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Refactoring Legacy Code with AI

Legacy codebases slow engineering teams, cause accidental regressions, and hurt morale. This course will teach you how to modernize your codebases safely by using AI-assisted development to improve velocity and reduce refactoring risk.

Intermediate
1h 51m

Created by Eva Ferreira

Last Updated Jul 20, 2026

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  • Course

Refactoring Legacy Code with AI

Legacy codebases slow engineering teams, cause accidental regressions, and hurt morale. This course will teach you how to modernize your codebases safely by using AI-assisted development to improve velocity and reduce refactoring risk.

Intermediate
1h 51m

Created by Eva Ferreira

Last Updated Jul 20, 2026

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What you'll learn

Working on legacy codebases slows engineering velocity, causes regressions, lowers team morale, and raises the long-term cost of change. In this course, Refactoring Legacy Code with AI, you’ll gain the ability to modernize existing systems safely and efficiently using AI-assisted development. First, you’ll explore how to assess and understand legacy code faster. Next, you’ll discover how to refactor and improve systems while reducing risk. Finally, you’ll learn how to build scalable, repeatable modernization workflows. When you’re finished with this course, you’ll have the skills and knowledge needed to improve legacy systems with greater reliability and velocity.

Refactoring Legacy Code with AI
Intermediate
1h 51m
Table of contents

About the author
Eva Ferreira - Pluralsight course - Refactoring Legacy Code with AI
Eva Ferreira
2 courses 4.1 author rating 35 ratings

Eva Ferreira is a freelance Front-End developer with a passion for teaching, currently working on CSSConf Argentina!

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