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Refactor

Also written: Refactoring code

Restructuring code to improve it without changing its functionality.

In plain terms

Refactoring means improving the internal structure of computer code without altering what the program actually does. Think of it like reorganizing a messy closet. You might move things around, fold clothes neatly, and put items in better places, but the clothes themselves and what you can wear don't change.

In AI, especially with coding agents, refactoring is used to make code cleaner, more efficient, or easier to understand. For example, an AI might take a piece of code that works but is hard to read and rewrite it in a more organized way, perhaps by giving variables clearer names or breaking down long functions into smaller ones. The goal is to make the code better for humans to work with later, without changing the program's output.

The expert version

Refactoring is the process of restructuring existing computer code without changing its external behavior. It is a disciplined technique for improving the design, structure, and implementation of software while preserving its functionality. Common refactoring activities include extracting methods, renaming variables, and simplifying conditional expressions.

In the context of AI agents, refactoring can be applied to the agent's own codebase to improve maintainability and performance, or it can be a task the agent performs on user-provided code. The key principle is that the observable behavior of the code remains unchanged, ensuring that tests continue to pass.

Why it matters now

Frontier AI labs are increasingly focused on developer tools and agentic systems. As these systems become more complex, the need to maintain and improve their underlying code becomes critical. Refactoring is a key practice for ensuring code quality and adaptability in rapidly evolving AI development.

Where it shows up 3 items, newest first
How each company uses it
Anthropic Claude
Anthropic's AI coding agent interacts with developers to fix bugs, implying a need for code maintenance and improvement.
Microsoft Copilot
Microsoft Copilot is directly helping update AI agents to meet current development standards, a process that often involves refactoring.
Related terms

Code generationSoftware engineeringTechnical debtCode optimizationAI agentCode review

Often confused with
Debugging
Debugging is the process of finding and fixing errors (bugs) that cau
Code translation
Code translation involves converting code from one programming
Code optimization
While refactoring can lead to optimization, its primary goal
Origin

The term 'refactoring' was popularized by the book 'Refactoring: Improving the Design of Existing Code' by Kent Beck and Martin Fowler, published in 1999. It emerged from the Smalltalk programming community and agile software development practices. Source ↗

Try this about 5 minutes

Ask an AI coding assistant like GitHub Copilot or ChatGPT to refactor a simple function you provide. For instance, give it a long 'if-else' statement and ask it to refactor it for better readability. Observe how the AI rewrites the code while ensuring it still produces the same results for given inputs.

Try it: Playbook entries that use thisPlaybook →

The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.

Questions people ask

Does refactoring change what a program does?
No, the core principle of refactoring is to improve the code's internal structure without altering its external behavior or functionality.
Why is refactoring important for AI?
For AI development, refactoring helps maintain and improve the complex codebases that power AI models and agents, making them more efficient and easier to update.

First seen on Subvolts Mar 15, 2022. Updated Oct 5, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.