Refactoring Agent uses a multi-agent CrewAI pipeline to safely refactor codebases. One agent analyzes the code, another plans the refactoring strategy, a third implements changes, and a fourth verifies correctness by running existing tests. It handles everything from simple renames to complex architectural migrations.
Refactoring is one of the highest-risk, highest-reward activities in software engineering. Refactoring Agent reduces the risk by automating the process with built-in safety nets — every change is verified against your existing test suite before being committed.
The skill uses a CrewAI multi-agent pipeline where specialized agents collaborate: an Analyst agent identifies refactoring opportunities, a Planner agent creates a step-by-step strategy, an Implementer agent makes the changes, and a Verifier agent runs tests after each step.
From simple extract-method refactorings to complex migrations (class hierarchy restructuring, API contract changes, database schema evolution), Refactoring Agent handles it incrementally and safely.
pip install refactoring-agent
# Analyze a codebase for refactoring opportunities
refactor analyze --repo ./my-project
# Execute a specific refactoring
refactor run --type extract-method --target src/services/user.py:42-80
$ refactor run --type "extract duplicate validation logic" --target src/api/
Step 1/4: Identified 3 duplicated validation patterns across 7 files
Step 2/4: Created shared ValidationService in src/services/validation.ts
Step 3/4: Updated 7 files to use shared service
Step 4/4: All 142 tests passing ✅
Summary: Removed 280 lines of duplicated code, created 1 shared service
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