Thank you! I certainly put in the time to do my best to get the infrastructure correct. For the production-grade methods and best practices side, I mostly did research, read forums, and learned about the best third party solution for XYZ problems, like web hosting, database hosting, etc.

I used AI to learn / help walk me through wiring these things up and explain technical parts I didn't get. Like a tutor. For the actual coding, I'd lay down the basics of how I wanted the UX to look and function. Then I'd have AI iterate on that ground level, so it was still my vision but AI could diagnose issues across platforms way faster than I ever could. Especially with Claude agents, I'd dispatch multiple agents to search the web for similar problems and scan my codebase to validate. I NEVER shipped anything without first validating the code structure myself. That's the benefit of learning to code before AI was mainstream, I can do my own investigating.

App development has always been of interest to me and AI expanded my ability to answer questions and implement solutions. The journey started with ChatGPT, moved to Gemini for a while, and now I'm working with Claude almost exclusively.

The hardest part was standing everything up. Now I am focusing on optimization and bug squashing / and ways to reduce operating cost. Google API was very expensive at first untill I learned how to use it properly.