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.

ContextQA is an AI-driven testing platform designed to automate and streamline software testing. By leveraging advanced AI capabilities, ContextQA automates test case creation, execution, and maintenance, helping organizations deliver high-quality software faster. The platform's low-code/no-code approach makes it accessible to users with varying technical skills, while seamless integration with popular tools like JIRA and Jenkins ensures compatibility with existing workflows. ContextQA's features, including auto-healing and comprehensive test coverage, significantly reduce the time and effort required for effective software testing.