Opleiding: Code Modernization Using Agentic AI

Transform your legacy code into modern, maintainable, and efficient code, requirements, and tests using of Agentic AI.

Legacy code is often a challenge: it requires heavy maintenance, slows down development, and can reduce team motivation. In this training, you’ll learn step by step how to modernize a legacy codebase using Agentic AI and a structured DevOps approach.
You will learn how to:
- transform legacy code into modern, maintainable solutions,
- automatically generate tests, requirements, and backlog items,
- improve code quality through validation and advanced prompt engineering.

During the training, you will gain hands-on experience with Agentic AI by tackling a concrete challenge: migrating an existing Ruby codebase. You’ll explore different migration strategies, learn how to engage business stakeholders effectively, and apply context engineering to achieve consistent, high-quality results.
Note: This training focuses modernizing existing code bases. For starting with new projects see our AI Native Engineering Workflow training instead.
- Understand when and how to use agentic AI in your code modernization loop [Understand]
- Explain the structured DevOps approach to code modernization including instructions files, requirements, and backlog items [Understand]
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