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Vladimir Dementyev
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Vladimir Dementyev

@palkan_tula
Building web products and dev tools with @EvilMartians 👽 Powering up real-time web apps with @any_cable 🔌
Seattle, United States
sfruby.com
Joined July 2016
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    Vladimir Dementyev
    @palkan_tula
    Dec 30, 2025
    The Layered Rails book v2 is out! Grab it from Amzn (fastest): amazon.com/Layered-Design… Or from Packt: packtpub.com/en-us/product/… Happy New Year 🎄!
    Layered Design for Ruby on Rails Applications: Discover practical design patterns and modern...
    From amazon.com
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    Vladimir Dementyev
    @palkan_tula
    3h
    One thing is to drop a bunch of MDs and pray that your agent will follow the constraints, but having a static analysis tool to truly enforce them is totally different. P.S A new release of layered-rails skills comes with archspec setup workflow: github.com/palkan/skills/…
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    Carmine Paolino
    @paolino
    17h
    More and more code is written by AI. How do you know it follows your architecture? Today I released ArchSpec 1.0: executable architecture specifications for Ruby and Rails. It checked Discourse's 1,899 files in 2.5 seconds! Static analysis, no AI. paolino.me/archspec/
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    Vladimir Dementyev
    @palkan_tula
    Aug 19
    Learn what slows down your Rails app boot time with a new profiler—require-profiler! Powered by require-hooks (and more), it brings HD visibility into the Rails boot process:
    Get in, human: cut Rails boot time with require-profiler and this guide—Martian Chronicles, Evil...
    From evilmartians.com
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    Vladimir Dementyev
    @palkan_tula
    Aug 13
    Check out what we're cooking with @rails Foundation 🤖 🛤️
    user avatar
    Ruby on Rails
    @rails
    Aug 13
    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
    Agents on Rails. Which model does best? August 2026. Snapshot stats of 8 models, showing: percentage of accuracy, number of runs solved out of 63, cost, recall percentage, number of steps, and minutes per run. Claude Opus 5 is listed first based on 92% accuracy.
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    Vladimir Dementyev
    @palkan_tula
    Aug 11
    Finally, we have a comprehensive writeup on the fairness problem* for background jobs in (typically, multi-tenant) Rails applications: evilmartians.com/chronicles/fai… P.S. AKA “faqueue problem”: github.com/palkan/faqueue
    Fair by design: orchestrating background jobs in Ruby—Martian Chronicles, Evil Martians’ team blog
    From evilmartians.com
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