A fast, straightforward, reliable tool for performing massive, automated code refactoring using custom Python patterns.
Undebt is a tool for performing massive, automated code refactoring across entire codebases. It allows developers to define custom find-and-replace rules using Python, which can be applied quickly to large volumes of code with a simple command. It solves the problem of tedious, error-prone manual refactoring by automating complex transformations reliably.
Developers and engineering teams working on large codebases who need to perform systematic, automated refactoring, such as updating syntax, migrating APIs, or enforcing coding standards.
Developers choose Undebt for its speed, reliability, and flexibility in defining custom refactoring patterns using Python, making it ideal for large-scale code transformations without manual effort.
A fast, straightforward, reliable tool for performing massive, automated code refactoring
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Enables defining complex refactoring rules using Python grammar, allowing precise transformations as demonstrated in the class inheritance example with just a few lines of code.
Designed for speed and reliability, proven by refactoring millions of lines at Yelp, making it efficient for large codebases with minimal manual effort.
Features a straightforward CLI interface, letting users apply patterns quickly with commands like 'undebt --pattern', as shown in the documentation.
Uses tokenization to match and replace code snippets accurately, reducing errors compared to plain text find-and-replace operations.
While marketed as language agnostic, the tool's examples and utilities are heavily focused on Python, making it less intuitive for other programming languages.
Writing effective patterns requires understanding token grammar and Python coding, which can be complex for users unfamiliar with these concepts, limiting accessibility.
Only a few examples are provided in the documentation, necessitating custom development for most refactoring needs, which increases initial setup time.