- Consulting services
Legacy and Mainframe Code Conversion using GitHub Copilot
A Generative AI powered approach to modernizing legacy mainframe applications by automating code extraction, UI/API generation, and test case development using GitHub Copilot.
Capgemini’s Mainframe Code Conversion Journey enables organizations to modernize legacy mainframe applications by leveraging GitHub Copilot for:
-Extracting business rules from mainframe code ~40% faster than traditional approaches. -Generating UI (ReactJS) and API (Spring Boot) code, even for developers with no prior knowledge, reducing development effort by 70%. -Automating unit test case creation, achieving 90% automated test coverage for APIs. -Reducing SME dependency by 50%, as GenAI clarifies routine business rules with minimal manual intervention. -Enhancing DevOps automation through GitHub Copilot-generated OpenAPI specs, build scripts, and deployment pipelines.
This solution drives increased adoption of Microsoft products such as:
-Azure DevOps & GitHub – Integrated CI/CD for mainframe-to-cloud transformation. -Microsoft Excel – Exporting legacy system insights for analysis. -VS Code – Optimized GenAI-driven development with Copilot integration.
Project Deliverables:
-Automated Code Extraction from COBOL, JCL, Copybooks using GitHub Copilot. -GenAI-driven UI & API Code Generation with ReactJS (UI) and Spring Boot (API). -Automated Unit Test Case Generation (~90% test coverage). -Code Refactoring & Consolidation for efficient modernization. -DevOps Automation via OpenAPI specs, build scripts, and containerization. -Legacy System Analysis & Documentation using AI-assisted prompts.
Duration: Ongoing implementation with the ability to scale based on enterprise modernization needs.
Technologies Involved: GitHub Copilot Microsoft Azure DevOps ReactJS & Spring Boot