What if your AI agent had its own agents? 🤖🤖 A single agent can get confused when multitasking. The solution? Multi-agent architecture. Watch how a main agent can automatically spin up focused sub-agents, delegate tasks in parallel, and synthesize the results seamlessly inside Google AI Studio. Discover the next phase of agentic workflows. Check out the full session here: https://goo.gle/4v0uxjK
Google for Developers
Technology, Information and Internet
Mountain View, CA 4,082,383 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
-
The Google Colab Command-Line Interface (CLI) is officially here, bridging the gap between local terminals and remote Colab runtimes. This release provides a zero-friction execution platform designed for both developers and terminal-based AI agents to instantly offload heavy computational lifting to GPUs or TPUs. Key developer features: ⚡ Instant accelerator offloading: Request high-powered GPUs or TPUs right from the command line. 🛠️ Simple remote execution: Run local Python scripts and complex ML pipelines directly on Colab runtimes. 📦 Seamless artifact recovery: Retrieve models, datasets, and replayable notebook logs using straightforward download commands. 🧠 Agent-driven workflows: Let AI agents use the Colab CLI to automate remote fine-tuning and development tasks. Learn more in the blog: https://goo.gle/4dNPhF6
-
Google for Developers reposted this
Backstage setup ➡️ Talking shop at the demo booth. A quick look at Una Kravets, Matthias Rohmer, Thomas Steiner, PhD and Mark Thompson's #GoogleIO journey.
-
Gemma 4 models optimized with quantization-aware training (QAT) are now available. This release delivers specialized mobile quantizations and Q4 checkpoints that drastically reduce memory requirements and unlock high-speed on-device performance. Key developer features: 📱 Mobile optimization: Features a hardware-efficient schema with channel-wise quantization and static activations 💾 Massive VRAM savings: Reduces storage significantly, allowing the text-only E2B model to run on less than 1 GB of memory 🔧 Ecosystem integrations: Supports popular tools like Hugging Face, Llama.cpp, Ollama, MLX, LM Studio, NVIDIA, vLLM, Unsloth, and LiteRT-LM Download the model weights on Hugging Face: https://goo.gle/4foOxra Read more in the blog: https://goo.gle/4vx8QYd
-
-
From mock exams to study tools and driving test simulators, the creativity from developers at #GoogleIO was mindblowing. What is the most random thing you have vibe coded lately? Share your answers below! 💡
-
Historically, taking AI agents to production required developers to spend significant time setting up custom infrastructure, handling orchestration loops, and isolating sandboxes for each user. To streamline this process, Managed Agents in the Gemini API are now live. Developers can now bypass complex backend architecture entirely. With a single API call, Google provides a remote, remote sandbox hosted on our cloud infrastructure, letting you focus purely on your product experience. ⚡ Built on Google's core technology: Your custom agents run on the exact same co-optimized "anti-gravity harness" that powers Google’s own internal agent products. 🛠️ Production-ready customization: Define specific agent behaviors, data guidelines, and skills easily using plain markdown files like AGENTS.md and SKILL.md, and scale them instantly. The hardest part of building agents is now the part you don't have to build. Build, test, and scale today: ai.studio/managed-agents 📝 Read the full deep dive: https://goo.gle/3PGrKwG
-
Google AI Studio 🤝 Builders Hub. Manage your AI workflows and track your projects directly in your Builders Hub dashboard→ builders.google
-
💻 Gemma 4 12B is bringing agentic, multimodal intelligence directly to your everyday laptop. By combining the reasoning and coding strengths of Gemma 4 12B with the Google AI Edge stack, you can now build, experiment, and run complex AI workflows entirely on-device. Here is a look at what you can do right now: - Google AI Edge Gallery for macOS: Dynamically generate and execute Python scripts on the fly to analyze data or even render 3D files. - Google AI Edge Eloquent for macOS: A fully offline voice dictation app featuring the new "Voice Edit," which allows you to rewrite or restructure text using simple voice commands. - LiteRT-LM CLI: Use the new serve command to easily spin up an industry-compatible local LLM server and connect Gemma 4 12B directly to your favorite tools and extensions. Ready to start building fully-local agentic workflows? Read the full announcement here: https://goo.gle/4uQlVfq
-
Mark your calendars: June 15–19 → https://goo.gle/43IUaJz Registration is now open for the 5-Day AI Agents: Intensive Vibecoding Course with Google! This no-cost sprint is designed to help builders design, build, and deploy AI agents using the latest production-ready workflows. What’s inside: 📚 Daily assignments: Self-paced whitepapers, podcasts, and codelabs 💬 Discord discussion: Exclusive access to Kaggle experts 🎥 Daily livestreams: Deep-dives and AMAs with the course authors 💻 Capstone project: Real-world builds with a chance to win swag and certificates
-
