Copy code, files, or entire projects with full context for ChatGPT, Claude, and other AI tools.

VS Code extension to copy codebase for AI with file paths, structure, and token count.

🔍 Keywords (for search)

copy code to chatgpt, vscode chatgpt extension, copy project for ai, copy folder as markdown, token counter vscode, prepare code for ai prompt, claude code context, llm prompt helper

💡 What this extension does

Copy for AI helps you quickly prepare your code for AI tools like ChatGPT and Claude.

Instead of manually copying files, you can:

Copy code with file path and line numbers
Copy entire folders as Markdown
Copy project structure (tree view)
See token count before sending to AI
Format output for LLM prompts

✨ Features

📋 Copy code with context (ChatGPT-ready)

Includes file path + line numbers
Perfect for debugging and explaining code with AI

📁 Copy folder as Markdown

Export multiple files into a single AI-friendly prompt
Useful for:
- ChatGPT
- Claude
- LLM tools

🌳 Copy project structure (tree)

Quickly show your codebase layout to AI
Helps AI understand relationships between files

🔢 Token counter (LLM ready)

Estimate token usage before sending
Avoid exceeding ChatGPT / Claude limits

🎨 Output formats for AI

Markdown (recommended for ChatGPT)
Plain text
XML

🚫 Exclude unnecessary files

Ignore:
- node_modules
- .git
- dist
- logs
Custom glob patterns supported

⚡ Quick access to AI tools

Open ChatGPT, Claude, Perplexity in one click

🧠 Smart Fit (AI‑optimized context)

Automatically selects the most relevant files and their dependencies to fit within your AI token limits.

Importance scoring – prioritizes files that matter most (types, configs, core logic)
Dependency graph – keeps code connected, so AI understands your project
Hybrid mode – combines importance + dependencies for the best possible context
One click – no more manual trimming, just copy folder and choose Smart Fit

🧠 Use cases

Debug code with ChatGPT
Send full project context to Claude
Generate documentation with AI
Refactor code using LLMs
Share structured code snippets

🛠 How to use