Moddy is an AI agent developed by Moderne, tailored to manage and modernize extensive codebases spanning multiple repositories. By integrating natural language processing with Moderne's Lossless Semantic Tree (LST) data model, Moddy offers developers the capability to navigate, analyze, and refactor vast amounts of code seamlessly. This tool addresses the challenges of maintaining and updating legacy systems, ensuring code remains secure, up-to-date, and efficient. Unlike traditional AI coding assistants limited to single repositories, Moddy operates across numerous repositories, enabling comprehensive code transformations at scale.
Automating large-scale code refactoring across multiple repositories.
Identifying and rectifying security vulnerabilities within extensive codebases.
Upgrading dependencies and frameworks systematically across projects.
Enhancing developer productivity by reducing manual code maintenance tasks.
Moddy demonstrates high autonomy through its ability to analyze and execute code transformations across multiple repositories without requiring continuous human intervention. It leverages deterministic OpenRewrite recipes and lossless semantic trees (LSTs) to autonomously identify code patterns, cluster results, and apply fixes at scale. The integration with LLMs enables natural language interaction for task initiation, while the system handles complex dependency mapping and cross-repository analysis automatically. However, final implementation decisions for critical changes still require human validation.
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