The Ruby and Rails Infrastructure team at Shopify exists to help ensure that Ruby and Rails are 100-year tools that will continue to merit being our toolchain of choice.
Visit railsatscale.com → RSS feedOn Hacker News Jun 2023 – Sep 2025
Software Engineering 13Systems & Performance 9Tools & Productivity 2Programming Languages 1AI & Machine Learning 1
At Shopify, we have spent the last year writing a new Ruby parser, which we’ve called YARP (Yet Another Ruby Parser). As of the date of this post, YARP can parse a semantically equivalent syntax tree to Ruby 3.3 on every Ruby file in Shopify’s main codebase, GitHub’s main codebase, CRuby, and the 100 most popular gems…
Can we have a faster FFI for CRuby? Yes.
Many Ruby applications allocate objects. What if we could make allocating objects six times faster? We can! Read on to learn more!
This year, the YJIT team and I have gotten a paper accepted at MPLR 2023 (Managed Programming Languages and Runtimes), which is now freely available through ACM open access. The paper, titled “Evaluating YJIT’s Performance in a Production Context: A Pragmatic Approach”, goes into details of the strategy taken to…
In this blog post, we will delve into the major enhancements introduced in Ruby 3.3’s IRB, as well as what’s currently planned for the next year.
This year, the YJIT team has been working hard to improve and optimize YJIT. We’re proud to say that the version of YJIT to be included with Ruby 3.3 is leaps and bounds ahead of Ruby 3.2’s. It provides better performance across the board, while also warming up faster and using less memory. The 3.3 release is also…
Ruby’s garbage collector is designed to be adaptable, scaling from short Ruby scripts to running apps that serve millions of requests per second. While it’s designed to be adaptable, it may not work optimally for every use case. For this reason, Ruby’s garbage collector supports many parameters that can be used to…
Ruby 3.2 YJIT has optimized the production workloads of Shopify and other companies. We encourage you to enable YJIT in production. Once Ruby 3.3 is released, it should make your application even faster.
In this post we look at the impact of a new feature of Ruby 3.4 on Shopify’s monolith.
YJIT’s ability to improve performance by adapting to run-time behavior can increase the speed of our code in a way that dropping down to C can’t. As such, I think we should reconsider the common wisdom that “rewriting our Ruby in C” is the ideal path to performance optimization and take a serious look at “rewriting…
AI coding tools are dissolving the language barriers that once defined our careers. As someone who coded exclusively in Ruby for a decade, I’m now contributing to low-level system projects I couldn’t have touched before. Here’s how AI coding agents enabled my leap from Ruby to C, C++, and Rust.
Where does JIT-compiled code live? How does Ruby switch between bytecode and native execution? Why does TracePoint slow everything down? This post answers the JIT questions most Ruby developers have but rarely see explained.
In the first half of 2024, Ruby LSP has seen significant enhancements, particularly in the area of code navigation, thanks to the advancement of its indexer. In this post, we’ll dive into the major code navigation enhancements that have been made to Ruby LSP. We’ll also touch on some experimental features that are on…