Refactoring

AI-powered code refactoring

Describe the refactoring you want and your AI agent restructures the code across files, preserving behavior while improving quality. Review every change in visual diffs.

AI-powered code refactoring

The Problem

Refactoring is risky and tedious

Refactoring improves code quality but is often postponed because it's time-consuming, risky, and hard to validate.

  • Manual refactoring across many files is slow and error-prone
  • IDE refactoring tools handle renames but not structural changes
  • Hard to verify that behavior is preserved after large refactors
  • Tech debt accumulates because refactoring is always deprioritized

How It Works

Refactor confidently with AI

Describe the change
1

Describe the change

Tell your agent what to refactor -- 'extract this module into a service class' or 'convert all callbacks to async/await.' It analyzes the codebase and plans the changes.

Review every change
2

Review every change

All changes appear as visual diffs in the files sidebar. Walk through each file, verify the refactoring preserves behavior, and approve or reject individual changes.

Validate with tests
3

Validate with tests

Your agent runs the test suite after refactoring. If tests fail, it analyzes the failures and proposes fixes -- all in the same session.

The Difference

Ship refactors with confidence

Without Nimbalyst

  • Spend days manually restructuring code across dozens of files
  • IDE rename tools can't handle structural changes
  • Run tests manually after each change to catch regressions
  • Refactoring gets deprioritized because it's too risky and slow

With Nimbalyst

  • Agent restructures code across files in minutes
  • Handles structural changes -- extractions, pattern changes, architecture shifts
  • Visual diffs and automated test runs validate every change
  • Refactoring happens naturally alongside feature work

Nimbalyst is the visual workspace for building with Claude Code and Codex