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Legacy Modernization · AI-Assisted Legacy Codebase Refactoring

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.
Trusted by enterprises worldwideCMMi Level 3ISO 27001SOC 220+ Years
Why MetaDesign

The fastest path to modern software.

Combining agentic AI speed with human architectural brilliance.

01

Agentic Translation

We don't do naive line-by-line translation. AI agents rewrite modules into idiomatic, modern code (e.g., converting procedural COBOL to object-oriented C# or functional TypeScript).

02

Microservices Architecture

We break apart monolithic legacy applications into scalable, independently deployable microservices.

03

Human-in-the-Loop

Senior engineers review every AI-generated pull request to ensure security, performance, and architectural integrity.

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

Five stages, paired end-to-end.

Predictable delivery. No black-box sprints.

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.

Technology

Tools our ai-assisted legacy codebase refactoring developers ship with.

We use what works. No vendor lock-in.

Next.jsReactTypeScript.NET 8PythonGoDockerKubernetesServerlessAWSAzureGCP
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.

Scale up, scale down — zero procurement headaches.

Fixed-scope project

Start-to-finish delivery with total cost, timeline, and scope agreed upfront. Best for well-defined builds and launches.

BEST FORNew product launches

Dedicated team

A ring-fenced squad — PM, tech lead, engineers, QA — fully managed by us, embedded in your workflow.

BEST FORLong-running platforms

Staff augmentation

Plug senior engineers into your existing team and tools. You manage priorities, we deliver results.

BEST FORCapacity gaps & sprints
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.

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