Daniel Amireh

[Raul @RaulOnRails]

Rails now gets Active Search to ease integration with ElasticSearch or alternatives.

You can check it out, test it, use it, and give feedback at:
https://t.co/L3AoXLEjhX

#railsworld

[Obie Fernandez @obie]

Hey rubyists, here's the best way to play with these new decision models like JEV from @typesafeai

Full-featured, and future-proof. Introducing https://t.co/uBODOfdVjm

[Thariq @trq212]

We're adding support for AGENTS.md to Claude Code.

Starting today in version 2.1.277, if there is no CLAUDE.md in a folder, Claude will check for and use AGENTS.md.

You can toggle this behavior in /config.

[DevOps ToolBox @devopstoolbox]

Sad but necessary:

https://t.co/BKLkpUqTyx

[Carmine Paolino @paolino]

I've been releasing a lot of native apps, and packaging has always been a pain.

No more.

Native-packages natively packages your apps for Linux (deb, rpm, arch, apk, ipk, srpm), Windows (msix, inno), and macOS. Notarized too.

Spotifast and ZapFast are built with it!

https://t.co/NPeYuJaZdA

[Luke Berry @LukeberryPi]

introducing: JDD

Jealousy Driven Development

[Ruby on Rails @rails]

Agents on Rails: We ran 8 models against 21 atomic tasks to see which were best at writing Rails code. 3 runs each: a bug report, a security finding, a feature request.

The first benchmark report with findings is now live. So: what did we discover?

As of August 2026:
- Most accurate: @claudeai Opus 5 by @AnthropicAI (by a hair). Solved 92% of runs (58 of 63). (But for a little more than half the cost, you get almost the same accuracy with @Kimi_Moonshot.)
- Cheapest: @OpenAI GPT-5.6 Luna. 73% of runs solved at default medium reasoning effort, and all 63 of its runs cost 90 cents combined.
- Fastest: Luna again, at a median of 3.3 minutes per run task.
- Best combination of all three: @OpenAI GPT-5.6 Sol. 84% accuracy, costing $0.52 and 5 minutes per run.

Read all the findings in the first full benchmark report from @evilmartians here: https://t.co/SxyPPUwDJw

[Jason Fried @jasonfried]

We just published our internal 37signals Manager Playbook.

https://t.co/o4L62YlQOJ

Inside we share what’s expected of managers, team leadership philosophies of 37signals, our "Hell Yeah" standard, how to navigate difficult conversations, and how to balance management duties with core individual contributor work. Plus a whole lot more.

There are no "just managers" at 37signals, so the individual contributor bit is key.

Questions? Comments? Post 'em here and I'll do my best to make sense.

[Matt Carey is in SF 🦅 @mattzcarey]

Cloudflare OS shipped today. A home of work for your team. Ask, Make, Build, Run -> Share

https://t.co/ShaxD7fBiN

insane work by @KentonVarda @dcarter_js @akaphill and the team

[Armin Ronacher ⇌ @mitsuhiko]

Mandatory reading. https://t.co/C56NfM1VLY

[Josef Strzibny @strzibnyj]

Rails excels in token efficiency, predictability, and ecosystem ergonomics which makes it one of the best choice for robots as it once was for humans.

https://t.co/T2jrs0JORM

[DHH @dhh]

Learning Rails from a real production app is a great way to go — whether you're doing it for your own edification or pointing an agent at a high-quality code base for direction. Hope to see other contributions soon! https://t.co/MYXQE0XPyn

[Brian Scanlan @brian_scanlan]

@jessethanley @nateberkopec We’ve been automatically approving changes to tests and fully merging dependabot updates for years. Now we have agents approving safe PRs: https://t.co/kxahI4PoJv

Once you reframe it around safety, you can get a pretty high number of PRs fully approved.

[Stefano Zanella @stefano_zanella]

Today we’re officially releasing our second open-source project. It’s in early stages but we built the foundations to make it grow fast and adapt to the evolving AI ecosystem.
We’d love to see more people trying it out and giving us feedback. Go check it out and give it a ⭐️!

[Cengiz Gürtusgil @JangoCG]

I have so many Rails apps deployed with @dhh’s Kamal that I started losing track of what’s running where.

Kamal doesn’t include server stats, so I’m building Polaris: containers, resource usage, ports, logs, config, deploys, and rollbacks in one desktop UI.

[Cengiz Gürtusgil @JangoCG]

Kamal comes with APM metrics out of the box. no need to setup Sentry or Grafana

[shadcn @shadcn]

You have Claude Fable for only a few days. Here's how to make the most of it.

Introducing /improve: use your most capable model to audit your codebase and write plans for cheaper models to execute later.

Studies your code, figures out bugs, perf, tech debt, missing tests, what to build and writes plans any agent can run.

[Paras Chopra @paraschopra]

My favorite way of interacting with Claude Code is to have it generate static HTML files as outputs (reports, explorations, code structure, mockups etc.)

I wanted to iterate on the file by commenting in browser and having Claude update the output live.

So, I built this Claude Skill👇

How it works:
- Install Claude Code skill (ask it to clone repo)
- Build an HTML page for anything (e.g. research coding agents and generate HTML report)
- Ask it to make the page interactive

That's it. CC will launch a localhost server and allow you to then leave comments on the page itself and once it updates, will give you a tour of changes.

It's like Google Docs kind of comments/iteration but for HTML pages.

[Evil Martians @evilmartians]

PSA: There was a supply chain attack on TanStack. Some recommendations from our frontend principal @sitnikcode to protect your data:

1. Move to a package manager like pnpm 11, which has protection enabled by default.

2. If you can't switch to pnpm, enable ignore-scripts and minimumReleaseAge in your package manager.

3. Don't use pull_request_target. Use workflow_run instead.