@googleaidevs
AI for every developer. So what will you build?
Bring your entire repo into the context window and start building. @GoogleAIStudio now supports direct GitHub imports.
🧪From lab research to developer reality. Learn how we turn advanced AI research into practical tools you can actually build with in this talk from Benoit Schillings, VP of Technology @GoogleDeepMind at @aiDotEngineer.
We’re expanding managed agents in the Gemini API with added support for: 1. Long-running background execution: Run interactions asynchronously on the server without needing to hold an open HTTP connection. 2. Remote MCP server: Connect managed agents directly to private databases, internal and external APIs with no proxy middleware required. 3. Custom function calling: Add custom tools seamlessly with built-in sandbox tools. 4. Network credential refresh: Rotate API keys mid-session without losing your sandbox's filesystem state. Start building autonomous agents today ↓ x.com/GoogleAIStudio…
Check out our Quickstart guide: ai.google.dev/gemini-api/doc…
As we build tools that scale alongside rapid AI advancements, platform design must evolve to let the models do their best work. @kevinhou22 on the evolution of @Antigravity at @aiDotEngineer.
We’re launching Nano Banana 2 Lite, our fastest most cost-efficient Gemini Image model yet, optimized for high-throughput developer pipelines. Alongside it, Gemini Omni Flash, our video generation and editing model is now available to developers. Both models are accessible today via @GoogleAIStudio and the Gemini API to help you scale your workflows 👇
Nano Banana 2 Lite is now available for developers to build high-velocity image pipelines. The model generates text-to-image outputs in 4 seconds at a cost of $0.034 per 1K image, enabling quick drafting and prototyping at a low cost for developers.
Host a sponsored Gemma hackathon for your local community. 🌐 x.com/googlegemma/st…
When we hit 2 million apps, we have to build the real statue, right? x.com/GoogleAIStudio…
Try it out: aistudio.google.com/apps?features=…
The Computer Use tool is now available for Gemini 3.5 Flash 🛠️ Build agents that see and take action across browser, mobile, and desktop environments to seamlessly handle long-horizon tasks. Here’s what’s new: - Built-in support for mobile and desktop operating systems - Intent arguments for all function calls - Customizable client-side functions to easily support human-in-the-loop (HITL) takeover - Prompt injection detection and configurable action-level safety policies to fit your app’s needs Learn how you can use 3.5 Flash to automate QA testing, business processes, and more in the blog: t.co/WwkqWt9Rcu
Watch the tool in action as it completes a doc audit for mobile accessibility issues:
The Gemini Interactions API is your unified interface for text, multimodal inputs, tool use, and managed agents all in a single endpoint. Go from prompt to production faster than ever. Read the developer guide ⬇️ x.com/GoogleAIStudio…
🗣️We built Managed Agents in the Gemini API to handle the plumbing so you can focus on building smart, autonomous agents. With just a single prompt, see how the agent researches a topic and builds a radio show from scratch. Here’s how it works: - [Zero infrastructure setup] The API automatically spins up a secure, temporary Linux sandbox. - [Autonomous loops] The agent independently plans, self-corrects, and executes its own code. - [Multi-step logic] With instructions and tools defined via industry-standard agents.md and skills.md files, the agent uses its Gemini-optimized understanding to draft and produce a dynamic, back-and-forth audio dialogue, generate music, create album art and more, all in a single API call.
Try it for yourself in @GoogleAIStudio: aistudio.google.com/apps/bundled/a…
The Interactions API is now GA. Featuring a stable schema and new capabilities via a single /interactions endpoint, it is now our standard interface for both model inference and autonomous agents. Check out the key updates: — Managed Agents: Spin up a secure, remote Linux sandbox for code execution and browsing via a single API call, using the default antigravity-preview-05-2026 agent or your own custom instructions — Simplified Schema: Every action is now represented as its own step (from user_input to model_output, etc.) in a simplified, linear flow — Background Execution: Set background=True to run models and agents asynchronously, letting you poll for results when ready — Expanded Tool Ecosystem: Native support for Computer Use, File Search, and Google Maps, alongside new agent-building tools like the Gemini API Docs MCP server and gemini-interactions-api Skill — Media Generation: Image generation via Google Search-grounded Nano Banana 2, music with Lyria 3, and expressive multi-speaker TTS Read the blog to learn more: t.co/ZzfpUGzAvm
Check out this quick overview of the @Antigravity ecosystem 🚀
Watch the full episode to get the breakdown on Antigravity 2.0 and the IDE, CLI, and SDK ⤵️ youtube.com/watch?v=04IqH3…
How does Gemma 4 12B handle audio and vision without encoders? @MaartenGr maps out the architecture in this step-by-step visual guide. ⤵️ newsletter.maartengrootendorst.com/p/a-visual-gui…
Learn how to vibe code in 5 days! Build scalable agent systems using natural language and complete a hands-on capstone project in this @Kaggle course hosted by our researchers and engineers.
Register here: kaggle.com/competitions/5…
Add near real-time voice translation to your apps with Gemini 3.5 Live Translate via the Gemini Live API. 🎙️ Watch how the model handles live broadcast ingestion and translation with continuous speech-to-speech streaming (S2ST) and synced transcripts, letting users tune into
Try building in @GoogleAIStudio and show us what you make. aistudio.google.com/live?model=gem…
DiffusionGemma, our experimental open model released under an Apache 2.0 license, explores text diffusion, an exceptionally fast approach to text generation. Here’s how DiffusionGemma accelerates development: + Faster token output: By shifting the bottleneck from memory
Get more details in the blog: goo.gle/3Sw3MoC
Our latest audio model, Gemini 3.5 Live Translate, takes real-time speech translation to the next level for developers by delivering low-latency translation across 70+ languages. By processing speech as it streams in near real time, the model enables devs to build low-latency
Here’s how you can start building today: — @GoogleAIStudio: Test model capabilities in the live playground at ai.studio/live — Gemini Live API & 3P integrations: Get started with built-in ecosystem support from @AgoraIO, @livekit, @pipecat_ai, @swmansion,
New @GoogleGemma 4 QAT (Quantization-Aware Training) checkpoints are here, so you can run models locally on consumer GPUs and mobile devices with minimal quality loss. What’s new: 🔹 GGUF (Q4_0): Checkpoints: Max local performance across all sizes and drafter models 🔹 Custom
Download the weights on @HuggingFace today. huggingface.co/collections/go…
Play our new open-weights music model, @GoogleMagenta RealTime 2, using a MIDI keyboard, live text prompts, and even hand gestures ✌️ x.com/GoogleMagenta/…
Join @GoogleDeepmind and @HeyGen on June 11th! Our LA event for builders working at the intersection of AI agents, creative tooling, and multimodal apps is now open for registration 👇 x.com/HeyGen/status/…
We’re launching Gemma 4 12B: Our unified, encoder-free model that brings powerful multimodal intelligence straight to your laptop 🚀 The model bridges the gap between our mobile E4B model and larger 26B MoE models, packaging frontier-class reasoning and native audio into a
> Ecosystem: Compatible with llama.cpp, MLX, @LMStudio, vLLM, @ollama, @UnslothAI, and SGLang. > Download: Grab the weights on @Kaggle and @HuggingFace: huggingface.co/collections/go…
Building autonomous agents for scientific discovery? 🧬🤖 @GoogleDeepMind Science Skills is now available on GitHub. We've open-sourced this specialized toolkit to accelerate your agentic workflows with scientific grounding and higher token efficiency. Download now ↓
Check out how you can use Science Skills ↓ antigravity.google/use-cases/scie…
From Google I/O to building real world solutions in one weekend. Always inspired by the energy of this community! x.com/cerebral_valle…
From clutter to clarity. Watch parallel subagents in @Antigravity sort and rename hundreds of marketing assets, eliminating manual file management.
ICYMI: Nano Banana Pro [gemini-3-pro-image] and Nano Banana 2 [gemini-3.1-flash-image] are now GA and ready for production via the Gemini API. Check out these great community examples to see the capabilities of both models in action 🧵
Advanced world knowledge: x.com/BoWang87/statu…
Good implementation of Managed Agents in the Gemini API by our friends at @Eigent_AI! Root causing CI failures at lightning speed. ⚡ x.com/Eigent_AI/stat…
The team at @llama_index built an awesome template using LlamaParse and the new Managed Agents in the Gemini API. See how they built an agent that can tackle unstructured documents. 📄↓ x.com/llama_index/st…
We love this use of Managed Agents in the Gemini API by the team at @wandb. Silent bugs don't stand a chance. 🐛⬇️ x.com/wandb/status/2…
Save countless hours of manual migration work. Watch messy legacy code autonomously modernize into Next.js in this example from @Antigravity, powered by Gemini 3.5 Flash.
🍌 Nano Banana Pro [gemini-3-pro-image] and Nano Banana 2 [gemini-3.1-flash-image] are now GA and ready for production via the Gemini API. Check out these great community examples to see the capabilities of both models in action 🧵↓
Advanced world knowledge: x.com/BoWang87/statu…
