AI Code Modernization Agents
Transform legacy code to modern Python — automatically, accurately, and at enterprise scale.
Legacy Code Is Costing You
75% of enterprise IT budgets go toward maintaining legacy systems. Manual modernization projects take years and fail 60% of the time. Our AI agents change that equation entirely.
Key Capabilities
Our AI agents handle every aspect of code modernization — from analysis to deployment.
Legacy-to-Python Transformation
Automatically convert COBOL, ABAP, VB6, and legacy .NET code into clean, modern Python with preserved business logic.
Automatic Version Upgrades
Upgrade Python 2 to 3, Django 2 to 5, or any framework version with AI-powered migration that handles breaking changes.
Code Analysis & Documentation
AI agents analyze your codebase to generate comprehensive documentation, architecture diagrams, and dependency maps.
Dependency Mapping
Automatically trace and resolve complex dependency chains across modules, services, and external integrations.
Test Generation
Generate comprehensive unit, integration, and regression test suites that validate the modernized code matches original behavior.
CI/CD Integration
Seamlessly integrate with existing CI/CD pipelines. Incremental deployment with automated rollback capabilities.
How It Works
Five steps from legacy code to modern, production-ready Python.
Ingest
Connect your legacy codebase
Analyze
AI maps dependencies & logic
Generate
Transform to modern Python
Test
Automated test validation
Deploy
Incremental safe deployment
Use Cases
Real-world modernization scenarios powered by our AI agents.
SAP ABAP to Python
Modernize SAP ABAP custom code into Python microservices while maintaining integration with SAP systems.
COBOL Mainframe Modernization
Transform COBOL mainframe applications into cloud-native Python services with preserved business rules.
Legacy .NET to Modern Stack
Migrate legacy .NET Framework applications to Python with modern architecture patterns and cloud deployment.
Start Your Modernization Journey
Transform your legacy codebase into modern, maintainable Python — without the risk of traditional migrations.