Best AI Code Refactoring Tools

DeepSource is an AI-powered code review platform designed to help development teams maintain high-quality, secure, and reliable code. The platform automates code reviews using a hybrid approach that combines static analysis with advanced AI agents. It integrates directly with development workflows through platforms like GitHub, GitLab, Bitbucket, and Azure DevOps. DeepSource analyzes pull requests in real time, identifying bugs, security vulnerabilities, code complexity issues, and maintainability risks before code reaches production. The system provides structured feedback and inline comments to help developers quickly understand and resolve issues. Additional features such as secrets detection, dependency vulnerability scanning, and infrastructure-as-code review strengthen application security. By automating repetitive review tasks and providing intelligent insights, DeepSource enables teams to ship software faster while maintaining strong code quality standards.

Reduce 1000s of hours of static code analysis fixes to minutes. Patch security vulnerabilities across 100s of repositories at once. Moderne automates code remediation tasks for you, enabling developers to deliver more business value all the time. Automatically make safe, sweeping changes to your codebase that improve the quality, security, and cost of code. Manage dependencies of your software supply chain, keeping software up to date continuously. Alleviate code smells automatically without all the scanning noise of SAST and SCA tools. Work in high-quality code all the time. Find and fix CVEs automatically across repositories, it's the ultimate shift left for security. The reality of modern applications is that they naturally accrue technical debt. They are composed of large and diverse codebases and ecosystems, and a supply chain of custom, third-party, and open-source software.

Jedi is a static analysis tool for Python that is typically used in IDEs/editors plugins. Jedi has a focus on autocompletion and goto functionality. Other features include refactoring, code search and finding references. Jedi has a simple API to work with. There is a reference implementation as a VIM-Plugin. Autocompletion in your REPL is also possible, IPython uses it natively and for the CPython REPL you can install it. Jedi is well tested and bugs should be rare. A Script is the base for completions, goto or whatever you want to do with Jedi. The counter part of this class is Interpreter, which works with actual dictionaries and can work with a REPL. This class should be used when a user edits code in an editor. Most methods have a line and a column parameter. Lines in Jedi are always 1-based and columns are always zero based. To avoid repetition they are not always documented.