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Tooning: AI Codebase Chat

Tooning: AI Codebase Chat

Omkar Palika

|
1 install
| (0) | Free
Convert natural language queries to TOON by indexing your entire codebase.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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🗿 Tooning: AI Codebase Chat

License: MIT Version Build Status

Tooning is an industry-grade codebase analyzer and semantic context engine. It bridges the gap between your local source code and Large Language Models (LLMs) by converting complex project hierarchies into high-density TOON payloads.


🔥 Key Features

  • 🚀 Concurrent Industrial Scanner: High-performance multi-threaded scanning using fast-glob and p-limit for instant indexing of massive monorepos.
  • 🧠 Universal Context Engine: Environment-agnostic core logic that runs identically in VS Code or any standalone terminal.
  • 💬 Interactive CLI REPL: Start a context-aware conversation with your codebase directly from your shell with toon chat.
  • 📄 Multimodal Native: Full support for PDFs and Excel sheets; documentation is indexed and prioritized alongside source code.
  • 🛡️ Security Gates: Automatic blocking of sensitive files (.env, .pem, .key) via industry-standard patterns.

🛠️ Usage

Using the CLI (toon)

Tooning is a standalone powerhouse for terminal enthusiasts:

# Initialize your configuration (Mistral, OpenAI, Anthropic, Ollama)
toon config set provider mistral
toon config set apiKey YOUR_KEY

# Start an interactive, context-aware chat
toon chat

# Generate a one-off TOON payload for external tools (Cursor/Claude)
toon encode . -q "How is concurrency handled?"

Within VS Code

  1. Install from the Marketplace.
  2. Use the Tooning panel in the Activity Bar for a rich, integrated chat experience.

🏛️ Industry-Grade Foundation

Built for production reliability:

  • IConfiguration Abstraction: Shared settings lifecycle across extension and CLI.
  • High-Fidelity Symbols: Fallback structural extraction for 10+ professional languages (Go, Rust, Python, C++, etc.).
  • Token Efficiency: Two-pass priority encoding to maximize semantic value within context windows.

⚖️ License

Distributed under the MIT License. See LICENSE for details.


Built with ❤️ for the AI-first engineering community.

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