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Google for Developers
Technology, Information and Internet
Mountain View, CA 4,099,104 followers
Join a community of creative developers and learn how to use the latest in technology—from AI and cloud, to mobile & web
About us
Discover the latest technologies, resources, events, and announcements to help you build smarter and ship faster. Explore more at developers.google.com
- Website
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http://developers.google.com
External link for Google for Developers
- Industry
- Technology, Information and Internet
- Company size
- 10,001+ employees
- Headquarters
- Mountain View, CA
- Specialties
- coding, engineering, firebase, android, cloud, web development, and mobile development
Updates
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Gemini 3.5 Live Translate is now in Public Preview via the Gemini API, delivering low-latency speech-to-speech translation across over 70 languages and 2,000 language pairs! 🌍 Try the challenge in the comments: What is the most “uncommon” language pair your voice application needs to translate? Tell us, and we will let you know in the comments if the model supports it! Read the full blog announcement: https://goo.gle/3QzaHwN
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💬 Gemini 3.5 Live Translate is now in public preview via the Gemini API and Google AI Studio. While voice translation applications often rely on combining separate speech-to-text, translation, and text-to-speech tools, this new release offers a completely streamlined alternative. Gemini 3.5 Live Translate unifies the entire stack into a single, natively multimodal model. By processing speech as it streams, it delivers low-latency performance while beautifully preserving the speaker’s original tonality, pitch, and pacing for a more natural audio experience. Key developer features: 🛠️ Streamlined architecture: Receive translated audio and text transcriptions in a single model call 🌍 Broad language support: Build workflows across more than 70 languages and 2,000 language pairs 🧠 Automatic language detection: Translate multiple languages in a single stream for seamless performance across long sessions Explore how you can build digital dubbing tools, conversational experiences, and more in AI Studio: https://goo.gle/4vYctH5 Start building with Gemini Live API: https://goo.gle/43kCfcd Get more in the blog: https://goo.gle/3QzaHwN
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Gemini models are now accessible to millions of Apple developers through Apple’s Foundation Models framework and natively within Xcode. This partnership provides seamless cloud-hosted inference to build dynamic, agentic app experiences and boost development velocity. Additionally, you can use agentic coding assistance from Gemini in Xcode to accelerate multi-step development tasks. Key developer features: 🔄 Shared API surface: Swap effortlessly between local and cloud inference with a single code change to optimize costs and latency. 🛡️ No backend required: Use Firebase AI Logic to connect apps directly to Gemini models securely without maintaining a separate backend server. 💻 Gemini in Xcode: Perform complex, multi-step tasks like reviewing code, fixing bugs, and building features faster right from the Intelligence side panel. 🔑 Flexible authentication: Connect easily using self-serve keys from Google AI Studio or corporate quotas via the Gemini Enterprise Agent Platform. Explore the full announcement to start building next-generation AI experiences on Apple platforms today: https://goo.gle/3Q1YDnD
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Catch up on announcements and highlights from I/O by selecting an audio overview, powered by Gemini in NotebookLM. Get all of the NotebookLM podcasts: AI → https://goo.gle/4vgknM1 Android podcast → https://goo.gle/4xgW1D8 Chrome podcast → https://goo.gle/4ogir3j Cloud podcast → https://goo.gle/4fsDihs Check out the full notebook for even more I/O nuggets → https://goo.gle/3SbBLma
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Scaling agent capabilities just got easier. ✨ MCP simplifies how agents access and use tools by standardizing the connection between models and external data. Learn more → https://goo.gle/4ueKrpj
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A small package management puzzle from a familiar workflow. Local development and CI both install the same dependency, but they end up with different versions. package.json has not changed. The clue is in how the install is being resolved. Watch and share which file explains the mismatch.
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What if your AI agent had its own agents? 🤖🤖 A single agent can get confused when multitasking. The solution? Multi-agent architecture. Watch how a main agent can automatically spin up focused sub-agents, delegate tasks in parallel, and synthesize the results seamlessly inside Google AI Studio. Discover the next phase of agentic workflows. Check out the full session here: https://goo.gle/4v0uxjK
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The Google Colab Command-Line Interface (CLI) is officially here, bridging the gap between local terminals and remote Colab runtimes. This release provides a zero-friction execution platform designed for both developers and terminal-based AI agents to instantly offload heavy computational lifting to GPUs or TPUs. Key developer features: ⚡ Instant accelerator offloading: Request high-powered GPUs or TPUs right from the command line. 🛠️ Simple remote execution: Run local Python scripts and complex ML pipelines directly on Colab runtimes. 📦 Seamless artifact recovery: Retrieve models, datasets, and replayable notebook logs using straightforward download commands. 🧠 Agent-driven workflows: Let AI agents use the Colab CLI to automate remote fine-tuning and development tasks. Learn more in the blog: https://goo.gle/4dNPhF6