Google launches AI agent suite at Cloud Next 2026 with Workspace Studio, A2A protocol at 150 orgs, and Project Mariner. The pitch: only Google owns the full stack.

Learn how to build and deploy custom AI agents in minutes using no-code automation, voice commands, and API integrations.

This crash course on how to build a RESTful API with Spring Boot teaches everything you need to know to immediately develop enterprise-grade microservices in Java. In just 90 minutes you'll learn how ...

The Google Workspace CLI (gws) is a Node.js tool that exposes the entire Google Workspace API surface as structured, JSON-first commands, exactly the kind of output AI models like Claude can parse ...

Google released a command-line interface on GitHub that makes Gmail, Drive, and Docs more accessible to AI agents like OpenClaw and other MCP-compatible applications. PCWorld reports this CLI ...

Google Cloud API keys, normally used as simple billing identifiers for APIs such as Maps or YouTube, could be scraped from websites to give access to private Gemini AI project data, researchers from ...

Developer Knowledge API and Model Context Protocol server. Together connect AI agents to Google’s developer and Google Cloud documentation. Google is previewing the Developer Knowledge API and an ...

What if you could take your project from a simple prototype in Google AI Studio to a fully deployed application on your own custom domain, all without breaking a sweat? In the guide below, Your AI ...

For the last two years, the fundamental unit of generative AI development has been the "completion." You send a text prompt to a model, it sends text back, and the transaction ends. If you want to ...