Hands on with Gemini 3.7 Flash
Summary
Discover how leaders at Box, Databricks, and Emergent are testing and building with Gemini 3.7 Flash, our most intelligent workhorse model yet for coding and agents. In this conversation, we explore how Gemini 3.7 Flash powers highly efficient, scalable multi-agent systems that need low latency and efficient token use to scale in production. Subscribe to Google for Developers → https://goo.gle/developers Speakers: Paige Bailey, Matthew Terrell (Box), Madhav Jha (Emergent), Ivan Zhou (Databricks) Products Mentioned: Gemini 3.7 Flash
Related: OpenAI: Scientific computing in the age of agentic AI · Anthropic: Anthropic Cookbook: feat(claude_agent_sdk): add scheduled repository reviewer recipe (#860) · Microsoft: GitHub Copilot app for Beginners: Run several agents at once · Meta: Meta Muse Code & Muse Spark Course – Build AI Agents, APIs, and Full-Stack Apps · xAI: OpenAI Cut Off a Billion-Dollar Customer to Avoid Elon Musk
Rated low: routine. Worth knowing, not worth rearranging your day for.
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- On Google for Developers on YouTube. The "Read this on Google for Developers on YouTube" link above opens the original in a new tab. Subvolts publishes a summary and analysis, never the full piece.
- What does this mean for Gemini?
- Discover how leaders at Box, Databricks, and Emergent are testing and building with Gemini 3.7 Flash, our most intelligent workhorse…
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