AI can help build surprisingly capable apps—if you know how to steer it in the right direction. Follow my tips to save yourself time and frustration.

What happens when you let AI create a game app without touching code? The answer exceeded all my expectations.

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.

The first app, Shots Studio, is an AI-powered screenshot manager that is the closest alternative to Pixel Screenshots on the ...

Google introduces Android Bench to rank AI models on real-world coding tasks, with Gemini 3.1 Pro currently leading for app ...

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 ...

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

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

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...

Rajesh started following the latest happenings in the world of Android around the release of the Nexus One and Samsung Galaxy S. After flashing custom ROMs and kernels on his beloved Galaxy S, he ...