A Google az Android Dev Summit rendezvényen bejelentette az Android Studio BYOA (Bring Your Own Agent) funkcióját. Az Agent Client Protocol (ACP) segítségével a fejlesztők több mint 40 különböző kódoló ügynököt futtathatnak közvetlenül a fejlesztői környezetben, köztük az Anthropic Claude Agentjét és az OpenAI Codex modellt az Android Studio fejlesztői eszköztárban.
Az új fejlesztői eszköztár része a Change Review kódellenőrző funkció, amely elemzi a módosításokat, hibajelentéseket készít és elmagyarázza a változtatásokat. A frissített parancssori eszközzel (CLI) az AI-ügynökök a terminálban is megjeleníthetik a felület előnézetét, amivel a tesztek alapján 77 százalékkal gyorsabban végzik el a felületekkel kapcsolatos feladatokat.
Ezzel párhuzamosan elindult az Agentic API alfa verziója, amely a Gemini Nano 4 modellt használva teszi lehetővé az appon belüli feladatkezelést, míg a Connected Apps Platform révén a külső alkalmazások funkciói közvetlenül összekapcsolhatók a Gemini rendszerével.
Az eredeti szöveg (The Decoder)
Google is centering its development environment around AI agents at the Android Dev Summit. The updates include integrations for Anthropic and OpenAI models, new APIs for local smartphone agents, and a pair of smart glasses.
Google introduced updates for its developer tools and system APIs at this year's Android Dev Summit. Opening up the Android Studio development environment was the main focus.
With Android Studio Rabbit 2, Google is launching a "Bring Your Own Agent" (BYOA) feature. Developers are no longer limited to Google's own AI tools. Instead, they can use the open Agent Client Protocol (ACP) to run more than 40 different coding agents directly in the IDE.Ad
Developers can install and simultaneously run Anthropic's Claude Agent, OpenAI's Codex, and Google Antigravity through the built-in marketplace. These agents get direct access to IDE tools like project structure, symbol resolution, the emulator, and the Logcat system.Ad
Google also released version 2.0 of the Android Bench leaderboard to measure AI model performance on complex tasks. It evaluates language models on multi-day development projects based on functionality, time spent, and cost.
AI-generated code changes often get messy, so Google is adding a code verification tool called Change Review. It analyzes pending changes, generates bug reports, and explains modifications step by step. The Android Studio Canary preview also adds a migration assistant that automatically translates older XML layouts into Jetpack Compose. Meanwhile, Google is testing Lightbuild, a declarative build system based on a YAML schema that both humans and AI agents can read and edit.Ad
Google expanded the Android CLI command-line tool for developers who run their agents in the terminal or in CI pipelines. It is now available as an official agent plugin for Claude Code, OpenAI's Codex, and Google Antigravity.
New commands let AI agents render Compose previews in the terminal to visually check UI changes without booting up an emulator. Internal Google tests show agents finished UI tasks 77 percent faster and used up to three times fewer tokens with this feature. The CLI also supports streaming physical test devices from Google labs so agents can investigate device-specific bugs.Ad
Debugging and performance analysis got new features too. Google built the open-source LeakCanary memory leak detection library into both the CLI and the Android Studio Profiler. The system evaluates heap dumps on the computer instead of the mobile device, which keeps the app from slowing down during testing. In a Google A/B test using Anthropic's Claude Opus 5.5 model, the CLI tool helped find and fix memory leaks nearly twice as fast while cutting token usage by about 25 percent.Ad
Other command-line tools let agents capture system traces via the Android Performance Analyzer, pull crash reports from Firebase Crashlytics, or check code optimization through the R8 compiler. Language models often lack training on the newest APIs, so Google now provides over 30 Android Skills. These feed documentation to agents for tasks like checking Google Play policies before app submission, handling permission security issues, or adapting layouts for foldables and laptops branded as Googlebooks.
Beyond developer tools, Google is shipping new APIs to build agent features into apps or connect apps to system agents. For local on-device processing, Google is adding an alpha Agentic API powered by Gemini Nano 4 to its ML Kit. This interface automatically executes functions, saves chat history, manages the orchestration loop, and provides safety filters.
Google is using the Model Context Protocol (MCP) and launching the AppFunctions API in beta as a unified tool-calling layer so apps can share functions with local or system-wide agents. The new alpha Agent-to-UI (A2UI) interface for Jetpack Compose builds on this. Instead of replying with plain text blocks, agents can display interactive user interfaces built from the spec