Frequently Asked Questions

Legacy code modernization is the process of updating or migrating software built on outdated technologies to modern architectures, languages, and frameworks — while preserving the core business logic the organization depends on. For .NET environments, this typically means moving from VB6, VB.NET, or ASP.NET Web Forms to .NET 8, Blazor, Razor Pages, or microservices architectures.

AI-driven legacy code modernization uses artificial intelligence and machine learning to automate tasks that previously required weeks of manual effort: codebase inventory, dependency mapping, CVE scanning, technical debt measurement, business logic extraction, and migration planning. AI reduces modernization project timelines by up to 90% compared to traditional manual assessment.

The clearest signals are: your application runs on VB6 (end-of-life 2008) or ASP.NET Web Forms; you cannot find developers who understand the codebase; maintenance consumes most of your IT budget; the system cannot integrate with modern APIs or cloud services; or your security team has flagged unpatched CVEs. The free Smart AI Modernization Analyzer can identify all of these in a single offline scan.

The risks compound every year. VB6 has received no security patches since 2008. Known, unpatched CVEs exist in legacy ASP.NET Web Forms dependencies. As your developer pool shrinks, one key employee departure can leave you with an unmaintainable system. Organizations running outdated infrastructure face 3× more cyberattacks than those on modern platforms. Legacy systems also cannot connect to modern APIs, cloud services, or AI tooling.

Refactoring updates existing code without changing external behavior — cleaning syntax, upgrading dependencies, improving structure. Rearchitecting changes the fundamental structure (e.g., breaking a monolith into microservices or converting a WinForms desktop app to a web app). Replacing builds an entirely new system that replicates business logic from scratch. The Business Risk Report from our analyzer includes ROI scenarios for all three paths.

VB6 reached end-of-life in 2008 and has received no security updates since. Applications built on it cannot run natively on 64-bit Windows, cannot integrate with current cloud services or APIs, and have a rapidly shrinking pool of developers. Every year a VB6 system stays in production, the cost of eventual migration grows and the risk of a critical failure or breach increases. See our VB6 modernization page for detailed migration paths.

Technical debt is the accumulated cost of shortcuts, outdated dependencies, and deferred upgrades in a codebase. In our Technical Report, it is measured through: CVE-flagged NuGet dependency count and severity, framework version support status, module size distribution, deprecated API usage volume, and cyclomatic complexity estimates. The Business Risk Report translates these into estimated remediation cost and a cost-of-inaction timeline.

The Technical Report covers: full codebase inventory, framework version detection, NuGet dependency audit with CVE flags at file and line level, module size analysis, security findings with exact file and line references, and modernization complexity estimates per component. The Business Risk Report covers: cost-of-inaction timeline, ROI scenarios for three modernization paths, technical debt in business terms, and recommended next steps with effort estimates.

Yes — this is a core design requirement. The analyzer makes zero outbound network connections and is built for air-gapped enterprise environments. The generated HTML reports open in any browser with no internet. Nothing is transmitted to us or any third party. See our privacy page for a full technical explanation.

Automatically analyzed: VB6 (.vbp, .bas, .cls, .frm), VB.NET / WinForms, ASP.NET Web Forms (.aspx, .ascx, code-behind, master pages), VB ASP.NET MVC, C# ASP.NET MVC (including multi-project .sln solutions). Requires consultation first: Microsoft Access (.mdb/.accdb) and PowerBuilder (.pbl/.pbd) — our team handles binary extraction before the analyzer takes over.

Yes. The analyzer handles .sln solution files with multiple .csproj or .vbproj projects, correctly mapping inter-project dependencies and producing a full solution-level inventory rather than analyzing projects in isolation.

Windows SmartScreen warns when an EXE does not yet have widespread download reputation — regardless of whether it is safe. The EXE is code-signed. To proceed: click “More info” then “Run anyway.” Our privacy page contains a full technical explanation of exactly what the tool does and does not do.

Run the EXE, point it at your solution root folder, and wait under 2 minutes. Two HTML reports appear in an output folder of your choosing. Review them yourself, share with your team, or bring them to a free 30-minute discovery call. There is no obligation, no upsell in the tool, and we collect no data from your scan.

Cost depends on codebase size, technology complexity, integration count, and the chosen modernization path. The Business Risk Report from our free analyzer includes three ROI scenarios with effort and cost estimates specific to your codebase. For a preliminary estimate, book a free 30-minute discovery call.

Small to medium VB6 applications (under 100,000 lines) can be migrated in as little as 1–3 months with AI-accelerated tooling. Large enterprise codebases (500,000+ lines, dozens of integrations) typically take 6 months or more. Our AI-driven approach — custom migration tooling, automated testing, and deterministic code transformation — reduces timelines by up to 90% compared to traditional manual rewrites. Read our complete VB6 migration guide for detailed timelines.

Nearshore modernization is delivered by a team in the same or adjacent timezone — for U.S. companies, typically Latin America. It provides senior-level talent at significantly lower cost than onshore-only models, with the timezone overlap and communication quality that offshore (India, Eastern Europe) models cannot match. Smart AI Modernization delivers full execution via a nearshore team.

AI eliminates the manual effort from tasks that previously consumed weeks — codebase inventory, dependency mapping, CVE scanning, documentation generation, and repetitive code transformation — reducing total project cost by up to 90% compared to traditional consulting engagements. Engineers focus exclusively on decisions requiring human judgment: architecture, business logic validation, and edge case handling.

Our AI-driven migration process has four stages. First, we go beyond the static analyzer to produce a deep AI analysis of the entire codebase — mapping every dependency, business rule, and behavioral pattern into a complete picture. Second, we use that analysis to generate a custom migration tool built specifically for your project: the transformation rules are deterministic, so the output code is produced exactly the same way every time regardless of how often you run it — no hallucination, no unpredictable variance. Third, the custom tool performs the actual code transformation. Fourth, AI automates the entire testing and verification workflow: rather than creating individual test cases to check manually, it runs the original and migrated application in parallel, automatically comparing behavior, outputs, and interactions across the full scope of functionality — accounting for planned changes in behavior identified during the initial planning phase. Human engineers oversee architecture, business logic validation, and sign-off at each stage.

Our team has worked directly with dozens of Fortune 100 companies across financial services, healthcare, manufacturing, and government — not as observers, but as the people responsible for planning and executing the modernization projects themselves. We have handled codebases ranging from 50,000-line departmental VB6 applications to 1,000,000+ line enterprise ASP.NET systems. See our case studies for specific examples.

Reach out via our contact page or book a call. We handle non-standard legacy stacks regularly. If the analyzer cannot process your files directly, our team has methods to extract code from proprietary formats before analysis begins.