VB6 has been successfully powering enterprises for many decades. However, incomplete enhancements to address the 70/30 ‘failure’ rate of traditional ‘migrations’ has meant that many companies have become ‘manual crawl’ mode companies.

In this new industry, the discontinuation of static, user-defined transposition rules has been transformational. Our most recent whitepaper, "The Legacy Leap," analyzes the disruptive impact of Agentic AI on the modernization of the ‘narration’ of text to the ‘reasoning’ of the strategic. Learn how Agentic AI orchestrated pipelines articulate the ‘creative’ of AI to the ‘new’ and ‘modern,’ cloud-native.

Why Your Current Migration Strategy Might Fail

Traditional tools often produce "VB6 in C#"—code that builds but retains the technical debt and spaghetti structure of the original. This whitepaper reveals a new paradigm: Agentic Modernization.

• Beyond Syntax Swapping: Learn how AI agents evaluate the intent behind your modules to refactor global variables and procedural calls into modern Dependency Injected services.
• The Context Window Advantage: Understand how 1M+ token context windows allow agents to consume entire projects at once, solving the cross-module dependency bottlenecks that stymied previous automated attempts.
• Cracking the COM/ActiveX Code: Understand how to remove legacy ActiveX/COM controls that lack modernization and replace them with NuGet replacements without being compromised by the 32-bit systems.

The AI Orchestration Pipeline

Achieving a successful AI-based migration is a continuous process. It involves a flow of agents with specific functional capabilities. This white paper includes information on each specialized role. For example, the Discovery Agent, Architectural Agent, and Self-Healing Correction Agent collaboratively parse through metadata, suggest target architectures (such as Clean Architecture), and iteratively correct code until the code successfully passes the compiler.

What You Will Learn

• The Iterative Loop: Implementing an automated Compile, Fail, Fix Loop that uses AI to use error code against the context of the project to have corrected code blocks.
• Logic Parity Testing: With AI, you can create unit tests on both the code and the target, and make sure your new code is correct. The NAT services generate the same outputs as your old logic.
• Intelligent UI Modernization: How to map old .frm layouts to new Blazor or MAUI apps using new engines such as Flexbox and Grid.
• Risk Management: Advice on risk management of LLM hallucinations, code security through privately-hosted models on VPN, and some special legacy behavior such as 1-based indexing.

The 'Legacy Leap' is no longer a manual crawl, time to get off code and begin orchestrating agents - with the high-level strategic integration that must be offered by human intuition.

Download the Free Whitepaper

Get the blueprint for the next generation of legacy modernization.