Repo Prompt - macOS Context Engineering for AI Coding
macOS-native context engineering app that lets you visually select files and code from local repos, build structured AI prompts, and apply model-generated edits with reviewable diffs.
About Repo Prompt
macOS-native context engineering app that lets you visually select files and code from local repos, build structured AI prompts, and apply model-generated edits with reviewable diffs.
Key Capabilities
Visual file tree for precise context selection from local repos
AI-powered Context Builder auto-identifies relevant files
CodeMaps reduce token usage via structural analysis
MCP server with 15+ tools for Claude Desktop, Cursor, and Claude Code
Built-in multi-model chat (OpenAI, Anthropic, Gemini, DeepSeek, Azure)
Apply Mode with reviewable diffs and machine-readable patches
Standout Features
Visual File Selection
Intuitive file tree with instant previews for selecting exactly the context AI needs.
Context Builder
AI-powered auto-identification of relevant files for your prompt.
CodeMaps
Structural analysis extracting classes, functions, and references to reduce token usage.
MCP Server
15+ specialized tools for Claude Desktop, Cursor, and Claude Code integration.
Local Processing
All processing on your Mac — code only leaves when you explicitly send it to AI providers.
Perfect for
Repo Prompt Review (2026): macOS Context Engineering for AI Coding
Hands-on Repo Prompt review covering pricing, context engineering workflow, MCP integration, CodeMaps, and comparisons with Cursor and Aider.
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