"LLM flexibility allows developers to select which LLM powers AI features in Android Studio. While the IDE includes a default Gemini model, developers can now integrate a separate remote model, including OpenAI's GPT and Anthropic's Claude, or run a local model using providers like LM Studio or Ollama. Local models are particularly useful for developers with "limited internet connectivity, strict data privacy requirements, or a desire to experiment with open-source research","
"Android Studio Otter also enhances agent mode by letting it "see" and interact with apps. This includes the ability to deploy and inspect an app on a device or simulator, debugging the app's UI by capturing screenshots and analyzing what is on screen, and checking Logcat for errors. Another major feature in Android Studio Otter is support for natural language testing through "journeys", which allows developers to define user journey tests in plain English, with Gemini converting those instructions into executable test steps."
"Developers who prefer Gemini can now use their own Gemini API key to access more advanced versions, as well as expanded context window and quota, which can be important when running long coding sessions using agent mode. This not only makes your tests easier to write and understand, but also enables you to define complex assertions that Gemini evaluates based on what it "sees" on the device screen."
Android Studio Otter introduces configurable LLM support that lets developers choose which model powers IDE AI features. The IDE retains a default Gemini model while enabling integration of remote models such as OpenAI's GPT and Anthropic's Claude or local models via providers like LM Studio and Ollama. Local models address limited connectivity and stricter privacy needs but require substantial RAM and storage. Developers can supply a Gemini API key to access advanced versions, larger context windows, and increased quota. Agent mode now interacts with devices and simulators for deployment, UI screenshot debugging, and Logcat inspection. Natural-language "journeys" convert plain-English user journeys into executable tests and allow complex, on-screen assertions for more resilient testing.
Read at InfoQ
Unable to calculate read time
Collection
[
|
...
]