#Cloud Model

Google has released a in-depth guide for startups building AI agents. How to use this guide: New to AI agents? Start with Section 1 for the core concepts. Ready to build? Jump to Section 2 to create your first agent using ADK. Agent built? Dive into Section 3 to make it safe, stable, and scalable. This guide focuses primarily on ADK, sharing concepts and architectural patterns that allow you to build robust, scalable agents on Google Cloud while retaining the ability to integrate other preferred tools and libraries. #codagentic

ICYMI: Insight is ready to 'Turn it Up' at Google Cloud Next 2026 in Las Vegas from April 22-24. Measuring AI success takes a new metric. 📈 See what’s next and view our session lineup at the link in bio. Stop measuring your AI success by your cloud bill. The old realities of FinOps are dead. It’s time to turn it up with a new metric: the cost per augmented decision. Learn how we’re helping clients move beyond the hype to get real business value from generative AI. From technical lightning talks to deep-dive breakout sessions, our experts are ready to share the blueprint for your future cloud strategy. #GoogleCloudNext #GoogleCloudPartner #GenerativeAI

Most AI only talks… but Google ADK lets agents do the work with 1 line of code 🤯 ✅ Update Jira ✅ Open a GitHub PR ✅ Run tests ✅ Connect tools fast (no messy wrappers) This is the jump from “I can” to “DONE.” Want the exact flow I used? Watch till the end. Comment “ADK” and tell me: what will you automate first? 👇 #googleadk #aiagents #automation

The Company Behind Governments, Banks, and Clouds Oracle is no longer just an “old database company.” It is a major player in AI and cloud infrastructure, with a historic 5-year, $300 billion deal with OpenAI, one of the largest AI cloud agreements ever. Oracle Cloud is optimized for high-performance AI workloads and collaborates with giants like Meta, OpenAI, and xAI. It is also negotiating a ~$20 billion cloud deal with Meta and partnering with Google on the Gemini AI model, strengthening its multicloud strategy. The company’s market value is around $700 billion. Oracle’s founder, Larry Ellison, has turned the company into a global AI infrastructure hub and is currently the world’s 3rd richest person with a net worth of $247.7 billion. There are more videos like this on the page. Join us✨ Feel free to share it in your story to show your passion for technology! But if you post it as a reel, please tag 'codcoders' and mention us in the caption 🙌 #oracle #tech #fyp #fypシ

Google has released a tutorial to build an AI agent with Gemini CLI and agent development kit. This video demonstrates vibecoding an app from scratch, incorporating version control with Gitea, generating AI images with Imagen, exploring context engineering, and setting up an automated CI pipeline for testing and deployment. Discover how these tools enhance your ability to build powerful, secure, and intelligent applications. Chapters: 0:00 - Intro 01:35 - Building a profile website with Gemini CLI 03:50 - Version control and connecting to Git with MCP 06:15 - Generating an AI profile image with Imagen 08:38 - Context engineering and agent guardrails 10:15 - Creating your agent and arming it with tools 11:33 - Automated testing and CI for AI agents 13:48 - Deploying your AI agent to Cloud Run

Comment “Day2” if you want that reel too Google Cloud Technical Day 1 Takeaways #google #aiautomation #aiagents #n8n #community

Google just dropped Skills for Antigravity. This changes everything. If you’re still building AI agents with no-code tools, you’re hitting the same wall everyone else is. Context limits, wasted tokens, and agents that forget what you told them five minutes ago. That’s why builders are moving to IDEs like Antigravity, Claude Code, and Cursor. Skills let you save instructions once and your agent pulls from them automatically. No more re-explaining. No more bloated prompts. One [SKILL.md] file works across all three platforms. Comment “SKILLS” and I’ll send you the framework to set up your first one. 👇 #AIAgents #GoogleAntigravity #AITools

The companies that created infrastructure for agents to easily access benefited a lot from the initial vibecoding boom. If you want to build product relevancy and be passively discovered by agents you should create a form of your product as a tool.

Google just had its "Stripe moment" for AI agents. Devs used to spend 80% of their time managing memory "plumbing." Now, Gemini 3.0 does it for you. Non-technical founders are about to build really complex agents because the hardest part of the process is now the simplest. #aiagents #gemini #google #software #entrepreneur

Google has released a in-depth guide for startups building AI agents. How to use this guide: New to AI agents? Start with Section 1 for the core concepts. Ready to build? Jump to Section 2 to create your first agent using ADK. Agent built? Dive into Section 3 to make it safe, stable, and scalable. This guide focuses primarily on ADK, sharing concepts and architectural patterns that allow you to build robust, scalable agents on Google Cloud while retaining the ability to integrate other preferred tools and libraries. Pdf: https://services.google.com/fh/files/misc/startup_technical_guide_ai_agents_final.pdf Or https://cloud.google.com/resources/content/building-ai-agents

The future is agentic. Agentic development is reshaping how teams build and deliver software, with GitHub Copilot supporting faster workflows and human decision making ✨ Watch more: https://youtu.be/EU2xbJI3rPQ

Oz Cloud Agents run in sandboxed environments⁠ ⁠ Not everyone's comfortable letting an agent take over their machine. And that's fair.⁠ ⁠ Oz agents solve this. They run in sandboxed environments — not on your laptop, not touching your mouse, not hijacking your terminal mid-flow.⁠ ⁠ You get all the power of an autonomous agent without the anxiety of watching it click around your desktop.