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# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## Development Commands
**Prerequisites:**
- [Rust](https://rustup.rs/) (latest stable)
- [Bun](https://bun.sh/) package manager
**Core Development:**
```bash
# Install dependencies
bun install
# Run in development mode
bun run tauri dev
# If cmake error on macOS:
CMAKE_POLICY_VERSION_MINIMUM=3.5 bun run tauri dev
# Build for production
bun run tauri build
# Frontend only development
bun run dev # Start Vite dev server
bun run build # Build frontend (TypeScript + Vite)
bun run preview # Preview built frontend
```
**Model Setup (Required for Development):**
```bash
# Create models directory
mkdir -p src-tauri/resources/models
# Download required VAD model
curl -o src-tauri/resources/models/silero_vad_v4.onnx https://blob.handy.computer/silero_vad_v4.onnx
```
## Architecture Overview
Handy is a cross-platform desktop speech-to-text application built with Tauri (Rust backend + React/TypeScript frontend).
### Core Components
**Backend (Rust - src-tauri/src/):**
- `lib.rs` - Main application entry point with Tauri setup, tray menu, and managers
- `managers/` - Core business logic managers:
- `audio.rs` - Audio recording and device management
- `model.rs` - Whisper model downloading and management
- `transcription.rs` - Speech-to-text processing pipeline
- `audio_toolkit/` - Low-level audio processing:
- `audio/` - Device enumeration, recording, resampling
- `vad/` - Voice Activity Detection using Silero VAD
- `commands/` - Tauri command handlers for frontend communication
- `shortcut.rs` - Global keyboard shortcut handling
- `settings.rs` - Application settings management
**Frontend (React/TypeScript - src/):**
- `App.tsx` - Main application component with onboarding flow
- `components/settings/` - Settings UI components
- `components/model-selector/` - Model management interface
- `hooks/` - React hooks for settings and model management
- `lib/types.ts` - Shared TypeScript type definitions
### Key Architecture Patterns
**Manager Pattern:** Core functionality is organized into managers (Audio, Model, Transcription) that are initialized at startup and managed by Tauri's state system.
**Command-Event Architecture:** Frontend communicates with backend via Tauri commands, backend sends updates via events.
**Pipeline Processing:** Audio → VAD → Whisper → Text output with configurable components at each stage.
### Technology Stack
**Core Libraries:**
- `whisper-rs` - Local Whisper inference with GPU acceleration
- `cpal` - Cross-platform audio I/O
- `vad-rs` - Voice Activity Detection
- `rdev` - Global keyboard shortcuts
- `rubato` - Audio resampling
- `rodio` - Audio playback for feedback sounds
**Platform-Specific Features:**
- macOS: Metal acceleration for Whisper, accessibility permissions
- Windows: Vulkan acceleration, code signing
- Linux: OpenBLAS + Vulkan acceleration
### Application Flow
1. **Initialization:** App starts minimized to tray, loads settings, initializes managers
2. **Model Setup:** First-run downloads preferred Whisper model (Small/Medium/Turbo/Large)
3. **Recording:** Global shortcut triggers audio recording with VAD filtering
4. **Processing:** Audio sent to Whisper model for transcription
5. **Output:** Text pasted to active application via system clipboard
### Settings System
Settings are stored using Tauri's store plugin with reactive updates:
- Keyboard shortcuts (configurable, supports push-to-talk)
- Audio devices (microphone/output selection)
- Model preferences (Small/Medium/Turbo/Large Whisper variants)
- Audio feedback and translation options
### Single Instance Architecture
The app enforces single instance behavior - launching when already running brings the settings window to front rather than creating a new process.