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

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.

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 Android Studio Narwhal feature drop includes numerous AI enhancements and tools to improve developer workflows and memory efficiency.

AI tools can help me code faster by allowing me to describe changes I want, like implementing a dark mode, and they will edit the code accordingly.

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.

AI tools will make it easier to generate low-level code, improving autocomplete capabilities and potentially producing high-quality code.

AI tools can help compensate for the lack of comments in code, but they shouldn't replace the need for good documentation.

The AI can serve as a teacher, helping less experienced developers understand code implementations by explaining them line by line, which is more effective than traditional resources like Stack Overflow.