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Google AI Developers

Google AI Developers

@googleaidevs

AI for every developer. So what will you build?

Katılım Nisan 2024
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Google AI Developers
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 ↓
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Google AI Developers
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.
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Google AI Developers
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.
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Google AI Developers
Google AI Developers@googleaidevs·
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.

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Google AI Developers
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. ↓
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Google AI Developers
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.
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Google AI Developers
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 ↓
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Google AI Developers
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 💡
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Google AI Developers
Google AI Developers@googleaidevs·
To help you deploy reliable, cost-controlled, and automated agents, we’re launching a few new updates to Managed Agents in Gemini API: - Free tier availability: Start building without active billing under free rate limits in Gemini API - Budget guardrails: Use max_total_tokens inside agent_config to prevent runaway task costs - Scheduled execution triggers: Automate recurring agent tasks with built-in cron schedules Read the article and start building ⬇️
Google AI Studio@GoogleAIStudio

x.com/i/article/2077…

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Google AI Developers
Google AI Developers@googleaidevs·
Rather than translating text step-by-step, Gemini 3.5 Live Translate processes raw audio in real time. This eliminates lag and ensures every nuance of the speaker's natural voice is preserved. See how developers are building impressive multilingual apps with it ⬇️
Google AI Developers@googleaidevs

x.com/i/article/2067…

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Google AI Developers
Google AI Developers@googleaidevs·
Bring your entire repo into the context window and start building. @GoogleAIStudio now supports direct GitHub imports.
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