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Android developers using the Android Studio environment can now use Gemini Pro in the built-in Studio Bot tool. This LLM replaces the tool’s pre-existing GenAI capabilities based on the older PaLM 2.

The arrival of Gemini Pro to Studio Bot in Android Studio means that developers get an improved code assistant in this app development environment. The Studio Bot name has been changed to Gemini within Android Studio.

The Android Studio IDE allows app developers to write code for Android apps. Integrated into this is an emulator to test apps on virtual Android devices running on Windows machines.

Functionality

According to Google, the arrival of Gemini Pro 1.0 in Android Studio helps developers answer a variety of questions about the mobile OS. One example is to ask the AI tool how to connect an app with the location tracking feature within Android.

Developers can also ask more project-specific questions, such as advice on removing duplicated records from a dataset on which the app in question is running.

Finally, the enhanced AI features allow Android app developers to perform more complex tasks, such as rewriting code in a new programming language and generating complete app components. The Gemini Pro 1.0 LLM is also capable of producing its own documentation explaining how the newly generated code works.

Gebruikersinterface van een softwareontwikkelingstool die verschillende projectsjablonen voor mobiele apps weergeeft.

Other advantages Gemini Pro 1.0

According to the arrival of the new LLM to Android Studio brings developers even more benefits. They can get started with it without sending along their code context in most cases.

Privacy has also been considered, as the tool basically works only on the basis of conversation history. Users can decide if they want to add additional context for more detailed or proprietary answers.

Gemini Pro in Android Studio is still in preview. Google is waiting for feedback from this version before releasing the stable version.

Also read: Gemini 1.0 Pro accessible via SQL in Google BigQuery and AlloyDB