Daniel James Tronca

I use Hugging Face for researching state-of-the-art machine learning models and staying updated on the latest AI developments. While Gym Hero runs on-device AI, Hugging Face provides valuable insights into AI advancements, model optimization techniques, and future potential integrations.

I use GitHub to manage version control, track issues, and collaborate on Gym Hero’s development. With CI/CD pipelines, it ensures smooth deployments and automated testing for a stable, high-quality app experience.

I use GitHub Copilot to speed up development, generate boilerplate Swift code, and optimize algorithms. It helps me focus on Gym Hero’s core features by suggesting code completions and automating repetitive tasks.

I use vscode.dev for quick code reviews, debugging, and editing lightweight scripts.

I use Claude to brainstorm feature ideas, refine my copywriting, and explore AI-driven insights that could enhance Gym Hero’s Smart Coach.

I use Xcode 16 because it provides the latest Swift tools and MLX Swift support, making it the best environment for developing high-performance, Apple-native applications like Gym Hero.

I use MLX Swift because it enables on-device machine learning with Apple Silicon-optimized performance. Unlike other ML frameworks, MLX Swift integrates seamlessly with Swift, allowing Gym Hero to provide real-time AI insights while keeping all computations private and local.