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  • OCT. 30, 2025 / 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
  • OCT. 15, 2025 / AI

    Introducing Coral NPU: A full-stack platform for Edge AI

    Coral NPU is a full-stack platform for Edge AI, addressing performance, fragmentation, and user trust deficits. It's an AI-first architecture, prioritizing ML matrix engines, and offers a unified developer experience. Designed for ultra-low-power, always-on AI in wearables and IoT, it enables contextual awareness, audio/image processing, and user interaction with hardware-enforced privacy. Synaptics is the first partner to implement Coral NPU.

    blogpost
  • OCT. 15, 2025 / AI

    Say hello to a new level of interactivity in Gemini CLI

    We're excited to announce an enhancement to Gemini CLI that makes your workflow more powerful a...

    Gemini CLI - Interactive Shell hero image
  • OCT. 8, 2025 / AI

    Announcing the Genkit Extension for Gemini CLI

    The new Genkit Extension for Gemini CLI gives the command line deep knowledge of Genkit's architecture. It helps you build, debug, and iterate on AI apps with intelligent code generation, context-aware assistance, and tools to run flows and analyze traces directly from your terminal.

    Gemini-CLI-Extension-for-Genkit-Blog-Meta
  • SEPT. 24, 2025 / AI

    Introducing the Data Commons Model Context Protocol (MCP) Server: Streamlining Public Data Access for AI Developers

    Data Commons announces the availability of its MCP Server, which is a major milestone in making all of Data Commons’ vast public datasets instantly accessible and actionable for AI developers worldwide.

    BLOG-HERO-A2
  • SEPT. 16, 2025 / AI

    ADK for Java opening up to third-party language models via LangChain4j integration

    The Agent Development Kit (ADK) for Java 0.2.0 now integrates with LangChain4j, expanding LLM support to include third-party and local models like Gemma and Qwen. This release also enhances tooling with instance-based FunctionTools, improved async support, better loop control, and advanced agent logic with chained callbacks and new memory management.

    adk-langchain4j
  • SEPT. 10, 2025 / AI

    Announcing Genkit Go 1.0 and Enhanced AI-Assisted Development

    We are launching 1.0 stable release of Genkit Go, empowering Go developers to build performant, production-ready AI-powered applications with Genkit. Recent enhancements include support for integrating and building MCP tools, expanding third-party model provider support, and production AI monitoring with Firebase. Additionally, we are announcing a new feature in the Genkit CLI to provide AI development tools, like the Gemini CLI and Cursor, with the latest knowledge of Genkit - supercharging Genkit development experience when using AI assistance.

    Genkit-Go-1.0-BlogMeta
  • SEPT. 9, 2025 / AI

    A2A Extensions: Empowering Custom Agent Functionality

    A2A Extensions provide a flexible way to add custom functionalities to agent-to-agent communication, going beyond the core A2A protocol. They enable specialized features and are openly defined and implemented.

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  • AUG. 1, 2025 / Cloud

    The Google Developer Program is evolving

    The Google Developer Program is rolling out major updates to make its tools and community more accessible and powerful. These enhancements include a new flexible monthly subscription tier, a centralized GDP Forum for collaboration, and increased Gemini CLI access for all members.

    The Google Developer Program is evolving: New ways to join, connect, and code
  • JULY 29, 2025 / AI

    A roboticist's journey with JAX: Finding efficiency in optimal control and simulation

    Max's journey introduces LQRax, a JAX-native LQR solver, which exemplifies the growing JAX robotics ecosystem that includes tools like Brax, MJX, and JaxSim, highlighting the benefits of JAX for computational efficiency in optimal control and simulation, and for seamlessly integrating model-based and learning-based approaches.

    JAX_meta