“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
VNode ITeSIntermediate
Legacy Modernization with AI Coding Agents
Legacy systems resist change when context is tribal and tests are thin. This VNode program shows how agents help with code archaeology, characterization tests, strangler patterns, and documentation recovery — while enforcing human gates for behavioral risk. Not a vendor certification offering.
Duration
16 hours
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Microsoft
ModernizationIT
Legacy Modernization with AI Coding Agents
Legacy Modernization
AI Coding
On this page
Ideal for
Software Engineer, Architect, Modernization LeadModernizationTailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Engineers on modernization or migration programs Architects designing strangler/rewrite approaches Leads responsible for legacy platform risk
Overview
Executive overview
Apply AI coding agents to characterize, harden, and incrementally modernize legacy codebases with controlled risk.
Readiness
Prerequisites
- Experience maintaining a production codebase
- Comfort with refactoring and automated tests
Program Outcomes
Capabilities your teams will gain
Use agents to map dependencies and hotspots in legacy code
Generate characterization tests before structural change
Plan incremental modernization slices with agent assistance
Recover operational knowledge into durable docs and rules
Curriculum
Curriculum roadmap
1
Legacy risk and modernization patterns
2
Agent-assisted archaeology and tests
3
Incremental change labs
4
Knowledge capture and handover
1Module 1
Legacy risk and modernization patterns
+
Module 1
Legacy risk and modernization patterns
VNode-designed module covering legacy risk and modernization patterns for enterprise AI coding adoption.
- VNode-designed module covering legacy risk
- modernization patterns for enterprise AI coding adoption
2Module 2
Agent-assisted archaeology and tests
+
Module 2
Agent-assisted archaeology and tests
VNode-designed module covering agent-assisted archaeology and tests for enterprise AI coding adoption.
- VNode-designed module covering agent-assisted archaeology
- tests for enterprise AI coding adoption
3Module 3
Incremental change labs
+
Module 3
Incremental change labs
VNode-designed module covering incremental change labs for enterprise AI coding adoption.
- Incremental change labs
4Module 4
Knowledge capture and handover
+
Module 4
Knowledge capture and handover
VNode-designed module covering knowledge capture and handover for enterprise AI coding adoption.
- VNode-designed module covering knowledge capture
- handover for enterprise AI coding adoption
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Implementation-focused labsPrivate cohort deliveryIntermediate practitioner depthBusiness outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Accelerates modernization throughput on brownfield systems while reducing accidental behavior change.
- •Map labs to your repositories, languages, and delivery toolchain
- •Emphasize Copilot, Cursor, Claude Code, Codex, or a multi-tool mix
- •Add security, governance, or champion-enablement modules for enterprise rollout
Resources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Banking & Finance
Representative Enterprise Banking Team
The focus was not just on tooling knowledge, but on helping teams work from a shared operating model as they adopted a more modern data platform.
- Clearer platform operating model across teams
- Improved confidence in modern data stack adoption
Healthcare
Representative Healthcare Product Team
The engagement helped product and engineering stakeholders move from interest in AI to clearer implementation choices, security expectations, and prototyping discipline.
- Stronger alignment between product and engineering teams
- Improved clarity on prototype-to-production requirements
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios