AI-Assisted Legacy Code Review and Modernization

AI-Assisted Legacy Code Review and Modernization

https://WebToolTip.com

Published 7/2026
Created by Trevoir Williams
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 71 Lectures ( 4h 25m ) | Size: 3.5 GB

Use GitHub Copilot to review legacy code, document behavior, generate tests, triage risks, and modernize safely.

What you'll learn
⚡ Use AI tools such as GitHub Copilot to support structured code review work.
⚡ Review inherited codebases efficiently using AI assistance
⚡ Create reusable prompts for code review, feature review, risk triage, and modernization planning.
⚡ Summarize code structure and trace feature workflows with AI assistance.
⚡ Identify hidden business rules, role assumptions, validation behavior, and undocumented workflow expectations.
⚡ Build a technical debt register that separates evidence, impact, severity, and recommended action.
⚡ Use AI to identify security, privacy, access control, dependency, and modernization readiness concerns.
⚡ Generate and review unit, integration, browser-level, and manual tests.
⚡ Refactor small code seams safely using AI assistance.
⚡ Prepare useful pull request summaries and AI-assisted review packages.
⚡ Review AI-generated modernization plans before accepting, revising, or rejecting them.
⚡ Apply AI responsibly by verifying findings through code, tests, behavior, and human judgment.

Requirements
❗ Basic C# and .NET experience.
❗ Basic familiarity with ASP.NET Core MVC or web application structure is helpful.
❗ Basic Git and GitHub knowledge.
❗ Ability to open, build, and run a .NET project using Visual Studio, Visual Studio Code, Rider, or the .NET CLI.
❗ Access to GitHub Copilot or a similar AI coding assistant is recommended for hands-on practice.
❗ No advanced AI, cybersecurity, or legacy modernization experience is required.