GitHub Chat is an AI tool that helps developers understand code repositories using natural language. It can turn any public GitHub repository into a conversation: paste a GitHub link and get instant answers, code breakdowns, and insights.
In terms of main capabilities, GitHub Chat supports indexing public GitHub repositories and asking questions about indexed repositories. Its API is designed for developers, requiring only two endpoints to integrate AI code understanding capabilities into workflows: first call POST https://api.github-chat.com/verify to index a repository, making it available for conversational interaction; then call POST https://api.github-chat.com/chat/completions/sync to ask questions and get detailed AI replies. The messages array can contain conversation history, thereby supporting multi-turn conversations.
In terms of return format, the API response organizes reasoning, answers, and source context separately: it includes the AI's explanation of the problem-solving approach (the reasoning process), the answer with Markdown rich text formatting, and the repository content used by the AI when generating the answer along with metadata for each file.
In terms of usage, in addition to the REST API, GitHub Chat also supports the Model Context Protocol (MCP). It can be used with Cursor, Claude, and other MCP-compatible AI programming assistants to help instantly understand codebases. After setup is complete, simply ask the AI assistant a question, for example: "Ask GitHub Chat how to integrate with the supabase: https://github.com/AsyncFuncAI/github-chat-mcp”。
The applicable scenarios are mainly for developers to quickly ask questions and conduct research about the code structure, implementation approach, or documentation of public repositories, and it is also suitable for integrating repository question-answering capabilities into their own toolchains. The official description distinguishes it from GitHub Copilot: both help developers understand code, but their purposes are different and they can complement each other.
Regarding pricing, the range of supported platforms, and specific usage limitations, official materials are not yet available.
