Automate assembling the perfect context for your project

Repo Prompt is designed to help developers give AI models the right context when working with real codebases.

The app provides a visual file tree that allows precise selection of files and folders across one or multiple repositories.

It includes tools like Codemaps, which generate structural summaries of code to reduce token usage while preserving meaning.

The Context Builder can automatically discover relevant files based on a described task and project structure.

Repo Prompt works with existing AI subscriptions and supports copying context for use in different AI tools.

It is compatible with multiple AI models and platforms through clipboard workflows or MCP server integration.

The app runs locally on macOS, keeping code private and processed on the user’s machine.

Additional features support measuring AI coding performance and syncing context across different AI environments.

Key Features:

Visual file selection with search and previews

Codemaps for token-efficient code summaries

Automated context discovery from project structure

MCP server integration for AI tool syncing

Local, macOS-native workflow with privacy focus