Refactoring large codebases is often difficult because developers first need to identify where effort will have the biggest impact. AI Refactoring Assistant helps teams quickly find methods that deserve attention and prepares them for AI-assisted refactoring.
Instead of manually scanning code and metrics, CppDepend highlights the methods that most need refactoring and lets developers open the AI Prompt Builder to instantly generate a structured refactoring prompt for the selected method.
The AI Refactoring Assistant provides a dedicated view of methods that should be improved first. It helps developers focus on the most relevant candidates using code quality and maintainability indicators already available in CppDepend.
This makes it easier to decide where refactoring effort will improve maintainability, readability, and design quality the most.
Once a method is selected, CppDepend opens the AI Prompt Builder with a prompt prepared specifically for refactoring. The generated prompt can include the method signature, the method body, refactoring goals, formatting guidance, and safety constraints.
This gives developers a ready-to-use prompt they can send to an AI coding assistant without rebuilding the context manually.
AI Refactoring Assistant creates a direct workflow between code analysis and code improvement. Developers no longer stop at identifying a problem. They can move immediately from a quality finding to a focused AI prompt designed to help refactor the chosen method.
This reduces friction, saves time, and makes AI-assisted refactoring more practical for everyday development.
The feature fits naturally into the CppDepend experience. Teams can review candidates for refactoring, inspect supporting metrics, and generate prompts without leaving the analysis workflow.
By combining method prioritization with structured AI prompt generation, AI Refactoring Assistant helps teams refactor code more confidently and more efficiently.