New Blog post: Rails parallel tests were causing Ruby to segfault on macOS - inside pg, GSS/Kerberos, and macOS XPC. The fix? One line in database.yml. I wrote up the debugging journey 👇 sarojmaharjan.com/blog/rails…

Launching #IronRuby 4. Ruby is back on .NET. github.com/Largo/ironruby (cc @yukihiro_matz)

To your friends in an identity crisis, remind them of the importance of keeping at least a small part of them to stay free. Or if you're in an identity crisis of your own, be a friend to yourself with this same advice. everyonewantsprogress.com/01…

You are right but it also feels short-sighted? You have the most powerful tool you ever had, you have become a 1000x maker, and you can't think of how to make your stack 10x better? Yes, Rust is fast, the type system catches bugs, but there is so much beyond it. * Why not make Ruby 10x faster? * Why not make Ruby (and therefore Rails) really great at concurrency? * Why not add a banging type system to Ruby that can provide guarantees beyond Rust? * Why not embed SQLite3 into Rails with a replication protocol so you can really compress the stack beyond a single server? * How to preemptively fix most bugs from the most critical parts of Rails, such as database pools? Yes, who cares about ActiveSearch, but there are so many ways we can fundamentally improve our stacks that go beyond asking the agent to just crap out code. Phoenix is still the only framework that ships with presence, because it turns out it is deceptively a hard problem to solve correctly, but somehow all issues are solved? I understand some folks have no interest in doing any of the above, and that's fine, but then at least pass the baton to the people who want to do exactly that. PS: I say all of this with love ❤️

Didn't realize you can just try Omarchy on macOS github.com/omacom/try-omarch…

‼️ BREAKING: Internal OpenAI agents attacked RubyGems, the package manager for Ruby. Over 2,000 malicious packages went up in two days. OpenAI says it doesn't know why the agents did any of this. RubyGems shut off new sign-ups for four days to stop it, and a member of its security team called it a major malicious attack. The documentation build was how they got in, publish a gem, request docs, and RubyDoc runs a script from the package while building it. Payload files were named hack.rb, evil.rb and exploit.rb, with comments like "# malicious probe" left in. What they used it for is the odd part. The agents scraped council meeting agendas from three south London boroughs (publicly available) and republished them as new gems. Security firms tracking the campaign said the same thing: nobody could work out the point, because the data was already public. At least six packages also reached for other users' API keys through a CDN caching flaw that wasn't publicly discovered until July. OpenAI has acknowledged the attacks started in May.

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A deep analysis of what may have lead to the Nepal glacial collapse and a breakdown of how the flood overtook communities in a matter if minutes. #Nepal #flood #weather

For International donors: pmdrf.nchl.com.np/ The gateway is live now. Cards are supported.

Rasuwa Flood Knocks 431 MW Offline: Full List of Affected Hydropower Projects (Updated) laganisaathi.com/blog/hydrop…

⁉️ CALL FOR HELP ⁉️ Yesterday, a district in Nepal was hit by devastating floods. The visuals from the ground are terrifying. Families have lost their homes, belongings, and livelihoods, and many are in urgent need of help. I’m asking you to please donate whatever you can to help the families affected by this disaster. Donation link in reply 🙏 (Retweets appreciated to reach more people) VC: @CNN

Git at Scale (by cursor) has been one of the most interesting blog posts i've read in a while. It came right when I was frustrated with Shopify's internal git system. As an exercise, I've implemented it over the weekend as open source. It's a single rust binary that you can point at any S3 type object store. It uses WAL and CAS primitives and requires no other data store. It also implements bundle-uri so large git repos (like our mono) are very fast to download as a chain of static bundles. Also comes with basic familiar UX. github.com/tobi/walgit

🔐 AI security agents uncovered 105 vulnerabilities across 34 Ruby projects, including a Nokogiri memory bug dating back to 2009. How agentic scanning found, reproduced, and helped validate bugs across the Ruby ecosystem. #Ruby depthfirst.com/research/behi…

LLM just casually assigned authorship of @paolino’s excellent ruby_llm gem to @andrewkane Any polished Ruby gem that works well must be another Kane special, right?

🧩 DeepSeek Harness v0.1 is now available in Developer Preview! 🔹 We’re opening it up to developers building agent harnesses worldwide and open-sourcing the codebase in MIT license. 🔹 Powered by the Cordis meta-framework, DeepSeek Harness is an agent harness built around one core idea: Everything is a plugin. Models, tools, skills, sessions, sandboxes, filesystems, loops, orchestration, and UI are ALL implemented as plugins, and can be mixed, matched, replaced, and extended. Try it now! github.com/deepseek-ai/deeps…

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: rubyonrails.org/2026/8/13/ag…