AI Powered Legacy App
Modernization
Who It’s For: Mid market software teams with legacy applications built on monoliths, aging stacks, or siloed systems; especially those seeking to modernize quickly using Microsoft aligned and AI augmented engineering tools.
What They’re Facing
Aging codebases are slowing down new development
High developer overhead and unclear refactor scope
Pressure to integrate AI features, but unclear technical path
Difficulty hiring or scaling engineering resources
What We Deliver
A structured modernization playbook powered by Windsurf and Azure
A structured modernization playbook powered by Windsurf and Azure
AI driven code
AI driven code parsing, refactor mapping, and architectural upgrade paths
Reusable scaffolding
Reusable scaffolding to accelerate UI/API rebuilds
Delivery of a pilot ready
Delivery of a pilot ready module with working deployment and quality gates
Process
Discovery & Assessment
- Review legacy app architecture, languages, dependencies, and workflows
- Apply G360’s AI powered parsing tools (WindSurf, Azure AI) to assess structure and fragility
- Define target state aligned with Microsoft cloud native architecture
Refactor & Rebuild Starter Kit
- Auto generate scaffolded app structure using WindSurf
- Extract reusable UI/API components for modern framework adoption (React, .NET Core, Azure Functions)
- Embed Copilot based dev flow and GitHub workflows
Pilot Module Delivery
- Build and deploy a working slice of the refactored app
- Integrate telemetry, testing, and deployment pipelines (Azure DevOps or GitHub Actions)
- Show future extensibility for AI workflows for Fabric ready data flows
Architecture & Roadmap Delivery
- Produce a technical modernization roadmap with phased rollouts
- Include effort estimates, GitHub integration plans, and AI enablement potential
- Package all outputs into a presentation ready format for internal stakeholder alignment
Accelerators & Tools
Windsurf AI Dev Platform:
Prompt-to-code scaffolding and refactor acceleration
Azure Cloud Toolkit:
Landing zones, PaaS blueprints, deployment templates
G360 Code Quality Scorecard:
Ensures refactor output meets security, performance, and maintainability benchmarks
GitHub Copilot & Actions
Engineering velocity and pipeline automation
OpenAI Services via Azure:
Language models to assist dev, doc generation, or workflow extensions
Value Delivered
- Modern app structure that scales on Azure
- At least one functional refactored module, ready for release
- Team enabled with best practices, modern workflows, and CI/CD
- A clear, phased roadmap for future modernization including optional AI and data maturity extensions
- Ownership ready codebase and architecture with documentation