
If you have ever attempted to build a mobile app, you know the reality: it is often a logistical nightmare.
At our agency, we have overseen the development of hundreds of applications. While web apps are straightforward, mobile development has traditionally been the bottleneck. Between app store certifications, setting up complex environments like Xcode, and testing across dozens of screen sizes, it is a maze designed to stall progress.
However, that era may be ending.
We recently tested Replit's new mobile app feature to see if the hype was real. To put it through its paces, we decided to clone Cal AI, the viral calorie tracker app.
The result? A fully functional native app in minutes, costing approximately $11 in credits.
Here is our breakdown of how this new workflow functions, how we built the app, and how you can replicate this process to build native mobile apps without touching a single line of code.
To understand the significance of this update, we must look at the traditional barriers to mobile development:
Replit has effectively removed these barriers by integrating the Expo framework and AI automation.
Replit now allows users to describe an app in plain English, and it builds a native mobile app automatically. However, simply typing a vague idea into Replit is expensive.
Here is the cost-effective workflow we utilized to build the calorie tracker:
Replit credits cost money. Therefore, we did not start by typing vague ideas into the builder.
Instead, we used a free AI tool (Gemini) to refine the logic first.
We pasted that refined prompt into Replit's "Build a Mobile App" feature. The AI immediately began generating code, setting up the database, and handling user authentication.
This is the most impressive feature. In traditional development, testing requires simulators and certificates.
Replit simplifies this significantly:
The app ran natively on the device immediately. The camera opened, permissions were requested, and the UI was responsive. No cables, no Xcode, no waiting.
AI is a tool, not magic, and our first test wasn't perfect. When we scanned an apple, the camera worked, but the calorie data was incorrect.
Here is how to handle bugs in this new era of coding:
After reloading, we scanned the apple again. The result: "Apple: 95 Calories." It worked perfectly.
If you plan to use this tool for your business, follow these rules to avoid burning through credits:
This is a fundamental shift in software development economics.
You no longer need a massive budget or a background in computer science to test a mobile concept. You simply need to be able to describe what you want clearly.
Do you have an app idea you want to launch? Book a Call with Us to Build Your App
We have probably built something similar before, let us help you