AI & Machine Learning

How to Prepare a Legacy Codebase for AI-Assisted Refactoring

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Preparing a legacy codebase for AI-assisted refactoring requires careful planning and documentation to ensure that business logic is preserved and potential issues are identified early. Developers must define clear scope boundaries, audit dependencies, create test baselines, identify critical paths, and set up safe experimentation environments before integrating AI tools. This preparation significantly reduces the risk of introducing bugs or altering unintended behavior during refactoring.

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How to Prepare a Legacy Codebase for AI-Assisted Refactoring

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