Your background job ran for six hours, processed 2 million records, then died 94% of the way through a deploy. Sound familiar? Retries with exponential backoff don't help when your job was aborted, not failed. The Ruby ecosystem has evolved multiple answers to this problem: Shopify's job-iteration and Rails 8.1's new Active Job continuations. Outside of pure-Ruby solutions, Temporal brings a workflow-based approach. This talk surveys the 2026 landscape of resilient background job options in Ruby. We'll dig into the history, compare the tradeoffs between iteration-based, step-based, and workflow-based approaches, and explore when you need to graduate from "resilient jobs" to "orchestrated workflows." You'll leave with a framework for choosing the right tool for your workload.

With more and more tools abstracting from a developers workflows, understanding how git visualization tools help - not simply using it - is more important than ever. In this article, we take a look at the history of git workflows, the basics of git, and the renaissance of understanding version control in a world gone mad for "vibe coding"

The fediverse is a welcome alternative to billionaire owned social networks. We know that design decisions have tradeoffs and, on the fediverse, people should consider the possibility of being put into the unenviable position of losing their presence because their server suddenly disappears. This is not common but losing your identifier and data can be a real pain if it happens. In the spirit of the indieweb, one way to mitigate this threat is owning your own domain. Mastodon, the most popular fediverse software, and other fediverse applications interoperate with remote servers with users who have identifiers whose domain is different than the server they reside on through Webfinger Reverse Discovery. In this talk, lessons learned from 2 years of dogfooding a ruby fediverse application will be shared.

"Rails magic" is a term many people use to describe the ease with which Rails helps you go from zero to working app so quickly. However, like all other frameworks, there's no magic to be found – only code! In this talk, you'll get a peek behind the curtain as we break down the ActiveRecord Enums module. First, you'll learn what it is, how/when to use it, and some cool tricks it provides. Then, we'll examine the codebase together and unravel the mystery behind the magic. Rails developers of all skill levels will come away from this talk with new-found knowledge on how to traverse a codebase and gain a better understanding of the ActiveRecord Enums module.

This talk shares lessons from my initial journey building AI functionality into a Ruby on Rails application. I'll show the evolution of the system, starting with a direct integration using the Anthropic API before transitioning to a using the RubyLLM gem and the niceness it provides. I have the unique experience of building an AI tool in an organization where accuracy is paramount, and have learned how to dial the temperature to get just what we need. A key take-a-way should be how prompt versioning can work with a prompt being changed 100+ times during experimentation. I'll demonstrate the power of tool calls (function calling) not just for executing actions, but as a critical pattern for structuring reliable, machine-readable AI responses. Attendees will leave with practical, code-level advice for moving beyond simple text generation to building robust, production-ready AI features in a Rails environment.

JRuby more than Ruby for JVM! Optimize your code, max out cores, deploy single-file apps, build portable GUIs and more. It's fun and easy with JRuby!

Teams often hit scaling walls with Rails and assume the framework is the problem. In reality, growth failures usually come from three structural traps that only appear once traction arrives. The difference between startups that stall and companies that reach planetary scale lies in how they confront them. In this talk, Cristian Planas (former startup founder/CTO, former Group Tech Lead for performance at Zendesk, and author of "Rails Scales! Practical Techniques for Performance and Growth") reveals the three villains that silently limit your app's ability to scale. He will show how they surfaced in his own startup, why naive fixes make them worse, and what the companies operating Rails at planetary scale do differently. You'll leave with a mental model and a set of tools to defeat them before they defeat you.