Legacy Code Migration and App Modernization with GitHub Copilot

Maintaining and upgrading legacy software can be a slow, error-prone process that drains engineering resources. This course introduces you to the specialized workflows of using GitHub Copilot to streamline application modernization, helping you transition older codebases to modern standards efficiently. You will learn how to leverage AI assistance to understand, refactor, and safely upgrade software systems. By reading through this comprehensive guide, you will transform your approach to legacy code. You will discover how to use targeted prompts to analyze complex codebases, translate old languages into modern frameworks, and ensure your upgrades do not break existing functionality. What you'll learn: - Understand the core principles of AI-assisted application modernization and legacy systems. - Analyze and document undocumented or legacy codebases using targeted AI prompts. - Refactor outdated code patterns into modern, clean, and maintainable structures. - Translate legacy programming languages into modern languages and frameworks. - Generate robust unit tests to ensure functional parity before and after migration. - Apply security best practices to identify and fix vulnerabilities in AI-suggested code. Our curriculum begins with foundational concepts of modernization and software architecture before moving into step-by-step written guides on prompt engineering for code translation, refactoring, and test generation. This course is designed for software developers, system architects, and technical leads looking to modernize their systems, requiring only basic programming knowledge. Start reading to transform your legacy systems with modern AI workflows.