moai-workflow-ddd

Automate legacy code refactoring with characterization tests and incremental transformations.

Updated Apr 26, 2026
One-click install
npx skills add https://github.com/gkswls5006-web/last-todo --skill moai-workflow-ddd-gkswls5006-web
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-workflow-ddd
Source: https://github.com/gkswls5006-web/last-todo/tree/main/.claude/skills/moai-workflow-ddd
Command: npx skills add https://github.com/gkswls5006-web/last-todo --skill moai-workflow-ddd-gkswls5006-web

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Domain-Driven Development workflow for refactoring legacy code without altering observable behavior, guiding teams through ANALYZE-PRESERVE-IMPROVE cycles to reduce technical debt.

Core Features & Use Cases

  • Characterization tests to capture current behavior before changes.
  • Incremental transformation steps with continuous verification.
  • Domain boundary identification and dependency analysis to guide safe refactors.

Quick Start

Initiate a DDD refactor by evaluating current code, preserving behavior with characterization tests, and outlining incremental improvements.

Frequently Asked Questions about moai-workflow-ddd

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I safely refactor legacy code without changing its observable behavior?

Characterization tests capture the current behavior of legacy code before any changes are made. They act as a safety net by locking in existing outputs, allowing you to perform incremental transformations while continuously verifying that observable behavior remains preserved.

When should I use a DDD workflow for refactoring?

You can start a DDD refactor by evaluating your current code, preserving its behavior with characterization tests, and outlining incremental improvements. This step-by-step process ensures continuous verification during the incremental transformation of your legacy codebase.

Does this refactoring approach work for codebases without existing tests?

This approach is designed for mid-to-large codebases with existing tests. However, it directly addresses behavior preservation by generating characterization tests to capture current behavior, effectively creating the safety net required before structural improvements begin.

What is the best way to reduce technical debt in a large codebase without breaking functionality?

The best way to reduce technical debt without breaking functionality is applying an incremental refactoring workflow. It preserves behavior by creating snapshots and characterization tests, ensuring that structural changes are continuously validated against existing domain logic.

Can ast-grep be used for behavior-preserving transformations during refactoring?

Ast-grep is included in this refactoring workflow to support structural code analysis and transformations. It assists in the incremental improvement phase by helping identify and modify code patterns while maintaining the behavior snapshots captured earlier.