AI Training Academies • AI for Legacy Modernization

Modernize Legacy Code with AI Agents

A 15-day program for enterprises with large legacy codebases. AI-assisted reading, documentation, dependency mapping, agent-driven refactoring, test generation, and a capstone on a slice of the customer's own codebase.

15
Training Days
3
Weeks
3–6
Weeks Flexible

Schedule options: Full-time (3 weeks, Mon–Fri) · Half-days (~6 weeks) · Custom cadence for global teams

Request Training Quote View Curriculum
Claude CodeClaude Code
GitHub CopilotGitHub Copilot
GitGit
GitHub ActionsGitHub Actions
IDEs & Editors
VS CodeVS Code
CursorCursor
WindsurfWindsurf
Visual StudioVisual Studio
JetBrains IDEsJetBrains
ZedZed
Customer Codebase (any language)
JavaJava
C#C# / .NET
PythonPython
TypeScriptNode/TS

Make AI Your Fastest Legacy Code Reader and Refactoring Partner

Modern AI agents have a remarkable ability to read, understand, and reason about large existing codebases. This academy trains engineers to use that ability systematically: from initial reconnaissance and documentation to incremental migration using the strangler-fig pattern, with a test safety net generated by agents every step of the way.

  • Customer Codebase Capstone
    Work on a slice of real legacy code in week 3
  • Language-Agnostic Techniques
    Adapts to Java, C#, Python, Node, or mixed stacks
  • Hands-On Labs
    Real migration tasks from week 1 onward
  • Flexible Scheduling
    Full days, half-days, or custom cadence
  • Online or On-Site
    Delivered wherever your team works
  • Session Recordings
    Review material at your own pace (online delivery)
Week 1: Read and Document

AI-assisted code reading, documentation generation, dependency mapping

Week 2: Refactor and Test

Agent-driven refactoring, test generation for untested modules, strangler-fig incremental migration

Week 3: Customer Codebase Capstone

Module migration, generated test suite, architectural documentation on the customer's own code

Academy Curriculum

Three weeks from initial codebase reconnaissance to a migrated, tested, documented module of the customer's own code.

Week1

AI-Assisted Reading and Documentation

5 full-days or 10 half-days · 35 training hours

Use AI agents to rapidly read and understand large codebases: reconstruct intent from poorly documented code, generate architectural diagrams, produce dependency maps, and create living documentation that stays in sync with the codebase.

Topics

  • Loading large codebases into agent context efficiently
  • AI-assisted intent reconstruction from legacy code
  • Automated documentation generation
  • Dependency map creation with agents
  • Architecture diagram generation (Mermaid, C4)
  • Domain model extraction from legacy code
  • Change risk scoring with agents

Lab Project

Produce a complete codebase reconnaissance report—documentation, dependency map, architecture diagram, and risk scores—for a realistic legacy Java or C# application using AI agents.

Week2

Refactoring and Incremental Migration

5 full-days or 10 half-days · 35 training hours

Apply AI agents to the hard work of modernization: generating tests for untested code as a safety net, then agent-assisted refactoring to modern patterns, and incremental migration using the strangler-fig approach.

Topics

  • AI-driven characterization test generation
  • Coverage CI gates before and after migration
  • Agent-assisted refactoring to SOLID and modern patterns
  • Strangler-fig pattern with agent tooling
  • Spec-driven migration with GitHub Spec Kit (specs as the contract for what behavior must be preserved)
  • API compatibility preservation and contract testing
  • Automated PR review for migration PRs
  • Incremental migration risk management

Lab Project

Take a legacy module, generate a characterization test suite with agents, refactor using the strangler-fig pattern, and validate with automated contract tests—all in a CI pipeline.

Week3

Customer Codebase Capstone

5 full-days or 10 half-days · 35 training hours

Apply everything from weeks 1–2 to a slice of the customer's own legacy codebase. Produce a migrated module, generated test suite, and comprehensive architectural documentation ready to share with stakeholders.

Topics

  • Customer codebase reconnaissance and scoping
  • Capstone module selection and risk assessment
  • Documentation and test generation sprint
  • Refactoring and migration with agents
  • Architectural documentation package for stakeholders
  • Rollout plan for remaining legacy modules
  • Final presentation to customer stakeholders

Capstone Deliverable

A migrated module from the customer's own legacy codebase, with a generated test suite, architectural documentation, and a phased modernization roadmap for the remainder of the system.

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