AI-Driven Application Comprehension & Legacy Modernization

Key Challenges

The client needed to modernize a large legacy application while preserving decades of embedded business logic and database rules. Traditional code conversion produced syntactically correct code but frequently missed functional requirements, causing extensive rework.

Key Results

A multi-agent modernization platform now deeply analyzes legacy systems before generating modern .NET and Angular applications — preserving business rules, validating functional parity, and sharply reducing manual rework and failed acceptance testing.

Our Solution

Built a Discovery Agent to identify components, resolve dependencies, and build a migration manifest.
Implemented an Analysis Agent to extract business rules, UI behavior, stored procedures, and validation logic across layers.
Created an Architecture Agent that learns reusable patterns and applies them consistently across migrations.
Developed dedicated Backend and Frontend Generation Agents for modern .NET services, APIs, and Angular components.
Introduced a QA & Repair Agent to generate tests, find functional gaps, and recommend corrections before deployment.
Established an AI-driven pipeline that verifies functional parity before production.