Archivist: AI Powered Code Search is a cutting-edge extension designed to revolutionize the way developers interact with their codebases. This AI-powered search engine and assistant is engineered to provide blazingly fast search capabilities, enabling developers to quickly find and understand code snippets without the usual hassle of navigating through extensive code libraries.

Setting up Archivist is a breeze, taking only a few minutes to configure and start using. Once installed, the extension automatically indexes your codebase, ensuring that queries are processed in milliseconds. This lightning-fast response time is crucial for developers who need to maintain focus and productivity without being slowed down by lengthy search operations.

One of the standout features of Archivist is its ability to automatically summarize and explain matched code snippets in a concise and straightforward manner. This not only speeds up the search process but also enhances understanding, making it easier for developers to grasp the functionality of the code they are searching for. As you edit and save files within your codebase, Archivist dynamically updates its index, ensuring that search results are always accurate and up-to-date.

Security and privacy are paramount, and Archivist ensures that your code and personal data remain confidential. The extension never stores your code or any other personal data, providing peace of mind to developers who value their intellectual property and privacy.

To get started with Archivist, simply open a codebase that has not been indexed. The extension will create a .archivist directory containing a config.json file, where you can configure files to be excluded from search using gitignore syntax. Once you have added any necessary exclusions, navigate to the Archivist extension and click Index Codebase. The extension will then begin indexing your code, a process that typically takes just a few minutes.

Once indexing is complete, you can start querying your codebase by typing any query into the search bar and hitting enter. As you make edits and save files, these changes will instantly become searchable, ensuring that your search results are always current and relevant.

Archivist currently supports indexing for a range of popular programming languages, including Python, Java, TypeScript, JavaScript, TSX, and JSX. Files not comprised of these languages will be ignored during indexing, ensuring that the search results are focused and relevant. The development team is committed to expanding support for newer languages, with the list of supported languages set to grow significantly in future versions.

In summary, Archivist: AI Powered Code Search is an indispensable tool for developers looking to streamline their workflow and enhance their productivity. With its fast indexing, dynamic updating, and privacy-focused design, Archivist is the ultimate companion for anyone working with large codebases. Whether you're a seasoned developer or just starting out, Archivist will help you focus on coding without having to delve through mountains of code.