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AI & Automation Aug 10, 2026 3 min read Nextware Team

Announcing Our Next Open-Source Initiative: Building AI Applications with the Claude API Using Ruby & Ruby on Rails

Introducing: Building AI Applications with the Claude API Using Ruby & Ruby on Rails

Artificial Intelligence is transforming the way modern software is built. Every day, developers are integrating Large Language Models (LLMs) into web applications, mobile apps, internal tools, customer support systems, developer workflows, and enterprise software.

However, one challenge continues to stand out.

Most AI tutorials, courses, and examples are built using Python.

While Python is an excellent language for AI research and machine learning, Ruby developers are often left searching for production-ready examples that fit naturally into Ruby and Ruby on Rails applications.

At Nextware Systems, we believe the Ruby community deserves high-quality AI education built specifically for Ruby developers.

Today, we're excited to announce our newest open-source initiative.

Building AI Applications with the Claude API Using Ruby & Ruby on Rails

Over the coming months, we'll be creating a comprehensive, production-focused course designed entirely around Ruby and Ruby on Rails.

Rather than simply translating Python notebooks into Ruby, we'll build every lesson from the ground up using Ruby best practices, Rails architecture, service objects, testing, background jobs, and production-ready design patterns.

Our goal is simple:

Help Ruby developers build real AI applications—not just API demos.

What You'll Learn

This course will cover everything from beginner concepts to advanced production systems, including:

  • Claude API fundamentals

  • Prompt engineering

  • Multi-turn conversations

  • Response streaming

  • Structured outputs

  • Prompt evaluation

  • Tool calling

  • Retrieval-Augmented Generation (RAG)

  • Image understanding

  • PDF processing

  • Prompt caching

  • Model Context Protocol (MCP)

  • Claude Code

  • AI Agents and Workflows

  • Production AI architecture with Ruby on Rails

  • Building and deploying AI-powered SaaS applications

Every lesson will include practical implementations using modern Ruby development practices.

What Makes This Course Different?

We're designing this course to be much more than a collection of code snippets.

Every lesson will include:

  • 📖 Detailed written explanations

  • 💻 Pure Ruby examples

  • 🚂 Ruby on Rails implementations

  • 🧪 RSpec tests

  • 🏗 Production-ready architecture

  • 📊 Architecture diagrams

  • 🎥 Video lesson scripts

  • 🎞 Screencast plans

  • 📝 Technical blog articles

  • 🧩 Hands-on exercises

  • ✅ Complete solutions

  • 📚 GitHub source code

  • ⚠️ Common mistakes and best practices

By the end of the course, you'll know how to build scalable AI applications that are ready for production.

Building in Public

One of our goals is to build this course openly.

As we develop each lesson, we'll share:

  • Progress updates

  • GitHub repositories

  • Technical blogs

  • Architecture discussions

  • Ruby examples

  • Rails implementations

  • Design decisions

  • Lessons learned

We hope this transparency will help other developers while also allowing us to continuously improve the course based on community feedback.

We Need Your Help

This is where we'd love your participation.

Whether you're an experienced Ruby developer, a Rails architect, an AI enthusiast, or someone just beginning your AI journey, your feedback can help shape this course.

We're especially interested in hearing:

  • Which Claude API topics are you most excited to learn?

  • What AI applications are you currently building?

  • Which Ruby AI libraries or integrations would you like to explore?

  • What challenges have you faced while adding AI to Ruby or Rails applications?

  • What production topics do you think are often missing from existing AI courses?

  • Are there real-world projects you'd like us to build as part of the course?

If you have ideas, feature requests, or examples you'd like to see, we'd love to hear them.

Join the Journey

Our vision is to create one of the most comprehensive AI learning resources available for the Ruby ecosystem.

We'll be sharing every milestone along the way through:

  • Nextware Systems Blog

  • GitHub

  • LinkedIn

  • Facebook

  • YouTube

  • Live coding sessions

  • Open-source repositories

If this sounds interesting, follow our journey, share this announcement with fellow Ruby developers, and leave your suggestions in the comments.

Together, let's build something that helps the entire Ruby community embrace AI with confidence.

The first lesson is coming soon—and we'd love to build it with you.

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