для 100K–1M
ПоказательЭтот аккаунтМедиана для 100K–1MОтношение
Медианные просмотры на пост4 5056 3420.71×
Охват (просмотры ÷ подписчики)3.29%1.82%1.81×
Вовлечённость0.73%1.13%0.64×

Другие в этом диапазоне →   Сравнить с другим аккаунтом →   Как считаются эти ориентиры →

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
21.6K
44511 Sep
6.8K
30312 Sep

Last 8 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
0.49%
0.67%11 Sep
0.78%
1.98%12 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.13%.

What the audience does

Likes71.6%395 in total
Reposts8.7%48 in total
Replies3.4%19 in total
Bookmarks16.3%90 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.

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