How Google Uses Gemini

The article discusses how to leverage Gemini to create interactive XR experiences from creative prompts, highlighting its capabilities in generating 3D web graphics and immersive simulations.

Google I/O 2026 is set to take place on May 19–20, featuring the latest AI breakthroughs and product updates from Google.

The article introduces the Automated Review feature of Conductor, an extension for the Gemini CLI that enhances AI-assisted engineering by providing validation through comprehensive post-implementa...

Google introduces extension settings for Gemini CLI, a structured configuration system that prompts users for required settings (API keys, URLs, project IDs) during extension installation.

Google has launched a hosted Data Commons MCP (Model Context Protocol) service on Google Cloud Platform, eliminating the need for local Python environments.

Google announces the public preview of the Developer Knowledge API and its associated Model Context Protocol (MCP) server, providing a canonical, machine-readable gateway to Google's official devel...

This article presents a blueprint for building trustable AI systems, demonstrated through a real-world field test at Thunderhill Raceway where Google Developer Experts built a real-time AI racing c...

LiteRT has evolved from its TensorFlow Lite foundation into a universal on-device AI inference framework, now offering production-ready GPU acceleration across six platforms and streamlined NPU int...

This article introduces Gemini CLI hooks, a customization mechanism that lets developers control and extend the agentic loop of Gemini CLI without modifying its source code.

The Universal Commerce Protocol (UCP) is an open-source standard developed by Google to facilitate seamless commerce experiences across various platforms.

The article discusses the advancements in agentic AI with Gemini 3, emphasizing its role as a core orchestrator for complex workflows.

The article introduces Conductor, a new extension for Gemini CLI that facilitates context-driven development.

The article introduces the Agent Development Kit (ADK) for TypeScript, an open-source framework that enables developers to build AI agents using a code-first approach.

Gemini 3 Flash is now available in Gemini CLI, designed to enhance high-frequency workflows in terminal-based environments.

The article introduces A2UI, an open-source project designed for agent-driven interfaces that allows agents to generate contextually relevant user interfaces.

The article discusses the transition in AI development towards stateful, multi-turn workflows with the introduction of the Interactions API and its integration with the Agent Development Kit (ADK).

The article discusses the new Session Management feature in Gemini CLI, which allows users to automatically save their sessions and resume work without losing context.

The article discusses the advancements in on-device AI powered by MediaTek's Neural Processing Unit (NPU) and the introduction of the LiteRT NeuroPilot Accelerator.

The article announces the Data Commons Gemini CLI extension, which simplifies access to a vast repository of public datasets.

The article discusses the latest updates to the Gemini API for Gemini 3, highlighting its advanced reasoning, coding capabilities, and multimodal understanding.

Google Antigravity is a new agentic development platform designed to enhance software development by allowing users to orchestrate complex tasks through AI-powered agents.

The article introduces Gemini 3, Google's latest AI model, now integrated into Jules, an autonomous coding agent for Google AI subscribers.

The article discusses the advancements in AI agents with the introduction of Gemini 3 Pro Preview, highlighting its capabilities for building sophisticated agents using open-source frameworks.

The article discusses the integration of Gemini 3 Pro into Gemini CLI, highlighting its capabilities to enhance productivity and performance in terminal operations.

The article introduces Code Wiki, a platform designed to enhance code understanding by providing continuously updated, structured documentation for code repositories.

The article discusses significant upgrades to the Gemini CLI user experience, focusing on enhancing terminal interactions to be more robust, intuitive, and visually stable.

The article discusses the limitations of traditional request-response models in AI agent development and proposes a real-time bidirectional streaming architecture as a solution.

The article introduces the Jules extension for Gemini CLI, designed to enhance coding workflows by allowing developers to offload tasks asynchronously.

The article introduces Veo 3. 1 and Veo 3. 1 Fast, which enhance video generation capabilities through the Gemini API.

The article introduces enhancements to Gemini CLI, allowing users to run complex interactive commands directly within the CLI environment.

The article announces the Genkit Extension for Gemini CLI, which enhances the development of AI applications by providing deep integration with Genkit's architecture and tools.

The article discusses how to fine-tune the Gemma 3 270M model for on-device applications, enabling developers to create custom AI models without the need for expensive hardware.

The article announces the general availability of Gemini 2. 5 Flash Image, an advanced image generation and editing model from Google.

Jules Tools is a command line interface that allows developers to interact with Google's asynchronous coding agent, Jules, directly from their terminal.

The article discusses the capabilities of Google's Gemini models in analyzing multi-spectral imagery, enabling developers to leverage complex satellite data without needing specialized models.

The article introduces Gemini for Home, a transformative platform that enhances smart home AI by replacing Google Assistant and improving device integration.

The article provides an in-depth exploration of the EmbeddingGemma architecture, detailing its origins, embedding generation process, and the comprehensive training methodology.

The article announces that Grounding with Google Maps in Vertex AI is now Generally Available (GA), enabling developers to create generative AI applications that utilize real-world, up-to-date info...

The article discusses the launch of Gemini Robotics-ER 1. 5, a state-of-the-art robotics embodied reasoning model designed for developers.

The article announces the release of updated versions of Gemini 2. 5 Flash and Flash-Lite, emphasizing improvements in quality and efficiency.

The article introduces the public release of the Data Commons Model Context Protocol (MCP) Server, aimed at enhancing access to public datasets for AI developers.

The article discusses the deployment of on-device generative AI (GenAI) using LiteRT-LM in Chrome, Chromebook Plus, and Pixel Watch.

The article discusses the integration of Gemini CLI with FastMCP, a Python library for building Model Context Protocol (MCP) servers.

The article discusses the integration of Google’s Agent Development Kit (ADK) for Java with the LangChain4j LLM framework, enabling developers to utilize a variety of Large Language Models (LLMs) f...

The article discusses the recent enhancements to the Gemini Batch API, which now includes support for the Gemini Embedding model and compatibility with the OpenAI SDK.

The article announces the release of Genkit Go 1. 0, a stable, production-ready open-source AI development framework for the Go ecosystem.

The article discusses the launch of Veo 3 and Veo 3 Fast, highlighting new features such as vertical format outputs, 1080p HD support, and reduced pricing.

This article discusses the integration of Google's EmbeddingGemma model with Google Cloud's Dataflow to create a scalable embedding pipeline for AI applications.

EmbeddingGemma is an innovative open embedding model designed for on-device AI applications, featuring 308 million parameters for efficient performance.

The article provides a comprehensive guide on how to effectively prompt the Gemini 2. 5 Flash Image generation model for optimal results.