Relevance Lab Introduces GenAI-powered Application Modernization Framework to Address Technical Debt

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Relevance Lab has launched its GenAI-powered Application Modernization Framework, a cutting-edge solution designed to help enterprises tackle technical debt and modernize legacy applications with speed and precision.

Technical debt, which consumes over 70% of IT budgets, often results in rising maintenance costs, increased security vulnerabilities, and slower feature delivery. Traditional modernization methods, reliant on manual assessments and costly consultants, are slow, expensive, and prone to failure.

Relevance Lab’s framework leverages Generative AI (GenAI) to:

Automate discovery and risk analysis
Provide accurate effort and timeline estimates
Preserve functionality with auto-generated test cases
Deliver actionable modernization roadmaps

In a recent success story, Relevance Lab helped a large retail customer modernize a legacy MERN (MongoDB, Express, React, Node.js) application. The application was running on outdated versions, including Node.js 12, React 16, and MongoDB 3.6.

Using the GenAI framework, the modernization process was completed in just eight weeks with a team of two developers and one tester. The framework provided a detailed roadmap, including backend upgrades, frontend refactoring, and database migration, resulting in faster decision-making, reduced risk, and predictable outcomes.

The framework is already transforming industries like healthcare, banking, and manufacturing by enabling faster, smarter, and less risky modernization.

Learn more about this innovative solution by reading the full blog: Tackling Technical Debt with a GenAI-Powered Application Modernization Framework.

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