Development Setup - noktirnal42/AudioBloomAI GitHub Wiki

Development Setup Guide

This guide will help you set up your development environment for AudioBloomAI.

Prerequisites

Required Software

  • Xcode 16 or later
  • macOS 15 or later
  • Git
  • Swift 6
  • GitHub CLI (recommended)

Required Skills

  • Swift programming
  • Basic Metal knowledge
  • Understanding of audio processing concepts
  • Familiarity with Git workflow

Initial Setup

1. Clone the Repository

git clone [email protected]:noktirnal42/AudioBloomAI.git
cd AudioBloomAI

2. Install Dependencies

The project uses Swift Package Manager for dependency management. Dependencies will be resolved automatically when you build the project.

3. Environment Setup

  • Open the project in Xcode
  • Ensure the correct SDK is selected (macOS 15+)
  • Verify Swift language version is set to Swift 6

Project Structure

Core Modules

  • AudioBloomCore/: Core functionality and settings
  • AudioProcessor/: Audio processing implementation
  • Visualizer/: Visualization engine
  • Tests/: Test suites for each module

Configuration Files

  • Package.swift: Swift Package Manager configuration
  • LICENSE: Project license
  • README.md: Project overview
  • .gitignore: Git ignore rules

Building the Project

Command Line Build

swift build

Running Tests

swift test

Xcode Build

  1. Open Package.swift in Xcode
  2. Select the appropriate scheme
  3. Build using ⌘B

Development Workflow

1. Branch Management

  • Main branch: stable releases
  • Development branch: active development
  • Feature branches: new features

2. Commit Guidelines

  • Use descriptive commit messages
  • Reference issues where applicable
  • Keep commits focused and atomic

3. Testing Requirements

  • Write unit tests for new features
  • Ensure all tests pass before submitting PR
  • Include performance tests where relevant

Debugging

Tools

  • Xcode debugger
  • Metal debugger
  • Audio Unit debugging tools

Common Issues

  • Metal shader compilation errors
  • Audio processing pipeline issues
  • Performance bottlenecks

Performance Considerations

Optimization Guidelines

  • Use Metal for compute-intensive tasks
  • Implement efficient audio buffer management
  • Optimize memory usage
  • Profile regularly

Additional Resources

Documentation

Support

  • GitHub Issues for bug reports
  • Discussions for questions
  • Pull Requests for contributions