Transition your AI agents from experimental scripts to production services ⚡️ Agents CLI in Agent Platform provides the unified programmatic spine for the Agent Development Lifecycle on Google Cloud. It gives your AI assistant a direct line to the full Google Cloud agent stack. Explore the repository → https://goo.gle/4cZuvSl
Google for Developers
Technology, Information and Internet
Mountain View, CA 3,941,865 followers
Join a community of creative developers and learn how to use the latest in technology—from AI and cloud, to mobile & web
About us
Discover the latest technologies, resources, events, and announcements to help you build smarter and ship faster. Explore more at developers.google.com
- Website
-
http://developers.google.com
External link for Google for Developers
- Industry
- Technology, Information and Internet
- Company size
- 10,001+ employees
- Headquarters
- Mountain View, CA
- Specialties
- coding, engineering, firebase, android, cloud, web development, and mobile development
Updates
-
Hands up who’s looking forward to Next ’26? 🙋🏻♀️ It’s a golden opportunity to share ideas, grow your network, and hear from like-minded innovators. We’re particularly excited to hear from some of the world’s leading Google Developer Experts. Here are a few of our top picks: 🎓 Saheed Adewumi—in Saheed’s session, learn how to use Gemini to architect self-healing, serverless environments. If you’re looking to harden your CI/CD pipelines on Cloud Run using autonomous agents, it’s a must-watch. 🎓 Rif Kiamil—a GDE since 2014, Rif will explore the critical role of a deterministic source of truth in modern analytics. He’ll show you how grounding Gemini in the LookML semantic layer ensures your generated reports are accurate, consistent, and useful for business decisions. 🎓 Carlos Andrés Alarcón—discover how to build an automated developer ecosystem. Carlos will walk through the mechanics of a Slack-integrated pipeline where Gemini takes the lead on bug fixes and PR generation. 🎓 Darren Lester—with deep expertise on accelerating the testing lifecycle, Darren will show you how integrating Model Context Protocol (MCP) servers with the Gemini CLI turns simple instructions into comprehensive UI test suites. 🎓 Guillaume Blaquiere—as a Group Data Architect at Carrefour, Guillaume specializes in solving the scale problem for modern AI. He’ll be breaking down a high-parallelism architecture designed to push Gemini to its limits without hitting rate-limit walls. Next ’26 is packed with actionable sessions like these, along with expert guidance and inspiration to elevate your entire cloud strategy. Don’t miss out! Check out all Lightning Talks: https://goo.gle/4crnVE0
-
The future of seamless, digital-human interaction is here. We're taking AI agents out of the sandbox and into real-world applications with Gemini 3.1 Flash's Live API. The latest demo showcases a real-time vision agent, powered by Gemini 3.1 Flash, Lyria 3, and Google Search, enabling a robot to see, hear, speak, and generate music in real-time conversation. It's a practical framework for building high-performance, multimodal AI applications with speed and low cost. Ready to build your next AI-powered startup or tool? Dive into the technical breakdown and discover how these integrations make advanced AI accessible. Watch the full video for the how-to and architecture insights: https://goo.gle/48TaYAv #GeminiFlash #AIAgents #MultimodalAI #RealtimeAI
-
Building an AI agent that works on your local machine is the easy part. Building one that handles rate limits, scales beyond hardcoded data, and avoids "token burn" is where most developers struggle. In the first AI Agent Clinic episode, Luis Sala and Jacob Badish took a brittle sales research agent ("Titanium") and rebuilt it from the ground up. Here are 4 engineering lessons from the refactor: 🔹 Ditch the monolith: Use orchestrated sub-agents to handle specialized tasks. 🔹 Force structured outputs: Use Pydantic schemas to ensure your model's response doesn't break your code. 🔹 Dynamic RAG over hardcoding: Replace static context with a scalable Vector Search pipeline. 🔹 Observability is vital: Use OpenTelemetry to see exactly where an agentic loop is failing. Read the full breakdown and watch the episode here: https://goo.gle/4mJfSWt #AIAgents #SoftwareEngineering #GenerativeAI
-
-
The countdown to Google Cloud Next ’26 is officially on! ☁️ Get ready for the biggest reveals in AI, infrastructure, and Workspace innovation. Don’t just watch the keynotes—experience them with the community. 🔥 Join the action: Watch live: Catch the Opening Keynote → https://lnkd.in/efyZwNK2 Watch the Developer Keynote → https://lnkd.in/euqRS7EW Discord: React in real-time and talk shop with the dev community → https://goo.gle/4tXl2Rs See you there!
-
-
Google for Developers reposted this
Introducing one of our biggest updates to the Gemini Deep Research Agent, now available via the Interactions API! Trigger complex, long-horizon research workflows with arbitrary MCP support, get rich visualizations, plan before you execute, and more with these two configurations: 1️⃣ Deep Research (deep-research-preview-04-2026) 2️⃣ Deep Research Max (deep-research-max-preview-04-2026) Take a deeper look → https://goo.gle/4cqpaDz
-
-
Google for Developers reposted this
Android Studio Panda 4 is now stable and ready for you to use in production! 🐼 → https://goo.gle/4cwypRi New features include: Planning Mode - this lets the agent step back, reason, and capture a plan that you can review before it writes a single line of code. Next Edit Prediction - this doesn't just suggest the next word, it anticipates the next logical edit in your workflow based on your recent code changes. Gemini API Starter Template - this template takes care of the boilerplate code and guides you through a seamless, built-in setup wizard that gets your app connected to Gemini in just a few clicks. Agent Web Search - Agent Web Search expands Gemini's reach, allowing it to query Google directly to fetch current reference material from across the web.
-
-
Solve complex tasks faster by building with AI agents with GEAR. These tools interact with environments to help you work smarter and navigate technical workflows without the manual overhead. Learn more → https://goo.gle/486msQZ