How Google Uses Google Cloud

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...

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.

The article discusses the importance of protecting sensitive data during processing in cloud environments, introducing Google Cloud's Confidential Space as a solution.

The article discusses the JAX AI Stack, a modular framework for building production AI models on Google Cloud TPUs.

The article announces the addition of Go to the Agent Development Kit (ADK), an open-source toolkit for building AI agents.

Agent Garden is a platform designed to facilitate the development and deployment of AI agents, making it accessible to all users, not just those on Google Cloud.

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 discusses building high-performance data pipelines using Grain, a data loading library for JAX, and ArrayRecord, an efficient file format.

The article introduces Tunix, a new open-source, JAX-native library designed for post-training of large language models (LLMs).

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 integration of the Apigee Operator for Kubernetes with the GKE Inference Gateway to enhance API management for AI and Large Language Models (LLMs).

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 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.

The article introduces Gemma 3 270M, a compact AI model designed for hyper-efficient task-specific fine-tuning.

The article discusses the evolution of the Google Developer Program, highlighting new features that enhance access to AI tools, community engagement, and productivity for developers.

The article discusses the integration of AI into existing API ecosystems, focusing on the Model Context Protocol (MCP) and its role in enhancing security, scalability, and governance.

The article announces the availability of Veo 3 in the Gemini API and Vertex AI, highlighting its capabilities in generating high-quality videos with synchronized audio.

Stanford's Marin project introduces the first fully open foundation model developed using JAX, emphasizing transparency in the scientific process behind AI models.

This article provides a comprehensive guide on using the logprobs feature in the Gemini model on Vertex AI, enabling developers to gain insights into the model's decision-making process.

The article discusses the Apigee API hub and Developer Portals, highlighting their distinct roles in creating an effective API ecosystem.

The article discusses advancements in Firebase Studio that enhance the development of agentic AI applications.

The article announces the general availability of the new Python client library for Data Commons, enhancing access to a vast array of public statistical data.

Google Cloud has donated the Agent2Agent (A2A) protocol to the Linux Foundation, marking a significant step towards creating an open and interoperable ecosystem for AI agents.

The article announces the general availability of Gemini Code Assist in Apigee API Management, highlighting its AI-assisted capabilities for API development.

The article discusses the essential role developers play in data-driven marketing, emphasizing the need for effective data management and analysis tools.

The article discusses significant updates to Google's intelligent agent ecosystem, focusing on the Agent Development Kit (ADK), the Agent Engine UI, and enhancements to the Agent2Agent (A2A) protoc...

The Google I/O 2025 Developer keynote highlighted innovations across Google platforms, focusing on the integration of AI models from Google DeepMind.

The article announces the reimagined AI-first Google Colab, which enhances the coding experience by integrating an agentic collaborator that understands user intentions and actions.

Google Cloud has announced the general availability of the Apigee APIM Operator, which enhances API management capabilities within Google Kubernetes Engine (GKE).

The article discusses how Google AI is transforming game development through advanced models like Gemma 3 and Gemini 2. 5, enabling developers to create immersive, AI-driven gaming experiences.

The article discusses the launch of Gemini 2. 5, highlighting its advancements in video understanding capabilities, particularly with the Gemini 2. 5 Pro and Flash models.

The article announces the general availability of Llama 4 as a Model-as-a-Service (MaaS) on Vertex AI, highlighting its advanced capabilities and ease of use.

The article discusses recent usability and safety updates to the Google Auth Platform, aimed at enhancing security and simplifying the developer experience.

The article announces the program lineup for Google I/O 2025, highlighting key sessions focused on advancements in AI, Android, web development, and cloud technologies.

The article discusses three generative AI-powered MarTech solutions introduced by Google to enhance marketing efforts.

The article announces the general availability of the Apigee Extension Processor, a new capability that enhances Apigee's ability to manage and secure backend services and modern application archit...

The article introduces the Agent2Agent (A2A) protocol, a new open standard aimed at enhancing interoperability among AI agents across various enterprise platforms.

The article introduces the Agent Development Kit (ADK), an open-source framework by Google designed to facilitate the development of multi-agent applications.

The Google Developer Program is evolving to include AI-powered tools and expanded resources aimed at enhancing developers' capabilities.

The article discusses the introduction of Managed I/O in Google Cloud Dataflow, which simplifies the management of Apache Beam I/O connectors.

The article discusses enhancements to Google Cloud Dataflow templates for MongoDB Atlas, focusing on the integration of JSON data types into BigQuery.

Google Cloud Next '25 is set to be an exciting event for developers, focusing on AI-powered applications and enhancing developer productivity.

The article discusses the introduction of the Data Science Agent in Google Colab, powered by Gemini, which automates the creation of data analysis notebooks.

The article discusses the Vertex AI RAG Engine, a tool designed to help developers build grounded generative AI applications by addressing challenges like hallucinations and outdated knowledge.

The article discusses the use of multimodal embeddings to enhance visual search capabilities, particularly for artists and enterprise-scale document search.

The article announces the general availability of Apigee API hub, a centralized platform designed to help organizations manage their APIs effectively.

Google Cloud Next '25 is set to take place in Las Vegas from April 9-11, 2025, featuring an extensive array of developer-focused content.