Legacy Code Review and Modernization with AI Assistance
Turn inherited systems into evidence-backed, maintainable software with GitHub Copilot
Created by Trevoir Williams
Learn to transform legacy software into maintainable, well-documented systems using a review-first approach. You will use GitHub Copilot to uncover hidden behaviors, assess risks, and safely modernize code while protecting existing functionality. Build confidence in making changes to inherited applications with clear, evidence-based methods.
Packt | Jul 2026 | 259 min
What You Will Learn
You will follow a step-by-step workflow starting with environment setup and codebase discovery. Through guided demonstrations, you will learn to assess risk, improve tests, and use GitHub Copilot for safe refactoring and modernization. Each section focuses on gathering evidence and validating changes to ensure reliable outcomes.
Key Features
- Trace and document legacy code behavior to reveal risks and hidden business rules
- Strengthen and validate tests before refactoring or modernizing inherited systems
- Use AI coding tools responsibly to support safe, evidence-backed code improvements
Target Audience
Ideal for developers and engineers who inherit unfamiliar or poorly documented applications. If you are responsible for maintenance, technical debt, or modernization and want to use AI coding assistants responsibly, this course is for you. Basic software development and Git skills are recommended, but no advanced AI or security experience is required.
