Phase 01Learn
Understand the System
We review the application, document the unknowns, map dependencies, and create the system context needed before modernization begins.
Modernize with Snyx ––
Modernize Legacy Applications Without Losing Control.
SNYX applies AI across the full modernization lifecycle so teams move faster with more control.
The challenge ––
Modernization Fails When Teams Cannot Trust the System.
Thin documentation, weak test coverage, and aging dependencies turn every change into risk. SONYX gives teams a structured way forward.
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 SNYX Solves the Challenge and Changes the Modernization Motion.
SNYX 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, Scaffold, Operationalize, and Maintain.
Modernizing software delivery —
How SNYX Extends GitHub Copilot for Large-Scale Modernization.
Innovation In action ––
SNYX Turns Modernization Into a Managed System.
SNYX gives InfoMagnus a repeatable way to direct AI across the full modernization lifecycle. Instead of asking AI to “modernize the app,” SNYX 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.
SNYX Control PlaneA repeatable way to direct AI across the full modernization lifecycle.
Unstructured ask
“Modernize the app.”
No scope. No gates. No proof.
01
Defined Tasks
The work is broken into scoped, reviewable units before any agent runs, so AI output stays bounded to something a person can actually check.
02
Controlled Workflows
Agents execute inside a defined workflow with human review built in, keeping delivery aligned to technical standards and risk controls.
03
Validated Outputs
Every change is tested and verified before it moves forward, so speed never arrives at the cost of quality, governance, or delivery confidence.
GitHub Copilot Chat
SNYX uses Copilot Chat to support code discovery, task guidance, and developer decision-making inside the modernization workflow.
Defined TasksCopilot CLI
SNYX extends guided modernization into the command line, giving developers AI support where they inspect, refactor, and manage code.
Defined TasksGitHub Copilot
SNYX uses Copilot to generate and refine code within defined modernization tasks, keeping AI output focused and reviewable.
Controlled WorkflowsCopilot Cloud
SNYX supports cloud-based agent workflows, helping teams scale modernization work across larger applications and delivery environments.
Controlled WorkflowsGitHub Actions
SNYX connects modernization work to automated validation, helping teams test changes continuously before they move closer to deployment.
Validated OutputsBuilt Around GitHubSONYX is designed to work with modern engineering tools.
enter hyperdrive with Snyx ––
Modernization Needs More Than AI. It Needs Control.
Most modernization efforts begin with fragile code, security gaps, outdated frameworks, and lost system knowledge. SNYX 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.
SNYX works inside the GitHub ecosystem, including Copilot, Copilot CLI, and GitHub Actions, so teams modernize where they already build and ship.
Our experts direct SNYX 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 SNYX.
You're all set! An InfoMagnus representative will follow-up with more details regarding your interest in InfoMagnus services and solutions.
Oops! Something went wrong while submitting the form. If the problem persists, please reach out to us at: info@infomagnus.com