Happy Wednesday! Here is issue #146 of our newsletter, which includes news on Heroku’s shift to a sustaining engineering model and the growing role of AI in Rails development (plus a fresh community space for Rubyists). 1. 🚀 Heroku shifts to a “sustaining engineering model”. Now is the perfect time to plan your next move! In this article, Ernesto discusses key considerations when migrating your Rails app, from selecting the right alternative platform to planning a smooth, low-risk transition. Avoid surprises and downtime. Plan Your Migration with FastRuby®’s 6-phase migration service. 2. 🎉 Adding more workers made their Rails app slower, here's how they fixed it. RubyStackNews shares what they learned from Shohei Kobayashi's insightful journey of transforming a decade-old Rails app from Delayed Job to Solid Queue. Check out the practical steps to scalable background processing and achieving seamless linear scaling without adding extra infrastructure. 3. 💎 The Ruby Users Forum, the new community space for developers, is live now! Whether you're a seasoned Rubyist or just starting out, this forum is your go-to place to connect, share, and learn with fellow enthusiasts. Ask questions, share resources, and discuss Ruby and its ecosystem. A welcoming place to connect and contribute. 4. 🚨 Misled by green coverage numbers? There’s a New Cop in Town: Povilas Jurčys introduces rubocop-rspec_parity! This gem ensures your public methods are truly tested, catching those sneaky bugs hiding behind 'covered lines'. Whether you're solo coding with AI or part of a team, this tool acts as your code's courtroom, holding it accountable while delivering honest feedback. 5. 🏗️ Rage: The Rails we might have if it were built today. In this post, Roman Samoilov explores the idea of the “operational monolith,” reimagining how modern Rails apps could balance simplicity, scalability, and operational concerns. Discover how the Rage framework tackles modern complexities with a monolith-first design, keeping systems simple yet scalable. Artificially Speaking – A quick word from the AI world.6. 🤖 RubyLLM 1.12 turns agents into simple, reusable tools. No fancy orchestration, just clean Ruby. In this post, Carmine Paolino introduces the new Agents feature in RubyLLM v1.12, showing how to build more capable, tool-using AI workflows directly in Ruby—bringing structured agent behavior to your LLM-powered apps. Crafting agents is now as easy as pie: define once, use everywhere. 🥧 AI is changing how we work & build software. All teams need a strategy for adopting AI tooling. The AI Readiness Assessment helps CTOs and engineering teams evaluate their readiness for AI-assisted development by identifying high-impact opportunities, uncovering workflow gaps, addressing security & compliance, and providing a clear strategy and cost-benefit analysis. 📈 7. 🧑💻 Curious how AI fits into a real Rails workflow? Discover how seasoned developers leverage AI to supercharge Ruby on Rails projects! In this post, Mario Chavez shares a practical look at how he uses AI to write Ruby on Rails code. From brownfield to greenfield applications, learn practical strategies that emphasize the power of context and documentation layers. See what works, where it helps most, and how it integrates into everyday development. 8. 📆 Events:
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