Modernize with Sonyx ––
Modernize Legacy Applications Without Losing Control.
We use SONYX to modernize legacy applications into secure, maintainable software.
The platform applies AI across the full modernization lifecycle, including documentation, analysis, testing, refactoring, validation, and deployment, so teams move faster with more structure and control.
The platform applies AI across the full modernization lifecycle, including documentation, analysis, testing, refactoring, validation, and deployment, so teams move faster with more structure and control.
The challenge ––
Modernization Fails When Teams Cannot Trust the System.
Legacy modernization slows down when teams cannot trust the system. Thin documentation, weak test coverage, aging dependencies, and manual analysis turn every change into risk. SONYX gives teams a structured way forward. SONYX was built to change all of that and more.
Thin Documentation
Teams cannot trust what the system does because the knowledge lives in old code, scattered notes, or former developers’ heads.
Weak Test Coverage
Every change carries risk when teams cannot prove existing behavior before refactoring, replacing, or modernizing legacy components.
Aging Dependencies
Security and operational risk build up quietly when frameworks, packages, and integrations go untouched for years.
Our approach ––
How SONYX Solves the Challenge and Changes the Modernization Motion.
SONYX gives legacy modernization a clear path. It combines InfoMagnus’ proven modernization method with AI-assisted execution, turning unclear systems into planned, validated work across seven phases: Learn, Test, Stabilize, Plan, Scaffolding, DevOps, and Maintain.
We review the application, document the unknowns, map dependencies, and create the system context needed before modernization begins.
We create or strengthen automated tests so teams can detect regressions before changing the application.
We fix critical security issues, high-impact bugs, and risky dependencies before expanding modernization work.
We align the business goals, target architecture, delivery plan, and success criteria before execution begins.
We create the adapters, facades, and delivery structure needed to move from legacy to modern systems in controlled steps.
SONYX coordinates AI agents across code, tests, security, documentation, and deployment workflows with human review built in.
InfoMagnus keeps documentation, runbooks, lessons learned, and delivery artifacts current as the modernized system changes.
Modernizing software delivery —
How SONYX Extends GitHub Copilot for Large-Scale Modernization.
Innovation In action ––
SONYX Turns Modernization Into a Managed System.
SONYX gives InfoMagnus a repeatable way to direct AI across the full modernization lifecycle. Instead of asking AI to “modernize the app,” SONYX helps structure the work into defined tasks, controlled workflows, and validated outputs. That creates a stronger path for teams that need speed without losing quality, governance, or delivery confidence.
Built Around GitHub: SONYX is designed to work with modern engineering tools.
GitHub Copilot
SONYX uses Copilot to generate and refine code within defined modernization tasks, keeping AI output focused and reviewable.
GitHub Actions
SONYX connects modernization work to automated validation, helping teams test changes continuously before they move closer to deployment.
GitHub Copilot Chat
SONYX uses Copilot Chat to support code discovery, task guidance, and developer decision-making inside the modernization workflow.
Copilot Cloud
SONYX supports cloud-based agent workflows, helping teams scale modernization work across larger applications and delivery environments.
Copilot CLI
SONYX extends guided modernization into the command line, giving developers AI support where they inspect, refactor, and manage code.
Expected Gains from AI-Native Delivery with SONYX
0-70%SDLC Efficiency Gains
0%+Test & Security Coverage
0%App Mod Time Reduction
InfoMagnus SONYX delivery model and internal modernization benchmarks. Figures represent expected gains for AI-native delivery based on controlled modernization workflows, test generation, security coverage, and application modernization planning.
enter hyperdrive with Sonyx ––
Modernization Needs More Than AI. It Needs Control.
Most modernization efforts begin with fragile code, security gaps, outdated frameworks, and lost system knowledge. SONYX brings structure: human experts guide the work, AI agents execute defined tasks, and GitHub anchors delivery bridging AI-assisted modernization into structured delivery.
Organize large modernization programs into smaller, controlled workstreams so teams can move faster without losing quality, context, or control.
Support the full delivery cycle, including code, documentation, testing, validation, and deployment, so modernization connects to real engineering work.
SONYX works inside the GitHub ecosystem, including Copilot, Copilot CLI, and GitHub Actions, so teams modernize where they already build and ship.
Our experts direct SONYX agents through structured tasks, review outputs, and keep modernization aligned to business goals, technical standards, and risk controls.
Ready to Modernize Without Starting Over?
InfoMagnus can help you assess your legacy application, define the target state, and build a safer modernization path with SONYX.
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