DeepUnit is an AI tool designed to automate the generation of unit tests for software developers. By simply executing a single command, developers can generate complete and verified test suites for their code. This solution is powered by advanced AI technologies including GPT-4, Mixtral, and LLaMa, ensuring accuracy and thoroughness in testing. DeepUnit aims to streamline the testing process, reduce development time, and enhance code reliability.

Notion Flow offers users a robust toolkit designed specifically for Notion. With its intuitive interface, you can access and manage your Notion content directly from the Chrome SidePanel. The extension supports building efficient workflows for publishing content on GitHub and includes innovative AI tools to assist in content creation and management. Whether you're a developer or a content creator, Notion Flow simplifies complex tasks, making your productivity soar while ensuring an organized workspace.

Onu is a developer-centric tool designed to convert scripts and repetitive workflows into polished, production-ready internal tools swiftly. With Onu, engineers can bypass the usual complexities of frontend development, focusing instead on backend logic. This tool is ideal for increasing automation and reducing time spent on mundane tasks, allowing for more innovative and impactful work.

The AI User Testing Agent helps automate the process of assessing and improving your website’s usability. Utilizing advanced AI technology, it analyses how users navigate and interact with your site, identifying potential issues and offering solutions to enhance the user experience. This eliminates the need for extensive manual testing and provides quick, data-driven feedback to help you make informed decisions. Perfect for web designers, developers, and marketers, this tool aims to save time, improve site functionality, and boost user engagement and conversions.

Agents with ADK is an open-source Python framework designed to streamline the creation of intelligent agents powered by large language models. It includes modular agent templates, built-in memory management, tool execution interfaces, and multi-agent coordination capabilities. Developers can quickly plug in custom functions or external APIs, configure planning and reasoning chains, and monitor agent interactions. The framework supports integration with popular LLM providers and provides logging, retry logic, and extensibility for production deployments.