Built for Devs, Not Distractions
Lean prep for big models, done fast.
macOS
Windows
Linux
LLM‑Ready in Seconds
One click → one bundle. Copy once, prompt away.
Built with Rust. Blazing-fast.
Native Rust core via Tauri. 50 k‑file repo analysed in ≈ 1 s
Fully Local & Private
100 % offline, on‑device. Your code never touches a server.
Get LLM-Ready Code in Minutes
Follow these simple steps to prepare your codebase for AI analysis.
1. Open Project
Load your project directory into RepoSnap. Your files will be automatically watched for changes.
2. Select Code
Choose the exact files and folders you need, respecting .gitignore.
3. Analyze Tokens
Understand token counts and deselect files/folders to fit context windows effectively.
4. Export
Get concatenated code & file tree, ready for your LLM.
Visualize & Control Your Context
Master token limits with intuitive visualizations and precise counts.
Token Tracking Made Easy
Stop guessing how much context you're using. RepoSnap provides clear token counts per file and folder, plus an interactive treemap to instantly spot the heaviest parts of your codebase.
Optimize your selections to fit within LLM context windows, reduce costs, and ensure your AI analysis is focused and effective.
Intelligent Prep, Zero Fuss
From codebase to prompt, simplified and streamlined.
Focus on What Matters
RepoSnap automatically respects your `.gitignore` files, ensuring irrelevant code stays out. Selecting entire directories is a breeze.
Export not just the concatenated code, but also a clean ASCII file tree structure. Give your LLM the full picture with minimal effort.
