Sourcebot is a powerful tool designed for fast code indexing and searching across codebases, particularly those hosted on GitHub and GitLab. It is built on the Zoekt search engine, which is known for its speed and efficiency. The tool is packaged as a single Docker image, making it easy to deploy and use. Users can search through millions of lines of code in their repositories, whether they are public or private, and the software is licensed under the MIT license. One of the standout features of Sourcebot is its one-command deployment capability, allowing users to get started quickly with a simple Docker command. The tool supports multi-repository searches, enabling users to index and search through multiple repositories seamlessly. It also offers full file visualization, allowing users to view entire files directly from search results. The interface is modern and user-friendly, featuring syntax highlighting, light and dark modes, and vim-style navigation. To begin using Sourcebot, users can run a Docker command that pulls the latest image and starts the web server on their local machine. The setup process involves creating a configuration file that specifies which repositories to index. This configuration can be tailored to include specific repositories from GitHub or GitLab, and users can easily manage their settings through a dedicated workspace. For indexing private repositories, users need to provide an access token. For GitHub, this involves generating a Personal Access Token (PAT) with the appropriate permissions, while for GitLab, a similar token is required. The tokens must be passed as environment variables when running the Docker container. Sourcebot also includes telemetry features that collect anonymized usage data to improve the tool's performance and reliability. Users have the option to disable telemetry if they prefer not to share any usage data. Overall, Sourcebot is a robust solution for developers looking to enhance their code search capabilities, providing a fast, efficient, and user-friendly experience for managing and searching through large codebases.