Unleashing the Power of AI in App Development
I recently built an innovative app with the assistance of Claude/AI, featuring a unique backend (Django + C#) and an iOS frontend, all deployed on a single VPS. My project showcases the future of tech integration:
- Real-Time Aircraft Tracking: Point your phone skyward to see live aircraft info overlaid on your camera.
- Community-Driven Data: Utilizes ADS-B data streamed via WebSocket for smooth performance.
- Local Infrastructure: Leveraged a powerful VPS setup without reliance on AWS or GCP—minimizing costs to $0/month.
After an extensive two-month debugging journey, I discovered that a simple scale factor issue led to major calibration headaches. Key takeaways from this experience include:
- AI excels at rapid feature development but can lead you astray in debugging.
- It’s essential to challenge your assumptions regularly.
- Choosing the right language resulted in significantly improved performance.
Curious about the tech behind the app? Check it out here: SkySpottr on the App Store.
👉 Share your thoughts and experiences with AI in app development—let’s discuss!
