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Build with Google Antigravity, our new agentic development platform
Introducing Google Antigravity, a new agentic development platform for orchestrating code. It combines an AI-powered Editor View with a Manager Surface to deploy agents that autonomously plan, execute, and verify complex tasks across your editor, terminal, and browser. Agents communicate progress via Artifacts (screenshots, recordings) for easy verification. Available now in public preview.
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.
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.
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.
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.
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...
Introducing Veo 3.1 and new creative capabilities in the Gemini API
Google is releasing Veo 3.1 and Veo 3.1 Fast, an updated video generation model, in paid preview via the Gemini API. This version offers richer native audio, greater narrative control, and enhanced image-to-video capabilities. New features include guiding generation with reference images, extending existing Veo videos, and generating transitions between frames. Companies like Promise Studios, Latitude, and Whering are already using Veo 3.1 for various applications.
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.
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.
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.