AI features in Android Studio help developers with code commenting, making it easier to understand code when working on new projects.

Developers can refine existing code in Android Studio by simply highlighting it and asking for suggestions to improve efficiency.

With the Gemini 2.5 Pro model in Android Studio, we can now provide quick responses for code completion and improve the quality of developer workflows.

The new upgrade flow in Android Studio allows developers to manage dependencies more effectively, reducing the time spent fixing issues related to changes in dependencies.

With the new app quality insights feature in Android Studio, developers can now see crash data and issues directly in their IDE, allowing them to fix problems proactively before publishing their applications.

The new journeys for Android Studio feature allows developers to run natural language tests, making the testing process more intuitive and efficient, which is crucial for ensuring app quality. Having a robust test plan is critical for Android development due to the variety of devices and screen sizes.

The current batch has a notable increase in developer tools, with about 30% more than four years ago, indicating a growing interest in building tools for AI development.

Android Studio now supports enterprise environments, allowing developers to keep corporate information secure while utilizing the latest features.

The future of Android may become more AI-centric, especially with the integration of augmented and mixed reality technologies.