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  • 2025년 11월 13일 / AI

    Making the terminal beautiful one pixel at a time

    Google has launched the redesigned **Android AI Sample Catalog**, a dedicated, open-source application to inspire and educate Android developers on building AI-powered apps. It showcases examples using both on-device (Gemini Nano via ML Kit GenAI API) and Cloud models (via Firebase AI Logic SDK), including image generation with Imagen, on-device summarization, and a "Chat with Nano Banana" chatbot. The code is easy to copy and paste to help developers quickly start their own projects.

    Gemini CLI - UI Improvements (hero image)
  • 2025년 11월 13일 / AI

    Introducing Code Wiki: Accelerating your code understanding

    Code Wiki is a new platform that tackles the bottleneck of reading existing code by providing an automated, continuously updated, structured wiki for code repositories. It features hyper-linked documentation, a Gemini-powered chat agent that understands your repo, and automated diagrams. A public preview is available for open-source projects, and a Gemini CLI extension is coming soon for secure use on private repos.

    Code Wiki Header
  • 2025년 11월 13일 / AI

    Google Colab is Coming to VS Code

    Google Colab has launched an official VS Code extension, bridging the gap between the popular code editor and the AI/ML platform. The extension combines VS Code's powerful development environment with Colab's seamless access to high-powered runtimes (GPUs/TPUs), allowing users to connect local notebooks to Colab. This aims to meet developers where they are and brings the best of both worlds.

    Data-2-banner
  • 2025년 11월 13일 / AI

    Introducing Metrax: performant, efficient, and robust model evaluation metrics in JAX

    Metrax is a high-performance JAX-based metrics library developed by Google. It standardizes model evaluation by offering robust, efficient metrics for classification, NLP, and vision, eliminating manual re-implementation after migrating from TensorFlow. Key strengths include parallel computation of "at K" metrics (e.g., PrecisionAtK) for multiple K values and strong integration with the JAX AI Stack, leveraging JAX's performance features. It is open-source on GitHub.

    Data-2-banner
  • 2025년 11월 7일 / AI

    Announcing the Agent Development Kit for Go: Build Powerful AI Agents with Your Favorite Languages

    The Agent Development Kit (ADK), an open-source, code-first toolkit for building powerful and sophisticated AI agents, now supports Go. ADK moves LLM orchestration and agent behavior directly into your code, giving you robust debugging, versioning, and deployment freedom. ADK for Go is idiomatic and performant, leveraging Go's strengths, and includes support for over 30+ databases and the Agent-to-Agent (A2A) protocol for collaborative multi-agent systems. Start building today!

    Agent Development Kit: Making it easy to build multi-agent applications
  • 2025년 11월 7일 / AI

    Announcing User Simulation in ADK Evaluation

    The new **User Simulation** feature in the Agent Development Kit (ADK) replaces rigid, brittle manual test scripts with dynamic, LLM-powered conversation generation. Developers define a high-level `conversation_plan`, and the simulator handles the multi-turn interaction to achieve the goal. This dramatically reduces test creation time, builds more resilient tests, and creates a reliable regression suite for AI agents.

    Ai-2-banner (1)
  • 2025년 11월 4일 / AI

    Agent Garden - Samples for learning, discovering and building

    Agent Garden is now available to all users to simplify AI agent creation and deployment using the Agent Development Kit (ADK). It provides curated agent samples, one-click deployment via Agent Starter Pack, and customization through Firebase Studio. It helps developers with complex business challenges and multi-agent workflows, with Renault Group cited as an early success story.

    Train a GPT2 model with JAX on TPU for free
  • 2025년 10월 30일 / AI

    Beyond Request-Response: Architecting Real-time Bidirectional Streaming Multi-agent System

    The blog post argues the request-response model fails for advanced multi-agent AI. It advocates for a real-time bidirectional streaming architecture, implemented by the Agent Development Kit (ADK). This streaming model enables true concurrency, natural interruptibility, and unified multimodal processing. ADK's core features are real-time I/O management, stateful sessions for agent handoffs, and streaming-native tools.

    ADK + Gemini CLI: Supercharge Your Agent Building Vibe
  • 2025년 10월 29일 / AI

    Introducing the Jules extension for Gemini CLI

    Introducing the Jules extension for Gemini CLI, an autonomous sidekick for developers. It accelerates coding workflows by offloading tasks like asynchronous work, bug fixes, and changes in new branches to Jules, while you stay in flow with Gemini CLI. Get started by installing the extension and using the /jules command to initiate and check task statuses.

    Jules Extension - Blog Header
  • 2025년 10월 15일 / AI

    Coral NPU 소개: Edge AI를 위한 풀 스택 플랫폼

    Coral NPU는 성능, 단편화 및 사용자 신뢰 부족 문제를 해결하는 Edge AI용 풀 스택 플랫폼입니다. 이 플랫폼은 ML 행렬 엔진을 우선하는 AI 우선 아키텍처이며 통합된 개발자 경험을 제공합니다. 초저전력 상시 가동 AI를 위한 웨어러블 기기 및 IoT를 위해 설계된 Coral NPU는 하드웨어 기반의 프라이버시 보호를 통해 상황 인식, 오디오/이미지 처리, 사용자 상호작용을 지원합니다. Synaptics는 Coral NPU를 최초로 구현한 파트너사입니다.

    blogpost