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The AI-Native Refactorer

The AI-Native Refactorer teaches software engineers how to modernize and improve existing code using artificial intelligence as an engineering partner. You'll learn to identify opportunities for simplification, eliminate technical debt, improve maintainability, and safely evolve legacy systems without introducing new defects. Rather than rewriting code blindly, you'll discover how to use AI to reason about design decisions, preserve system behavior, and continuously improve software quality. The result is cleaner, more resilient codebases that are easier to understand, extend, and maintain.


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What You'll Learn

  • Identify code smells that reduce maintainability and increase technical debt.
  • Use AI to analyze existing codebases and recommend safe refactoring strategies.
  • Improve readability, modularity, and overall software design.
  • Apply SOLID principles and modern design patterns to legacy code.
  • Reduce complexity while preserving existing functionality.
  • Safely refactor large codebases with confidence using AI-assisted workflows.
  • Detect duplicate code, dead code, and unnecessary dependencies.
  • Modernize legacy applications without costly rewrites.
  • Validate refactoring changes through automated testing and AI-assisted code review.
  • Develop an AI-native workflow for continuously improving software quality.

The AI-Native Refactorer

  1. 1. Long Methods

    3 lessons
    1. Long Methods Lecture
    2. Long Methods Hands-On
    3. Long Methods Quiz

  2. 2. Duplicated Code

    3 lessons
    1. Duplicated Code Lecture
    2. Duplicated Code Hands-On
    3. Duplicated Code Quiz

  3. 3. Magic Numbers and Strings

    3 lessons
    1. Magic Numbers and Strings Lecture
    2. Magic Numbers and Strings Hands-On
    3. Magic Numbers and Strings Quiz

  4. 4. Tight Coupling

    3 lessons
    1. Tight Coupling Lecture
    2. Tight Coupling Hands-On
    3. Tight Coupling Quiz