Google AI Developers

AI for every developer. So what will you build?

[Google AI Developers @googleaidevs]

Gemini Robotics ER 2 is our most capable embodied reasoning model designed for physical AI 🤖

Built as a high-level brain for robotics, the model connects directly to the Gemini Live API. It processes continuous video streams to track progress, call tools, search the web, and command an action model in real time.

Upgrades for developers include:
+ Enhanced progress tracking
+ Real-time mid-execution failure detection
+ Multi-robot collaboration
+ Advanced safety instruction following

[Google AI Developers @googleaidevs]

Use these @Antigravity commands to navigate the CLI, manage background tasks, configure utilities, and run research subagents more efficiently. 🚀 https://t.co/uJDNvZLPNL

[Google AI Developers @googleaidevs]

Get more details:
https://t.co/3wIjYTqOJZ

[Google AI Developers @googleaidevs]

After planning your idea, it’s time to build. 🏗️

This video shows you how you can use the Google ecosystem to construct and deploy AI-native apps seamlessly for the Build with Gemini @XPrize Hackathon, live through August 17.

[Google AI Developers @googleaidevs]

Build smarter, safer physical agents today using the Gemini API or @GoogleAIStudio ↓ https://t.co/30bgUlQlSP

[Google AI Developers @googleaidevs]

Gemini Robotics ER 2 is our most capable embodied reasoning model designed for physical AI 🤖

Built as a high-level brain for robotics, the model connects directly to the Gemini Live API. It processes continuous video streams to track progress, call tools, search the web, and command an action model in real time.

Upgrades for developers include:
+ Enhanced progress tracking
+ Real-time mid-execution failure detection
+ Multi-robot collaboration
+ Advanced safety instruction following

[Google AI Developers @googleaidevs]

We wanted to see how Gemini 3.5 Flash-Lite handles massive, repetitive visual tasks. This demo runs the model across 1M+ catalog images, extracting raw features into clean, structured data with the low latency and token efficiency required for large-scale workflows.

[Google AI Developers @googleaidevs]

Developer guide:
https://t.co/OJfxQR7ETJ

[Google AI Developers @googleaidevs]

👾Watch a multi-agent system built with Gemini 3.6 Flash iterate on playable game design in real time. It uses Gemini 3.5 Flash-Lite to design, construct, and verify puzzle challenges based on live player actions balancing speed and reasoning in a fast-paced environment.

[Google AI Developers @googleaidevs]

https://t.co/lKIrwXl3HW

[Visual Studio Code @code]

🆕 Gemini 3.6 Flash is now rolling out in GitHub Copilot. Try it in @code!

[Google AI Developers @googleaidevs]

https://t.co/0uRoKUsz4C

[GitHub @github]

🆕 @GoogleAI’s Gemini 3.6 Flash is now generally available and rolling out in GitHub Copilot.

➡️ It is designed for web and app development, coding and agentic tasks
➡️ In testing, it demonstrated higher task-completion rates and better token efficiency than Gemini 3.5 Flash across coding and agentic workflows

Try it out in the GitHub Copilot app or @code.
https://t.co/8z4nEuqjrW

[Google AI Developers @googleaidevs]

https://t.co/ewfS2ai4uo

[Box @Box]

.@GoogleDeepMind released Gemini 3.6 Flash and Gemini 3.5 Flash-Lite. We ran evals. Here is how 3.5 Flash-Lite compared to 3.1 Flash-Lite on real enterprise document tasks:

→ Overall: 58% vs 41%
→ Data Analysis: +27pp
→ Retail: +28pp
→ Financial Services: +16pp
→ Consumer Products: +21pp

A clear generational step up on the hard, quantitative work that drives real decisions — and it gets there faster and lighter than the model it replaces, not slower.

[Google AI Developers @googleaidevs]

https://t.co/5yYClBwfgk

[Vercel Developers @vercel_dev]

Gemini 3.6 Flash and Gemini 3.5 Flash-Lite are now on AI Gateway.

• 𝚖𝚘𝚍𝚎𝚕: '𝚐𝚘𝚘𝚐𝚕𝚎/𝚐𝚎𝚖𝚒𝚗𝚒-𝟹.𝟼-𝚏𝚕𝚊𝚜𝚑'
• 𝚖𝚘𝚍𝚎𝚕: '𝚐𝚘𝚘𝚐𝚕𝚎/𝚐𝚎𝚖𝚒𝚗𝚒-𝟹.𝟻-𝚏𝚕𝚊𝚜𝚑-𝚕𝚒𝚝𝚎'
https://t.co/m4cgMDZ4Yt

[Google AI Developers @googleaidevs]

https://t.co/eLYDQnZIve

[OpenCode @opencode]

Gemini 3.6 Flash and 3.5 Flash Lite now available in OpenCode

- 1M context
- 3.6 Flash: 17% cheaper output than 3.5 Flash
- 3.5 Flash Lite: 80% cheaper than 3.5 Flash

[Google AI Developers @googleaidevs]

https://t.co/Cx2ZW2w0m8

[Browser Use @browser_use]

Gemini 3.6 Flash is here, and it's the best price-to-performance model we've tested for browser agents.

On our BU Benchmark it hits 68%, beating GPT-5.6-sol (67%) and Sonnet 4.6 (62%). Second only to Opus 4.8 (74%), at a fraction of the cost.

Frontier-level web agents at Flash pricing. @GoogleDeepMind

[Google AI Developers @googleaidevs]

Building for real work.

See how our partners are integrating the latest Gemini 3.6 Flash and 3.5 Flash-Lite models into the tools you use every day. ↓

[Google AI Developers @googleaidevs]

Both Gemini 3.6 Flash and 3.5 Flash-Lite are available starting today in the Gemini API via @GoogleAIStudio and @AndroidStudio. You can also build with 3.6 Flash in @Antigravity and the Gemini Enterprise Agent Platform.

Learn more ↓
https://t.co/qS2I06R08u

[Google AI Studio @GoogleAIStudio]

https://t.co/KryNeKxmj0

[Google AI Developers @googleaidevs]

Building production AI agents requires scalable intelligence with token efficiency and lower latency. Today, we’re releasing Gemini 3.6 Flash and Gemini 3.5 Flash-Lite built to scale agentic workflows.

Read the 🧵to learn more ↓

[Google AI Developers @googleaidevs]

Gemini 3.5 Flash-Lite is our fastest and most cost-effective model for low-latency, high-throughput developer workflows. It is optimized for scaling repetitive tasks, parallel subagents, agentic search, and high-volume document processing.

[Google AI Developers @googleaidevs]

The Build with Gemini @xprize Hackathon ends August 17, 2026.

Get more details: https://t.co/DOavKKr4ku

[Google AI Developers @googleaidevs]

The Build with Gemini @xprize Hackathon is live through August 17, 2026. Dream big, build a startup that solves real-world problems, and compete for $2M in prizes.

This video shows you how to use different Google products and tools, like Gemini Deep Research, Gemini Spark, and @GoogleAIStudio, to bring your project from idea to launch 💡