Upgrade your legacy Rails monolith to a modern stack, de-risked by AI.
Early Rails applications scaled into brittle monoliths with outdated dependencies that are too risky to upgrade by hand. Paradym Next reads the models, controllers and gems, recovers the business logic and rebuilds it on modern Rails or TypeScript with a React or Vue 3 front end: in months, with your engineers approving every stage.
Your Rails monolith is stuck on versions nobody supports.
Many businesses that started in the early 2010s still run on Rails 2 or 3. Each step of a manual upgrade breaks gems, monkey patches and assumptions in the code.
Outdated dependencies
Old Ruby and gem versions are out of support and carry known vulnerabilities.
Brittle monolith
Callbacks, concerns and monkey patches make behaviour hard to predict.
Slow delivery
Long test suites and fragile deployments slow every release.
Business rules hide in model callbacks, before filters and rake tasks added over a decade. Recovering them is what lets a modern version behave exactly like the old one.
How our AI-powered modernisation engine works.
Four stages take your Rails application from undocumented code to containerised Rails 7 or TypeScript and Node.js, with React, Vue 3 or Nuxt front ends. AI agents do the reading, mapping, writing and testing. Your engineers approve every stage.
Automated discovery and code parsing
Next parses your Rails models, controllers, views, gems, rake tasks and migrations and extracts the business rules, data flows and integrations inside them. Every rule is traced to the code it came from, so nothing drifts in translation.
AI-assisted architecture blueprint
Agents map each module to clean target patterns: modern Rails or TypeScript services, current dependencies, REST APIs, React, Vue 3 or Nuxt front ends and containerised deployment. Your architects review and approve the blueprint before any code is written.
Automated refactoring
From the approved blueprint, Next generates production-ready code for containerised Rails 7 or TypeScript and Node.js, with React, Vue 3 or Nuxt front ends. It consolidates duplicated logic and removes dead code, and your engineers review every change.
AI-driven regression testing and validation
Generated test suites run the old and new systems on the same inputs, validating 99% functional equivalence before deployment. Any difference goes to your team to resolve.
What AI acceleration changes.
Compared with a standard manual migration of your Rails application.
less development effort than a standard manual migration.
faster upgrade and migration cycles.
lower operational and cloud infrastructure overhead.
AI does the heavy lifting. Your engineers make the decisions.
For a CTO or CIO, the risk in a rewrite is not speed but correctness. Human review is built into every stage, so AI output never reaches production unchecked.
Traced to source
Every extracted rule and generated module links back to the Rails code it came from, so reviewers can check it line by line.
Human approval gates
Discovery, blueprint, code and release each need sign-off from your people. Nothing moves forward on AI output alone.
Equivalence testing
Old and new systems run the same test cases side by side, validated to 99% functional equivalence before deployment.
Governed AI
You choose which models are used and where they run, and every agent action is recorded for audit.
Schedule your AI-driven Rails architecture audit today.
Start with a free assessment of one Rails application: what it does, what depends on it, and what moving it to containerised Rails 7 or TypeScript and Node.js, with React, Vue 3 or Nuxt front ends would involve.