How it works

How it works

1. Code insights with AI Assistance

CodeLaser Refactor combines comprehensive static analysis with AI guidance to provide safe, large-scale refactoring opportunities for Java codebases.

Code modelling

Complete type dependency graphs across your entire codebase.

Package-level architectural health assessment (abstractness vs instability)

Usage pattern analysis for informed refactoring decisions

External library impact assessment

Smart Discovery

Natural language code search using embeddings

Pattern-based type and method discovery

Call path computation for impact analysis

Naming convention analysis and suggestions

Codebase Understanding

AI analyzes your specific code patterns and conventions

Suggestions based on existing architectural patterns, based on codebase analysis

Contextual recommendations for refactoring opportunities

2. Planning and execution

The refactoring workflow consists of distinct phases: comprehensive code analysis to identify transformation opportunities, detailed planning with step-by-step execution plans if required, optional human review and finally isolated application of changes on separate code branches.

1

Analyze


CodeLaser Refactor identifies architectural patterns and potential refactoring targets

Generates package-level metrics and coupling analysis

Creates searchable indexes for code discovery

2

Plan

Work with your favorite coding agent to define refactoring goals using natural language

CodeLaser Refactor generates detailed execution plans with step-by-step actions

3

Review


Preview all changes with complete context and impact analysis

Web dashboard displays visual diffs and change summaries

Customize plans by selecting/deselecting individual steps

4

Execute

Apply changes atomically with full rollback capability

Continuous build validation throughout execution

Git integration with automatic branch management

Detailed execution logs for audit trails


A Conversation example

You: "I want to extract an interface from my UserService class"

AI agent: "I'll help you extract an interface from UserService. Let me analyze the dependencies first."
[AI uses Refactor MCP server to analyze UserService and finds 23 dependent classes]

AI agent: "I've created a some refactoring plans to extract IUserService interface. The optimal one will affect 23 classes across 8 packages. Would you like to review the plans before execution?" [AI presents link to Interactive dashboard showing detailed plan with visual diffs]

You: "Your proposed plan looks good, but skip the test file updates for now"

AI agent: "I've updated the plan to exclude test files. Ready to execute the remaining 156 changes?"

You: "Go ahead !"

AI agent: "I have made the planned changes, and created a branch called 'UserService interface extraction' for you to review"

Try CodeLaser Refactor

CodeLaser Refactor is now available as a free download