At 2026 the Game Developers Conference, we showed how real AI is helping create real games—redefining play through autonomous agents and seamless workflows. More on how we're bringing living games from lab to living rooms → https://goo.gle/4uZ9Fty
Google Cloud
Software Development
Mountain View, California 3,200,399 followers
Welcome to the new way to cloud.
About us
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
- Website
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https://cloud.google.com/
External link for Google Cloud
- Industry
- Software Development
- Company size
- 10,001+ employees
- Headquarters
- Mountain View, California
Updates
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Today, we’re advancing Gemini’s real-time dialogue capabilities with Gemini 3.1 Flash Live, our highest quality audio and voice model yet! We’ve improved the quality of 3.1 Flash Live, making it more reliable for enterprises building voice-first agents to handle complex tasks at scale–even in noisy environments. Learn more here → https://goo.gle/4bPsxCi
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When it comes to 𝚂𝙺𝙸𝙻𝙻.𝚖𝚍, developers tend to fixate on the format, but with more than 30 agent tools standardizing on the same layout, the formatting problem is practically obsolete. 𝗧𝗵𝗲 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗻𝗼𝘄 𝗶𝘀 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗱𝗲𝘀𝗶𝗴𝗻. By studying how skills are built across the ecosystem—from Anthropic’s repositories to Vercel and Google's internal guidelines—Shubham Saboo and Lavi Nigam have identified 5 recurring design patterns that can help developers build agents: 1. Tool Wrapper: Make your agent an instant expert on any library 2. Generator: Produce structured documents from a reusable template 3. Reviewer: Score code against a checklist by severity 4. Inversion: The agent interviews you before acting 5. Pipeline: Enforce a strict multi-step workflow with checkpoints Important reminder: These patterns are not mutually exclusive. They compose! Meaning: A Pipeline skill can include a Reviewer step at the end to double check its own work. A Generator can rely on Inversion at the very beginning to gather the necessary variables before filling out its template. Thanks to ADK's 𝚂𝚔𝚒𝚕𝚕𝚃𝚘𝚘𝚕𝚜𝚎𝚝 and progressive disclosure, your agent only spends context tokens on the exact patterns it needs at runtime.
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At #GoogleCloudNext, we’re showing you how Gemini Enterprise makes elevating customer experiences possible for any business size. From discovery to order support, it’s all within reach. Get a sneak peek of Darshan Kantak and Archana Kannan's Spotlight Session (#004) on how to transform your CX strategy and take ownership of agentic customer experiences. See you there → https://goo.gle/3NDZh9G
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With the start of baseball season just days away, Major League Baseball (MLB) is launching MLB Scout Insights, a new AI-powered feature that brings its famous color commentary straight to your pocket—and Gemini is helping give it a voice. Built with Google’s Gemini models, Scout Insights scans the entire history of Major League Baseball's traditional and statcast data nearly as fast as a Cy Young winner’s strikeout. The tool then cross-references all that data with situational game scenarios and then delivers game-relevant context at key points throughout the 15 or so games taking place each day. This is more than just stats—it’s about using generative AI to deepen the connection between fans and the game they love. See how we’re changing the game with MLB → https://goo.gle/4rNKuHl
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Building an agent is easy. Building one that doesn't break in production is the real challenge. On our next livestream, Shubham Saboo and Kristopher Overholt are breaking down the new ADK Integrations Ecosystem. We’re moving past basic chatbot examples to show you how to build flexible, modular agents that own their architecture. What’s on the agenda? ✅ Scaffolding agents in minutes with ADK Dev Skills. ✅ Using MCP to keep your IDE updated with the latest docs. ✅ Live debugging and "vibe coding" a real-world integration. Drop your questions in the comments and build along with us! Join us March 24 at 9 AM PT / 12 PM ET
Supercharge your AI agents: Inside the new ADK integrations ecosystem
www.linkedin.com
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30 sleeps until #GoogleCloudNext! We're dreaming of sessions on distributed systems, interactive learning workshops, solution talks to tackle architectural roadblocks, an exclusive look at what's new with Gemini, and so much more. See you in Vegas, April 22–24 → https://goo.gle/47ezziK
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Gemini Enterprise turns complex data into completed tasks. Save hours of your time by putting a task force of AI agents to work on your staff scheduling → https://goo.gle/4lOqbZe
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𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞: Integrate foundation models in BMW Group’s vehicles 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: An automated workflow for SLM optimization 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: An automated workflow with Vertex AI Pipelines More on BMW Group’s experiments evaluating domain-specific language models → https://goo.gle/47cIAsz
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Why use MCP servers? It’s all about developer velocity. Google Cloud provides remote, pre-baked tools so your agents can query structured data immediately. Watch more → https://goo.gle/4bj3KYp