Description
Refactoring Legacy Code with AI. This course teaches software engineers and technical teams how to safely, quickly, and structuredly update legacy code using AI-driven development. Working on legacy code slows down engineering teams, increases errors, demotivates teams, and increases the long-term cost of change. In this course, learners will gain the skills to safely and efficiently modernize existing systems using AI-assisted development. In the first part, you will learn how to evaluate and understand legacy code faster. Next, you will discover ways to refactor and improve systems while reducing potential risks. Finally, you will learn how to build scalable and repeatable workflows for system modernization. After completing this course, you will have the skills and knowledge to upgrade legacy systems with greater reliability and speed.
What you will learn
- Evaluate and understand old and complex code faster with the help of modern tools
- Modernize legacy code in a safe manner to prevent unwanted errors from occurring in the system
- Rewrite and improve the structure of systems while reducing the risks associated with code changes
- Create and implement scalable and repeatable workflows for updating software infrastructure
- Increase the speed of engineering development and reduce long-term software maintenance costs
- Leveraging AI-assisted development to optimize the performance of technical teams
This course is suitable for people who:
- Software developers and programmers who deal with old and complex code
- Software engineers looking to increase team velocity and reduce errors caused by code rewrites
- Technical managers and development team leads who want to optimize the systems modernization process
- People who want to use AI to manage and improve legacy systems in a secure way
Course details
- Publisher: Pluralsight
- Instructor: Eva Ferreira
- Education level: Intermediate
- Training duration: 1 hour and 51 minutes
Course headings
Images from the Refactoring Legacy Code with AI course
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
252 MB