VB6 to C# Modernization for a Financial Institution: 70–80% Faster Conversion, AWS-Native and Compliance-First

70–80%

Faster Conversion

A Salt Lake City financial institution needed to migrate its VB6 system to C# while meeting strict financial regulatory requirements and zero tolerance for business logic loss. Legacyleap used Amazon Bedrock for AI-powered code comprehension, Amazon Neptune as a vector database for code relationship mapping, AWS Glue for seamless data migration, and Amazon CodeGuru for code quality optimization. The result: 70–80% faster code conversion than manual approaches, improved system security, and a compliance-validated C# platform ready for modern financial operations.

Results at a Glance

MetricResult
Code Conversion Speed70–80% faster than manual approach
ComplianceStrict financial regulatory standards maintained throughout
SecuritySystem security improved post-migration
AWS ArchitectureAmazon Bedrock + Neptune + Glue + CodeGuru

Engagement Snapshot

IndustryFinancial Services / Banking
LocationSalt Lake City, UT
Legacy StackVB6
Target StackC# / .NET
AWS ServicesAmazon Bedrock, Amazon Neptune, AWS Glue, Amazon CodeGuru
Compliance FocusStringent financial regulatory standards
Delivery ModelGen AI-powered automation with AWS-native architecture

About the client:

The client is a leading financial institution based in Salt Lake City, recognized for its commitment to security and compliance in financial services. Their critical systems required modernization to meet evolving industry demands, but any migration had to maintain strict compliance with financial regulations throughout.

The client needed a fast, reliable path from VB6 to C# that would improve security and scalability without compromising regulatory compliance at any point during the transition.

Challenge

The client’s legacy VB6 system presented four constraints that made modernization both urgent and high-risk:

Security Vulnerabilities in a Regulated Financial Environment

The aging VB6 system carried security vulnerabilities that created exposure in an environment governed by strict financial regulatory standards. Addressing these vulnerabilities was a primary driver for the modernization initiative.

Scalability Limitations Under Compliance Constraints

The legacy architecture could not scale to meet evolving business demands, but any changes to the system had to remain within the bounds of financial compliance requirements. This meant that modernization could not take shortcuts, as every architectural decision had to satisfy both scalability goals and regulatory constraints simultaneously.

Inadequate Documentation Blocking Safe Migration

The VB6 codebase lacked adequate documentation, making it difficult to map business logic, dependencies, and integration points. Without comprehensive documentation, planning a safe migration path was slow and error-prone, and the risk of losing critical business logic during transformation was high.

Complex Business Logic Requiring Exact Preservation

The financial system contained complex business logic that had to be preserved exactly during migration. In a financial institution, even minor deviations in business logic can create compliance violations, reporting errors, or transaction inaccuracies. There was zero tolerance for logic loss.

How Legacyleap Modernized VB6 to C# with an AWS-Native Approach

Legacyleap used Gen AI-powered automation combined with four AWS services to deliver the migration. Each service played a specific role in the modernization pipeline:

Amazon Bedrock: Code Comprehension and Translation

Amazon Bedrock provided the AI foundation for analyzing and translating the VB6 codebase. Advanced large language models comprehended the legacy code structure, extracted business logic, and generated accurate C# translations, addressing the documentation gap by making the codebase understandable before any transformation began.

Amazon Neptune: Code Relationship Mapping

Amazon Neptune was used as a vector database to manage and maintain the relationships between legacy and modernized code components. This relationship mapping ensured that dependencies, integration points, and business logic connections were tracked throughout the migration, so nothing was lost or orphaned during transformation.

AWS Glue: Data Migration and ETL

AWS Glue handled data migration and ETL processes, ensuring that the transition from legacy data structures to the modernized environment was seamless and did not interrupt operations. Data integrity was maintained throughout the migration.

Amazon CodeGuru: Code Quality Optimization

Amazon CodeGuru was integrated to optimize the quality and performance of the newly generated C# code. CodeGuru’s analysis identified performance bottlenecks, security issues, and code quality improvements, ensuring the modernized codebase met production standards from day one.

Financial Compliance Throughout

The client operates under stringent financial regulatory standards. Legacyleap’s approach maintained compliance at every stage: Amazon Bedrock preserved business logic during translation, Amazon Neptune tracked all code relationships to prevent logic loss, and Amazon CodeGuru validated code quality and security. The modernized C# platform improved the client’s overall security posture compared to the legacy VB6 system.

Quantified Results

MetricBeforeAfterValidation Method
Code Conversion SpeedManual VB6 to C# conversion70–80% faster with Gen AI + AWSConversion timeline comparison
SecurityVB6 vulnerabilities creating regulatory exposureImproved security postureSecurity assessment
ComplianceMaintained under legacy constraintsMaintained and strengthened on modern platformCompliance review
ScalabilityLimited by legacy VB6 architectureScalable C# / .NET architectureArchitecture review
Code QualityUndocumented legacy codebaseCodeGuru-optimized, documented C#Code quality analysis
Details

Industry

Finance

LOCATION

Salt Lake City, UT

Challenge

To modernize its legacy VB6 system to C# while addressing security risks and scalability challenges.

Featured Services

Legacyleap, Amazon Bedrock, Amazon Neptune, AWS Glue, Amazon CodeGuru

Why Legacyleap

Legacyleap’s financial sector expertise made us the ideal partner for VB6-to-C# modernization. Our team’s proficiency in Gen AI-powered code transformation and domain-specific compliance ensured a secure, efficient transition, delivering a scalable solution while maintaining critical functionality under the most stringent industry standards.

Modernizing VB6 in a Regulated Financial Institution?

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Modernizing VB6 in a Regulated Financial Institution?

Our AWS-native approach keeps you compliant from assessment through go-live. $0 to start.

What You'll Receive:

Legacyleap platform with code analysis, dependency visualization, and modernization summary.

Frequently Asked Questions

Didn't find what you were looking for?

Legacyleap combines four AWS services into a single modernization pipeline. Amazon Bedrock handles AI-powered code comprehension and translation. Amazon Neptune maps and maintains relationships between legacy and modernized code components. AWS Glue manages data migration and ETL processes. Amazon CodeGuru optimizes the quality and performance of the generated C# code. Together, this pipeline delivered 70–80% faster code conversion for a Salt Lake City financial institution while maintaining strict regulatory compliance throughout.

Legacyleap preserves all existing business logic, security controls, and data handling patterns throughout the migration. Amazon Bedrock ensures accurate business logic translation, Amazon Neptune tracks all code relationships to prevent logic loss, and Amazon CodeGuru validates code quality and security in the modernized output. The approach is designed so that compliance posture is maintained at every stage, not validated only at the end. For institution-specific compliance requirements, the $0 assessment phase identifies which standards apply and builds compliance validation into the migration plan.

Amazon Bedrock provides the AI foundation for understanding undocumented legacy codebases. For this engagement, the VB6 system lacked adequate documentation, making manual analysis slow and error-prone. Bedrock’s large language models analyzed the legacy code structure, extracted business logic, identified dependencies, and generated accurate C# translations. This effectively solved the documentation gap, making the codebase fully comprehensible before any transformation began, which reduced risk and accelerated the entire migration.

The fastest proven approach combines Gen AI-powered code comprehension with AWS-native services for relationship mapping, data migration, and code quality optimization. For this financial institution, the approach delivered 70–80% faster code conversion than manual methods while maintaining strict regulatory compliance. Safety comes from the layered validation: Bedrock preserves business logic, Neptune tracks all relationships, and CodeGuru validates quality, meaning every stage has built-in safeguards rather than relying on a single final review.

Amazon Neptune serves as a vector database that manages the relationships between legacy VB6 components and their modernized C# equivalents. During migration, Neptune tracks dependencies, integration points, and business logic connections across the entire codebase. This ensures that no component is orphaned, no dependency is missed, and no relationship is broken during transformation. For a financial institution where business logic accuracy is non-negotiable, this relationship tracking is critical to maintaining both functional parity and regulatory compliance.

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