How to Refactor Code with Claude Code

2026-06-10 · Source: Towards Data Science · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning · Depth: Intermediate, medium

Summary

This article addresses the critical need for refactoring code when utilizing AI coding agents like Claude Code. It explains that while AI agents accelerate initial implementation, they can introduce errors and slow down over time if the codebase becomes messy. The piece emphasizes that refactoring is a natural and continuous part of a codebase's evolution, crucial for maintaining code quality and agent effectiveness. It outlines key indicators for when refactoring is necessary, such as decreased agent speed and increased bug generation. Furthermore, the article details a specific methodology for effective AI-assisted refactoring, advocating for advanced reasoning modes, single-task execution, and the integration of pre- and post-refactoring tests to ensure accuracy and prevent new issues.

Key takeaway

For AI Engineers managing codebases with coding agents, continuous refactoring is critical. You should proactively monitor for signs like slower agent performance or increased bugs. Implement a structured refactoring process using advanced AI capabilities and integrated testing to ensure code quality and maximize agent efficiency. This approach prevents technical debt and improves long-term development velocity, making your AI agents far more effective.

Key insights

Continuous code refactoring is vital for maintaining the effectiveness and accuracy of AI coding agents.

Principles

• Code naturally drifts from an ideal state.
• Refactor earlier to prevent compounding issues.
• Refactoring is a natural part of codebase evolution.

Method

Utilize advanced AI reasoning (e.g., Claude Code's Ultracode), provide detailed context, allow planning time, and implement tests for verification before and after refactoring.

In practice

• Use Claude Code's Ultracode or GPT-5.5's xhigh thinking.
• Perform only one refactoring task at a time.
• Provide example repositories for optimal structure.

Topics

• Claude Code
• AI Coding Agents
• Code Refactoring
• Software Development
• Code Quality
• Large Language Models

Best for: AI Engineer, Software Engineer, Director of AI/ML

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• Onboarding Claude Code like a new developer: Lessons from 17 years of development — Treating AI coding tools like new human developers, with structured onboarding and context, significantly enhances their effectiveness on complex codebases.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Towards Data Science.