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QAReviewer: Validation & Quality Assurance

The QAReviewer agent ensures the BA output is accurate and complete by:

  • Cross-Referencing Requirements: Matches extracted features against stakeholder interviews and legacy spec artifacts.

  • Logic Consistency Checks: Runs simulation tests on stubbed endpoints to verify identified workflows.

  • Gap Analysis Report: Highlights missing edges cases, deprecated dependencies, and ambiguous business rules for human review.


RefactorAgent: Intelligent Code Rewriting

RefactorAgent orchestrates the actual transformation to a modern microservices stack:

  1. Service Scaffolding: Generates boilerplate for RESTful microservices in .NET Core (or chosen stack) with OpenAPI contracts.

  2. Logic Translation: Rewrites legacy business methods into isolated service endpoints, preserving original behavior.

  3. Unit Test Generation: Auto-creates NUnit/xUnit tests covering >90% of critical paths.

  4. Documentation & CI/CD: Produces Markdown service docs and injects pipelines into Azure DevOps for build/test/deploy.

DiscoveryAgent: Automated Business Analysis

The DiscoveryAgent leverages Azure OpenAI to ingest monolithic code and scattered documentation, then:

1. Codebase & Doc Ingestion: Parses source repositories, readmes, and design docs to build a unified project map.

2. Feature Extraction: Identifies key modules, public APIs, and business-critical logic flows.

3. Task Breakdown: Generates a prioritized list of refactoring tickets—database migrations, UI rewrites, and integration touchpoints.

4. Preparation Checklist: Outlines environment setup, dependency updates, and data-sanity checks needed before coding.

<ul class="font_8"> <li><p class="font_8"><strong>Record-Time Modernization: </strong>Converted a 2M-line monolith into 12 microservices in 8 weeks—40% faster than manual estimates.</p></li> <li><p class="font_8"><strong>Robust Quality: </strong>Achieved over 95% automated test coverage and zero major production incidents post-migration.</p></li> <li><p class="font_8">Scalable Architecture: Enabled independent service deployments, cutting release cycles from months to days.</p></li> <li><p class="font_8"><strong>End-to-End AI-Driven SDLC:</strong> From requirements gathering to production rollout, every phase leveraged intelligent agents—transforming what was once “impossible” into a repeatable, high-velocity process.</p></li> </ul> <p class="font_8"><br></p>

LegacyTransform Copilot Extension

Agentic Modernization of Legacy Codebases

Business Impact

  • Record-Time Modernization: Converted a 2M-line monolith into 12 microservices in 8 weeks—40% faster than manual estimates.

  • Robust Quality: Achieved over 95% automated test coverage and zero major production incidents post-migration.

  • Scalable Architecture: Enabled independent service deployments, cutting release cycles from months to days.

  • End-to-End AI-Driven SDLC: From requirements gathering to production rollout, every phase leveraged intelligent agents—transforming what was once “impossible” into a repeatable, high-velocity process.


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