MashuPack.

MashuPack

MashuPack transforms any local codebase or project folder into a single, structured text file optimized for AI assistants like ChatGPT and Claude. By preserving file paths, directory structure, and explicit file boundaries, it enables AI tools to navigate your code intelligently—searching, grepping, and tracing dependencies just like a developer would in a terminal. Everything processes entirely in your browser with zero uploads, ensuring your code never leaves your machine.

Product Highlights

• Zero-Server Architecture: All processing happens locally in your browser using the File System Access API—no code ever touches a remote server, guaranteeing complete data privacy.
• Smart File Exclusion: Automatically filters out binary files and non-text assets while preserving your complete directory structure and code organization.
• AI-Optimized Export Format: Generates structured text with explicit START/END file markers and full path headers, enabling AI models to navigate projects without loading everything into context at once.
• Live Token Estimation: Instantly toggle between byte counts and estimated token counts (~4 characters per token) to verify your export fits within model context windows before downloading.
• Blazing Fast Performance: Built with Rust compiled to WebAssembly running in a Web Worker, handling repositories with 28,000+ files smoothly through virtualized tree rendering.

Use Cases

• AI-Powered Code Review: Package entire repositories for Claude or ChatGPT to analyze architecture, identify bugs, suggest refactors, or explain complex codebases without context fragmentation.
• Legacy Project Onboarding: Quickly share sprawling, undocumented codebases with AI assistants to generate summaries, documentation, and dependency maps for new team members.
• Interview & Technical Assessment Prep: Convert personal projects into clean, navigable exports for AI-assisted practice explaining design decisions, trade-offs, and implementation details.

Target Audience

MashuPack serves software developers, engineering managers, and technical professionals who regularly work with AI coding assistants and need a secure, efficient way to share complete project context without compromising code privacy or wrestling with copy-paste fragmentation.