If you want a platform that captures collective knowledge and offers contextually relevant answers to help you improve your code, /ask Swimm is worth a look. The knowledge-sharing service helps teams understand complex codebases faster by tapping into collective knowledge. It uses static analysis to understand entire codebases, including parts that aren't well documented, and offers contextually relevant answers to complex questions. That can help you work more efficiently and improve code quality by letting senior engineers focus on higher-level work.
Another good option is Sourcegraph, a code intelligence platform that includes an AI-powered coding assistant called Cody. Sourcegraph features like cross-repository code navigation, fast and accurate code search and automated large-scale code changes can help developers work more efficiently. It can be integrated with popular IDEs and supports many programming languages and code hosts. The platform can help developers quickly search, write and understand large codebases, which can help reduce errors and improve overall codebase knowledge.
For a more comprehensive service that draws knowledge from multiple sources, check out Unblocked. The service aggregates data from GitHub, Slack, Confluence and other sources to provide answers based on the codebase and internal processes. It includes features like augmented source code, contextual documentation and role-based access control. Unblocked is designed with security in mind and is in open beta testing with free access for all teams.
Last, GitHub Copilot provides powerful AI-powered help at every stage of the development process. It can help with code completion, answer questions about codebases and help you track your work by suggesting pull request descriptions. GitHub Copilot can be integrated with a variety of tools and services to help developers work more efficiently and get better code quality. It works with multiple IDEs and terminals and is trained on natural language text and public source code.