RepoAgent is an AI framework that transforms any code repository into an interactive knowledge base. It indexes source files, functions, classes, and documentation into a vector store, enabling fast retrieval and context-aware responses. Developers can ask natural language questions about code functionality, architecture, or dependencies. It supports automated code summarization, documentation generation, and test case creation by integrating with LLMs. RepoAgent also analyzes issues, pull requests, and commit history to provide insights on code quality and potential bugs. Its modular design allows customization of retrieval pipelines, model selection, and output formatting. By embedding directly into CI/CD pipelines or IDEs, RepoAgent streamlines development, reduces onboarding time, and boosts team productivity.

Sage AI provides a symbol-level, deeply contextualized knowledge base to streamline the management and comprehension of large, complex, or aging codebases. It offers autogenerated documentation, reference guides, and walkthroughs. By maintaining itself, Sage AI allows developers to focus more on actual development work, reducing onboarding time and facilitating knowledge sharing effectively. With features like in-built chat, it de-silos team and individual knowledge, making it an invaluable tool for maintaining expertise across various systems.