Explore our collection of vibe coding tutorials and start building apps in the AI Studio 🎬✨
Google AI for Developers
Technology, Information and Internet
AI for every developer. So what will you build?
About us
Our goal is to equip developers with the most advanced models to build new applications, helpful tools to write better and faster code, and make it easy to integrate across platforms and devices.
- Website
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https://goo.gle/ai-devs
External link for Google AI for Developers
- Industry
- Technology, Information and Internet
- Company size
- 10,001+ employees
Updates
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Raindrop monitors AI agent performance at scale with Gemini 2.5 Flash, using the model’s query expansion and structured outputs to build a semantic monitoring pipeline, processing millions of events daily - reducing search times from hours to minutes and cutting costs by 90%. Get the details: https://goo.gle/4nqKB9K
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Build an on-device RAG system for private, fast, and offline-capable AI apps. Learn how to implement Retrieval-Augmented Generation (RAG) using EmbeddingGemma and Gemma 3 1B models with this guide from Google Developer Expert Georgios Soloupis → https://goo.gle/4oDuaYu
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Discover how databases can supercharge your agentic AI development, with our roadmap keynote and deep-dives into: 🔸Enhancing AI agents with GraphRAG 🔸Building AI-powered experiences with real-time analytics 🔸Optimizing data interactions with Gemini CLI extensions Register for Databases LIVE on Oct 30 to hear from our product experts → goo.gle/48oROmT
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Fine-tune Gemma 3 27B using Vertex AI’s managed OSS tuning service. Fine-tune these models using a simple setting, tuning_mode="PEFT_ADAPTER" in the Vertex AI SDK, and providing your JSONL training data in a GCS bucket. Learn more and get pricing details: https://goo.gle/42XrFId
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Firecrawl uses Gemini 2.5 Pro’s advanced language and reasoning capabilities to power their SmartScrape and FIRE-1 solutions, transforming unstructured web content into clean and usable data. > SmartScrape uses the model’s language and reasoning capabilities to transform raw HTML into structured outputs and perform context aware-extraction. > FIRE-1 is an experimental agent framework that combines Gemini 2.5 Pro’s reasoning with deterministic control flows to interpret user intent, navigate web content, and generate outputs based on web data. Read the case study: https://goo.gle/43Abcdc
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Bug0 uses Gemini 2.5 Pro’s multimodal reasoning capabilities to automate testing and cut manual debugging by 60%. Integrating the model for two primary functions, AI assertion and agentic failure summarization, vastly improved the platform’s debugging workflows and reliability. Explore how they did it: https://goo.gle/42PrUVO
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Grounding with Google Maps is now available in the Gemini API📍https://goo.gle/46YjY7b The new feature connects the multimodal capabilities of Gemini models with the real-world data of Google Maps (from 250 million places) allowing devs to build a new class of geospatial-aware AI apps. Learn to enable the Grounding with Google Maps tool in your Gemini API request, and get: - Hyper-local recommendations - Place-based answers - Route and distance calculations - Check out the docs: https://goo.gle/4qgrgKZ - Remix the demo app: https://goo.gle/3KS846a
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AI Studio starter apps give you the code and inspiration to build your next big idea. Remix any app, like the Home Canvas example shown here, and customize it to your vision with a single prompt. Go from idea to deployment → https://goo.gle/4gHeDEs
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Google AI for Developers reposted this
CEO of Latitude | Built AI Dungeon (8M+ downloads) | Building Voyage: A platform where you can be anyone, do anything, in any world you imagine.
We’ve been working with Google exploring the the future of storytelling with AI video and super excited for the new version of Veo 3.1 to be public. Check it out! https://lnkd.in/g9qYY3ad