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AI Summary

In this tutorial, Tyler AI demonstrates how to build a habit-tracking application using AI technologies, specifically focusing on Bolt.new integrated with Supabase and GitHub. The session covers the creation of a polished MVP (Minimum Viable Product) that includes user authentication, habit management, and real-time tracking functionalities. Key features of the app include email/password authentication, a 10-day tracking grid, progress tracking with completion percentage bars, and responsive design suitable for various devices. The video includes practical examples and integrates popular tools and libraries to facilitate development. Various design elements are also emphasized, including smooth animations, modern color schemes, and intuitive layouts.

Key Chapters:

  • 00:00 Introduction to the project
  • 00:23 Start Building
  • 02:23 First Build Complete
  • 02:38 Supabase Integration
  • 03:47 Authentication Signin
  • 04:48 Start 2nd Build
  • 06:38 Troubleshooting
  • 07:22 Explanation of Supabase
  • 10:12 GitHub Integration
  • 11:21 Updating Code in GitHub
  • 13:06 Testing the App on Phone
  • 13:54 Conclusion

For more resources, join the Discord community and check additional AI courses linked in the description.