moai-workflow-ddd

Refactor legacy code without breaking existing functionality by establishing characterization tests to capture current behavior and using AST-grep analysis to guide safe, incremental structural improvements. This ensures verifiable outcomes and preserves observable behavior.

Characterization tests capture and verify the current behavior of existing code before you change it. You need them for refactoring legacy code with minimal test coverage to ensure your structural improvements do not introduce regressions.

Extract a class from a large legacy module safely by using AST-grep to analyze the codebase structure, establishing characterization tests as a safety net, and applying incremental structural improvements like method and class extraction.

AST-grep works for behavior-preserving code transformations by analyzing existing codebases to identify structural patterns. This analysis supports incremental refactoring to reduce technical debt and enhance maintainability.

You can use this approach for API migration and code modernization. It supports behavior-preserving code transformations through incremental structural improvements, focusing on safety and verifiable outcomes to reduce technical debt.

The best way to reduce coupling in a complex Python application is to apply Domain-Driven Development workflows. Analyze the code with AST-grep, establish characterization tests, and guide incremental structural improvements to enhance modularity safely.