Ultrahuman is a client health-tech startup that gives every day well-being insights to customers based mostly on biometric information from the corporate’s wearables, just like the RING Air and the M1 Reside Steady Glucose Monitor (CGM). The Ultrahuman group leaned on Gemini in Android Studio’s contextually conscious instruments to streamline and speed up their growth course of.
Ultrahuman’s app is maintained by a lean group of simply eight builders. They prioritize constructing options that their customers love, and have a backlog of bugs and wanted efficiency enhancements that take numerous time. The group wanted to scale up their output of function enhancements, and likewise wanted to deal with their efficiency enhancements, with out rising headcount. One among their largest alternatives was decreasing the quantity of effort and time for his or her backlog: each hour saved on upkeep could possibly be reinvested into engaged on options for his or her customers.
Fixing technical hurdles and boosting efficiency with Gemini
The group built-in Gemini in Android Studio to see if the AI enhanced instruments may enhance their workflow by dealing with many Android duties. First, the group turned to the Gemini chat inside Android Studio. The purpose was to prototype a GATT Server implementation for his or her software’s Bluetooth Low Vitality (BLE) connectivity.
As Ultrahuman’s Android Improvement Lead, Arka, famous, “Gemini helped us attain a working prototype in underneath an hour—one thing that will have in any other case taken us a number of hours.” The BLE implementation supplied by Gemini labored completely for syncing massive quantities of well being sensor information whereas the app ran within the background, bettering the info syncing course of and saving battery life on each the person’s Android telephone and Ultrahuman’s paired wearable gadget.
Past this core problem, Gemini additionally proved invaluable for locating algorithmic optimizations in a customized open-source library, pointing to useful documentation, aiding with code commenting, and analyzing crash logs. The Ultrahuman group additionally used code completion to assist them breeze by writing in any other case repetitive code, Jetpack Compose Preview Technology to allow speedy iteration throughout UI design, and Agent Mode for managing complicated, project-wide modifications, equivalent to rendering a brand new stacked bar graph that mapped to backend information fashions and UI fashions.
Reworking productiveness and accelerating function supply
These enhancements have saved the group dozens of hours every week. This reclaimed time is getting used to ship new options to Ultrahuman’s beta customers 10-15% quicker. For instance, the group constructed a brand new in-app AI assistant for customers, powered by Gemini 2.5 Flash. The UI design, structure, and elements of the person expertise for this new function had been initially recommended by Gemini in Android Studio—showcasing a full-circle AI-assisted growth course of.
Speed up your Android growth with Gemini
Gemini’s skilled Android recommendation, carefully built-in all through Android Studio, helps Android builders spend much less time digging by documentation and writing boilerplate code—releasing up extra time to innovate.
Learn the way Gemini in Android Studio may help your group resolve complicated points, streamline workflows, and ship new options quicker.