Manufacturing Enterprise
Cloud-sync
enabled
Cross-platform
Result
Legacy Modernization · AI-Assisted Legacy Codebase Refactoring
Rebuild legacy monoliths into modern microservices.
With the legacy system fully documented, our senior architects design a clean, modern target architecture. Then, agentic AI takes over the heavy lifting — generating database schemas, APIs, and UI scaffolding. A team of 5 delivers what traditionally required 20 engineers.
Architecture design
AI module rewrite
Human security review
Automated unit testing
Microservices deployment
70%
Code generated
AI writes the boilerplate, tests, and translation layers.
5x
Faster delivery
Small, elite teams augmented by AI outpace massive traditional teams.
100%
Cloud-native
Refactored into modern microservices, containers, and serverless.
Zero
Legacy debt
We don't just translate bad code; we refactor it into modern patterns.
Why MetaDesign
The fastest path to modern software.
Combining agentic AI speed with human architectural brilliance.
Teams shipping with MetaDesign
Selected work
Case studies.
Financial Services Firm
High
performance
Real-time
analytics
REFACTOR.
REWRITE.
MODERNIZE.
SCALE.
Desktop to Web
Refactoring VB6/Delphi desktop apps into Next.js/React web applications.
Mainframe to Cloud
Migrating COBOL batch jobs to AWS Lambda and serverless architectures.
Framework Upgrades
Migrating AngularJS to modern React, or .NET Framework to .NET 8.
Monolith to Microservices
Decoupling massive monolithic backends into agile API-first services.
Our Approach
AI-Assisted Legacy Codebase Refactoring: Our Proven Process
01
Blueprint
Finalize the target cloud-native architecture based on the AI code analysis.
02
Slice
Isolate a specific module or domain boundary from the monolith for the first sprint.
03
Agentic Rewrite
AI agents generate the modern equivalent of the module's functionality.
04
Human Polish
Engineers refactor the AI output, connect complex integrations, and write extensive tests.
05
Deploy
Deploy the modernized microservice alongside the legacy system (Strangler Fig pattern).
01
Blueprint
Finalize the target cloud-native architecture based on the AI code analysis.
02
Slice
Isolate a specific module or domain boundary from the monolith for the first sprint.
03
Agentic Rewrite
AI agents generate the modern equivalent of the module's functionality.
04
Human Polish
Engineers refactor the AI output, connect complex integrations, and write extensive tests.
05
Deploy
Deploy the modernized microservice alongside the legacy system (Strangler Fig pattern).
Customer Value
Why refactor with AI?
The benefits of agentic redevelopment.
Unmatched Speed
Deliver modernization projects in a fraction of the time compared to traditional manual rewrites.
Fewer Human Errors
AI doesn't get fatigued. It accurately translates complex logic without missing subtle dependencies.
Future-Proof
Leave technical debt behind. Step into a fully modern, cloud-native, and highly scalable ecosystem.
Reduced operational cost
Automation that pays for itself within the first quarter.
Production-grade reliability
Guardrails, monitoring, and fallback logic built into every AI system.
Knowledge transfer
Your team learns to maintain and extend AI systems independently.
By the numbers
400+
Engineers worldwide
200+
Active clients
20yr
Pure-play software
94%
Client retention
Engagement models
Three ways to work with our AI-Assisted Legacy Codebase Refactoring team.
Pick the shape that matches your risk and timeline. We will tell you which one is wrong for your situation — even if it’s the bigger one.
AI-Assisted Legacy Codebase Refactoring Pod
A dedicated squad of senior engineers, tech leads, and QA delivering milestone-driven results with weekly demos and eval-gated merges.
- Dedicated engineering squad
- Weekly sprint demos
- Fixed monthly cadence
- Direct technical lead communication
BEST FOR
Build with a PodDedicated engineering squad
Hire AI-Assisted Legacy Codebase Refactoring Engineers
Senior specialized engineers embedded into your existing team within two weeks. Your stack, your tools, your standups.
- 2-week onboarding ramp
- Time-zone aligned collaboration
- Direct Git & Jira integration
- Flexible monthly contracts
BEST FOR
Request Talent2-week onboarding ramp
Turnkey / MVP Build
Go from requirements to production-ready launch in 6–10 weeks with fixed scope, upfront pricing, and guaranteed delivery.
- Fixed-price & fixed-scope
- End-to-end architecture & build
- Complete source code ownership
- Post-launch warranty & support
BEST FOR
Start Your BuildFixed-price & fixed-scope
FAQ
Asked first, every time.
Don't see yours here? Send us the question — a principal engineer will reply within 24 hours.
No. Line-by-line translation creates "modern legacy" code (e.g., writing Java as if it were COBOL). Our AI and human architects refactor the logic into modern, idiomatic design patterns.
It can, but usually, this is a great opportunity to drastically improve the UI/UX. We typically implement a modern design system (like Tailwind or Material UI) while keeping the core workflows familiar.
We use the extracted business rules to generate comprehensive automated unit and integration test suites. We also run the new system in parallel with the old system to compare outputs.
Yes. We containerize the application (Docker) and design it to run on modern cloud infrastructure (AWS/Azure) or Kubernetes.
Tell us about your project. We'll come back with a plan, a timeline, and the right team — no obligations.