A first look at my first Mac app journey, built with 400+ commits, 2,000+ AI prompts, and tools like Claude AI & GPT. This app bridges voice control with apps like Slack and Email, evolving into a versatile chat app with custom design and coding features. Watch as I break down the process, tools, features, and why building a Mac app is a game-changer.
Chapters and Timestamps:
0:00 - Intro: My First Mac App
0:11 - Tools I’m Using: Claude AI, GPT, and More
0:26 - Why Build a Mac App? Voice to Apps Features
0:43 - Designing from Scratch with AI Models
0:57 - Generating Code with Custom Prompts
1:37 - Prototyping: Fully Interactive Apps with AI
1:56 - My Experience with Mac Development and AI
2:54 - Web Apps vs Mac Apps: Key Differences
3:49 - Tools for Mac Development: Xcode & Cursor
5:55 - Setting Up a Mac App Project in Xcode
8:00 - SwiftUI Design Language for Mac Apps
10:28 - Offline Functionality with Core Data
12:00 - Starting with AI: From Prompts to Functional Apps
16:00 - Real Challenges with AI & SwiftUI
20:00 - Debugging Errors and AI Assistance
25:00 - Using Rules & Guidelines for Organized Development
28:00 - Committing and Iterating on New Features
33:00 - Final Thoughts: Why Mac Apps Are Worth It
More Content:
What’s Unique About This App?
I wanted a seamless voice interface for apps like Slack, Email, and more, combined with the ability to generate designs and code directly. The result? A hybrid app that feels like magic.
Tools I Recommend:
Xcode: Essential for Mac app development.
Cursor: AI-powered coding assistant.
Supabase: For backend and authentication.
SwiftUI: Makes design adjustments simple and intuitive.
Key Learning Points:
Mac apps are better for offline functionality and system-level access (e.g., microphone, camera).
AI like Claude and GPT simplifies coding but requires human refinement.
Experimentation is key—errors are part of the process!
What’s Next?
I’ll share more about feature expansions, including dynamic UI updates and integrating new AI capabilities.
#swiftui #cursor #claudeai
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