GREB by Cheetah AI

Greb is a code search tool designed specifically for developers using AI coding assistants. It lets you search through your codebase using plain English instead of complex regex patterns. For example, you can ask it to 'find user authentication function' or 'show error handling examples,' and it returns the most relevant code snippets. It integrates directly with tools like Claude Code, Cursor, and Windsurf via the Model Context Protocol (MCP).

The tool works by combining lexical search precision with semantic understanding, which means it finds text matches while also grasping the meaning behind your query. It doesn't require any pre-indexing of your codebase, so results are always current. Greb claims this approach saves 30% time and reduces token usage by 20% for AI coding agents by providing more accurate context.

This is most useful for developers who regularly use AI pair programmers and need to quickly pull specific code examples into their sessions. It helps backend engineers find relevant functions faster, improves the accuracy of AI-generated code suggestions, and streamlines workflow for teams working on large, complex codebases.