Happy Wednesday! For issue #128 of the newsletter, we have a treat! 🤖 This special issue is all about AI... Dive into some fascinating ways AI can be incorporated into business processes and developer life as a valuable tool for coding, creativity, and effective decision-making. The place where you'll always find the latest news and the best tools for your current or future Rails projects... 1. 🚀 In this article, ​Amanda​ explains how we implemented an LLM-based AI Assistant for the FastRuby.io Newsletter. Discover how we used Sinatra, pgvector, and Langchain.rb to build a simple solution that helped optimize our workflow to produce this very newsletter, saving us valuable human time and boosting efficiency. 🤖 Dive in to see how you can elevate your own processes! 2. 🚀 ​Parallax partnered with OmbuLabs to transform resource planning through an innovative predictive machine learning model​! 🚀 This case study examines how the OmbuLabs team collaborated with Parallax to leverage their data and produce valuable insights using rapid prototyping and lean development. Learn how this partnership helped them prove an innovative concept and see how machine learning can transform products. 3. 🔎 If you’ve been working with (or reading about) LLM-powered applications, you’ve probably heard of Semantic Search. In the article, ​Implementing Semantic Search with Sequel and pgvector​, learn how to implement a basic retrieval system to leverage this technique and deliver smarter, context-aware search results that can greatly improve the quality of your AI assistant’s output. 😫 Falling behind on your upgrades? Exhausted from chasing deadlines and patching outdated code?​ 🌳 Bonsai delivers expert, zero-downtime Rails upgrades with affordable plans starting at $4,000/month. Our AI-powered, battle-tested process will get you to a supported version faster. 🤖 If your team struggles with an aging codebase, let us take the headache out of your next upgrade. 🚀 4. 🤖✨ ​Dive into Tute's journey at Buoy, where AI is transforming feature development!​ Using the Claude-3.5-sonnet model, Tute demonstrates how an AI agent can automate code generation, organize files, and write specifications, thereby freeing up time to focus on product innovation. Curious about AI's role in coding or eager to streamline your Rails workflow? Whether you're new to AI tools or already experimenting, this blog offers real-world insights into how agents can help you code more efficiently. 5. 💎 Discover why Ruby is a game-changer for AI web apps! In Building AI Applications in Ruby, Ed Izaguirre, co-founder of Los Angeles AI Apps, discusses how Ruby on Rails streamlines AI integration, making it refreshingly easy to build AI-assisted web applications. With powerful gems like RubyLLM and Torch.rb, Ruby is making a splash in AI. 6. 🧠Can AI replace human expertise in coding? In ​My Two Cents on Coding and LLMs​, RubyCademy explores the synergy between LLMs and deep Ruby knowledge. They share candid reflections on the evolving relationship between coding and large language models (LLMs). Blending personal experience with practical insight, this post explores what LLMs can (and can’t) do for developers, and what it means for the future of programming. 👀 Check out our other articles on: ​​Performance​​ | ​Upgrades​​​ | ​​​Best Practices​​​ | ​​​Tech Debt​​​ Bookmark them, share them, or save them for later. We hope you found these links helpful.😉 Know anyone who would love to receive this newsletter? Tell them to ​​​subscribe to the Rails Upgrade News newsletter​​​​​… Best, The ​​​​​FastRuby.io​​​​​ Team |
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