Google’s new Android Bench ranks the top AI models for Android coding, with Gemini 3.1 Pro Preview leading Claude Opus 4.6 and GPT-5.2-Codex.

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 ...

In the coming weeks, Google will officially debut Android developer verification, which will require app makers outside the ...

Following the Gemini automation announcement today, Google is detailing how all this works under the hood on Android.

Overview: Developers use high-performance languages such as C++ and Rust to build AAA titles and competitive games.Cross-platform engines simplify development b ...

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

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

Extension that converts individual Java files to Kotlin code aims to ease the transition to Kotlin for Java developers.

Google Gemini cheat sheet with key features, how the models work, where it’s available on web, Android, iOS, Workspace, plus pricing and setup steps.