Android Bench ranks AI models based on their ability to complete real Android coding challenges.

For Android app developers relying on AI to code, picking the right model can be tricky. Not all models are built the same, and many are not specifically trained for Android development workflows. To ...

AI tools, love them or hate them, have been a big deal in coding and app development, and Google is now actively testing out what the best tools are for Android app development h ...

Overview:AI app builders enable faster application creation through automation and prompt-based tools.No-code platforms reduce development time while supporting ...

Google is rolling out a wave of new AI-powered tools for Android developers, led by Gemini integrations across Google Play and Android Studio. Developers can now use Gemini to translate and localize ...

The AI agent in Android Studio can now create complete new applications. The AI should also be able to handle the dependency management of existing apps.

Building a new app used to be a labor-intensive process. You’d need to set out your aims, think about your complementary functions, define your end user, and collect your data. But now, that’s no ...

Google’s Android team has released a public ranking system that scores how well different AI models handle real-world Android development tasks. Called the Android LLM Leaderboard, the tool grades ...