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AI for every developer. So what will you build?
Joined April 2024
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POV: Building your first cyberdeck with no experience ⚒️‼️
Check out this demo using Gemini 3.8 Live Extended Thinking to create a workshop assistant that analyzes your workspace, reasons with you out loud, and guides you through the entire build process.
Google AI Developers retweeted
🗣️ Introducing Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking.
These advanced audio models are built for natural conversation, featuring major upgrades in turn-taking and near real-time reasoning. They also significantly streamline how you build intelligent voice agents.
Until now, advanced reasoning and reliability came at the cost of high latency and the complexity of cascaded, multi-model pipelines. Stitching together separate speech-to-text, reasoning, and text-to-speech models adds delay and inflates costs.
By replacing that stack with a single multimodal API call, these two models make building highly responsive voice agents simpler and cost-effective.
🧵 Here’s what you can build with them:
Gemini 3.8 Flash is hardwired for complex reasoning. ⚙️
To test its skills, we built an interactive 3D visualizer with 3.8 Flash and @ThreeJS in @GoogleAIStudio. Watch the model generate realistic, physically-proportioned teardowns for hardware devices. It automatically decomposes devices into layers that users can explode and inspect with a deconstruction slider.
Learn more about how you can start building with 3.8 Flash:
blog.google/innovation-and-a…
Can Gemini count the number of claps? 👏
Accurately counting rapid movements is a notoriously tricky task for AI. Because static processing ingests video at a fixed 1 FPS by default, split-second movements like a clap easily get missed entirely or get confused with a snap or click.
Watch Gemini 3.7 Flash use the new agentic video understanding capability to accurately identify and count every single clap by automatically adapting the processing speed as needed:
Agentic video understanding is supported by Gemini 3.7 Flash, 3.6 Flash and 3.5 Flash-Lite and is available today for video uploads and @YouTube videos via the Gemini API on @GoogleAIStudio and Gemini Enterprise Agent Platform.
More details in the blog:
blog.google/innovation-and-a…
🗣️💬 Say hello to Gemini 3.5 Transcribe, a speech-to-text model that actually understands your codebase.
Watch how this latest model filters out spoken hesitation while grounding technical terms, file names, and code variables precisely against the active context while building in @Antigravity. By using visual biasing, the model brings deep, screen-aware context to complex developer workflows.
Google AI Developers retweeted
One billion downloads and counting for @googlegemma! 🚀
With over 100K model variants published, developers are using our open models to drive impact everywhere. From outer space to underwater, here's a few major hits from the community:
🔹 Orbiting with @NASA, Satlyt, and @Starcloud_.
🔹 Processing health data for 100M+ users on India's Aarogya Setu 2.0.
🔹 Accelerating global cancer research and clinical apps with C2S-Scale & MedGemma.
🔹 Decoding underwater dolphin vocalizations using DolphinGemma.
Learn more: goo.gle/4xMPlff
From a single prompt to a fully animated parallax landing page. 🤯
See how Gemini 3.7 Flash, combined with Nano Banana and Omni, builds interactive websites in one shot. Under the hood, 3.7 Flash calls the right tools to generate the copy, image references, and render parallax-ready Omni videos.
Build your own:
github.com/nroadley/Creating…
Turn the web into an interactive visual encyclopedia with Nano Banana and Gemini Omni. 🌐✨
We built a Chrome Extension in @Antigravity with Gemini 3.7 Flash that lets you highlight any text to quickly generate rich, visual definitions while you browse for deeper learning.
Check out the demo ↓
We fed Gemini 3.7 Flash hundreds of PDFs from a Victorian book of botanical illustrations and tasked it with extracting and classifying these historical plants using the modern APG IV classification system. 🌳 💻
Watch how it brings its understanding to life in an interactive visualization built in @Antigravity:
You’ve planned your idea and built your app. Now it’s time to grow! 📈
Learn how you can market your product and deploy creative campaigns using tools like @FlowbyGoogle and @PomelliByGoogle for the Build with Gemini @XPrize Hackathon, live through August 17.
Get more details and submit before August 17:
geminixprize.com/
One spec. Five native apps. Zero boilerplate.
Watch how Gemini 3.7 Flash in @antigravity takes a single architecture specification and generates native, production-ready code across 5 mobile frameworks: Flutter, SwiftUI, Jetpack Compose, React Native, and NativeScript.
As our most intelligent workhorse model yet for coding and agents, Gemini 3.7 Flash brings higher instruction adherence, first-pass code accuracy, and high-quality execution for agentic tasks.
See how the model handles building a complex 3D web game with 3.7 Flash in @antigravity:
1️⃣ 3D Engine Logic: Generates Three.js boilerplate, camera movement, and collision detection.
2️⃣ Asset Orchestration: Creates PBR-textured materials, custom sprite sheets with Nano Banana, and particle effects.
3️⃣ Procedural Audio: Integrates procedural sound effects using custom audio skills
Step 3: Communicating with the driver.
Race car drivers can’t look at a screen mid-corner! The app uses Text-to-Speech (TTS) for instant audio feedback. The visual dashboard was built with Jetpack Compose to render spatial metrics fluidly without dropping frames under heavy loads.
Step 4: Cloud reasoning.
Cloud computing plays its part in post-session. When the car eventually reconnects to the network in the pits, the Gemini API kicks in to run deeper analysis against pro-driver models to find long-term performance gains.
By proving this edge architecture on the track, the team showed that agentic workflows can be trusted in environments where consistent performance is critical.
More details to start building:
developers.googleblog.com/br…
