Ruby on Rails Development
Rails powers the web layer. Python powers the AI. Ship both fast.
Rails Still Works
Rails isn't the hot new thing anymore. It's the mature thing that gets work done. GitHub, Shopify, and Basecamp run on Rails because it's stable, productive, and has solved most of the problems you'll encounter. We've been shipping Rails apps since version 1.0 in 2005.
Now Rails has a new job: being the fastest way to put AI features in front of real users. Rails handles authentication, caching, background jobs, and the web interface. Python handles model inference and training. The two fit together cleanly because Rails was built for exactly this kind of service integration. Convention over configuration means you spend time on AI features, not plumbing.
Our Ruby Services
Rails + AI Prototyping
Rails ships MVPs fast. We build the web layer in Rails and connect it to Python AI backends, so you can test AI features with real users in weeks instead of months.
AI Feature Integration
Your Rails app already has users, data, and auth. We add AI capabilities on top: LLM-powered features, embeddings search, recommendation engines. Rails handles the web, Python handles the models.
API Development
REST or GraphQL APIs that bridge Rails and AI services. Clean contracts between your web layer and ML backends with versioning, auth, and documentation that actually helps.
Rails Upgrades
Stuck on Rails 4? 5? We upgrade major versions incrementally, handling deprecations and dependency conflicts while keeping your app running. Modern Rails is a better foundation for AI integration.
Performance Optimization
AI features add latency. We optimize the Rails side so your app stays responsive: background inference with Sidekiq, response streaming, caching model outputs, database tuning.
AI-Ready Architecture
Refactoring your Rails app to support AI workloads: async job pipelines for inference, webhook endpoints for model callbacks, structured data layers that feed ML pipelines.
Ruby Technology Stack
Frameworks
- Ruby on Rails 7+
- Sinatra
- Hanami
- Grape API
- Padrino
- Rails API
Databases
- PostgreSQL
- MySQL
- MongoDB
- Redis
- ActiveRecord
- Sequel
Background Jobs
- Sidekiq
- Resque
- Delayed Job
- Good Job
- Solid Queue
Testing
- RSpec
- Minitest
- Capybara
- FactoryBot
- Faker
- SimpleCov
Frontend
- Hotwire
- Turbo
- Stimulus
- ViewComponent
- Tailwind CSS
- Bootstrap
DevOps
- Docker
- Kubernetes
- Heroku
- AWS
- Capistrano
- Kamal
Why Ruby on Rails?
Decisions Already Made
Rails conventions mean less time debating folder structure and more time building features. Opinionated frameworks ship faster.
Code That Reads Well
Ruby syntax is expressive enough that code documents itself. Junior developers can read it; senior developers can maintain it.
Mature Ecosystem
RubyGems has a library for almost everything, and most of them have been battle-tested for years. Less reinventing wheels.
Fast Development
Rails generators, conventions, and built-in features mean shipping in weeks instead of months. Good for MVPs. Good for adding features.
Why Choose Convective?
Rails Since 1.0
Twenty years of shipping Rails applications. We've seen every version, every upgrade path, every gem that promised too much. We know what works.
Full-Stack Rails
Database to frontend, including Hotwire and Turbo. One team that understands the whole stack, not specialists who can't help each other.
Tests Are Standard
We don't ship code without tests. RSpec or Minitest, whatever your team uses. Coverage that catches regressions before users do.
Performance We Can Prove
Rails can handle serious traffic. We optimize with profiling data, not guesses. Caching, background jobs, database tuning, whatever the app needs.
Trusted by Industry Leaders
Rails App Ready for AI?
Adding AI features to an existing app, building a new Rails + AI prototype, or upgrading before you integrate? Tell us what you’re working with. We’ll give you an honest assessment.