AI-Native Application Engineering

Refactor Monoliths
with AI Precision

Transform legacy codebases into cloud-native microservices. OmniGCloud's code-analysis engines identify technical debt and automatically generate modernized service blueprints.

The Legacy Burden

Fossilized Codebases

Decades-old Java or .NET applications often contain millions of lines of tightly coupled logic. Manual refactoring is slow, error-prone, and expensive. OmniGCloud uses AI to deconstruct these monoliths into manageable services.

Hardcoded environment dependencies
Monolithic database constraints
Lack of automated test coverage
Complex inter-service coupling
TECH_DEBT

"Our legacy CORE-banking system was a black box. OmniGCloud's AI scan mapped 4,000 hidden dependencies in 24 hours." — CTO, Regional Bank

The AIA-Engineering Pipeline

01

Semantic Analysis

Understanding legacy code intent using multi-agent LLM analysis.

02

Domain Extraction

Identifying bounded contexts and microservice boundaries automatically.

03

Contract Generation

Producing OpenAPI specs and gRPC contracts for the target architecture.

Application FAQ

Which languages do you support?

We have optimized models for Java (EJB/Spring), .NET Framework (C#), C++, and legacy Python 2.x codebases.

Do you provide automated code re-writing?

We focus on 'Managed Assistance'—generating the boilerplate and refactoring suggestions that developers can review and commit using our G-Dev tools.

Is the AI secure for private code?

100%. Our AI engines run within your sovereign environment. Your source code never leaves your perimeter.