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  • NOV. 7, 2025 / 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
  • NOV. 4, 2025 / 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
  • OCT. 8, 2025 / Web

    Own your AI: Learn how to fine-tune Gemma 3 270M and run it on-device

    This guide shows you how to fine-tune the Gemma 3 270M model for custom tasks, like an emoji translator. Learn to quantize and convert the model for on-device use, deploying it in a web app with MediaPipe or Transformers.js for a fast, private, and offline-capable user experience.

    OYOAI_Metadata_RD2-V01
  • SEPT. 26, 2025 / AI

    Apigee Operator for Kubernetes and GKE Inference Gateway integration for Auth and AI/LLM policies

    The GKE Inference Gateway now integrates with Apigee, allowing enterprises to unify AI serving and API governance. This enables GKE users to leverage Apigee's API management, security, and monetization features for their AI workloads, including API keys, quotas, rate limiting, and Model Armor security.

    GfD-Apigee-IG-Blog
  • SEPT. 26, 2025 / AI

    Delight users by combining ADK Agents with Fancy Frontends using AG-UI

    The ADK and AG-UI integration enables developers to build interactive AI applications by combining a powerful backend (ADK) with a flexible frontend protocol (AG-UI). This unlocks features like Generative UI, Shared State, Human-in-the-Loop, and Frontend Tools, allowing for seamless collaboration between AI and human users.

    Screens-2-banner
  • AUG. 21, 2025 / Gemini

    What's new in Gemini Code Assist

    Gemini Code Assist's Agent Mode, now available in VS Code (Preview) and IntelliJ (Stable), streamlines complex coding tasks by proposing detailed plans for user review and approval. This intelligent, collaborative approach, enhanced with features like inline diffs and persistent chat history, aims to boost developer productivity and efficiency.

    New in Gemini Code Assist: Agent Mode more widely available, IDE improvements and Gemini CLI updates
  • JULY 24, 2025 / AI

    People of AI podcast Season 5 is here: Meet the builders shaping the future

    Co-hosted by Ashley Oldacre and Christina Warren, People of AI podcast's Season 5 will focus on the builders in the space of AI, highlighting the unique journeys, challenges, and triumphs of these innovators.

    People of AI Podcast – Season 5
  • JULY 24, 2025 / AI

    The agentic experience: Is MCP the right tool for your AI future?

    Apigee helps enterprises integrate large language models (LLMs) into existing API ecosystems securely and scalably, addressing challenges like authentication and authorization not fully covered by the evolving Model Context Protocol (MCP), and offering an open-source MCP server example that demonstrates how to implement enterprise-ready API security for AI agents.

    The Agentic experience: Is MCP the right tool for your AI future?
  • JULY 16, 2025 / Cloud

    Stanford’s Marin foundation model: The first fully open model developed using JAX

    The Marin project aims to expand the definition of 'open' in AI to include the entire scientific process, not just the model itself, by making the complete development journey accessible and reproducible. This effort, powered by the JAX framework and its Levanter tool, allows for deep scrutiny, trust in, and building upon foundation models, fostering a more transparent future for AI research.

    Stanford Marin project in JAX
  • JUNE 23, 2025 / Kaggle

    Multilingual innovation in LLMs: How open models help unlock global communication

    Developers adapt LLMs like Gemma for diverse languages and cultural contexts, demonstrating AI's potential to bridge global communication gaps by addressing challenges like translating ancient texts, localizing mathematical understanding, and enhancing cultural sensitivity in lyric translation.

    Multilingual innovation in LLMs: How open models help unlock global communication