3 things to know about the new CopilotKit integration for Angular
Discover how to build agent-powered web apps with Angular using the new Copilot Genkit integration. Learn about context-aware AI, SmartText areas, and Generative UI.
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Google Developers
Digests from Google Developers
Voice Agent observability with LangSmith 🌟
Learn how to achieve deep observability for voice agents using Gemini Live and LangSmith. See how tracing captures audio, tool calls, interruptions, and cost breakdowns.
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Introducing Gemini Robotics 2
Gemini Robotics 2 introduces whole-body intelligence, dexterity, and multi-robot collaboration. The ER model enables robots to understand complex tasks like cleaning a garage using natural language prompts.
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Voice Agent observability with LangSmith
This session demonstrates tracing a voice agent built with Google ADK and Gemini Live into LangSmith. Tracing provides visibility into tool calls, audio streams, interruption events, and token-level cost breakdowns for production readiness.
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Android Studio Quail 2, the Build with Gemini XPRIZE, and more! - Google Developer News July 2026
Discover Android Studio Quail 2 stable updates, including parallel agentic chats and enhanced Leak Canary. Learn about Android Bench's shift to the Harbor framework for LLM evaluation and details on the $2M Build with Gemini XPRIZE.
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Building the ultimate morning dashboard with Gemini 3.6 Flash and Nano Banana
Raphael demonstrates an automated e-ink dashboard using Gemini 3.6 Flash and Nano Banana. The system checks calendars and weather nightly via AntiGravity to provide intelligent daily reminders for family routines.
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Expose your site's actions to AI agents using WebMCP
WebMCP allows sites to expose functional capabilities directly to AI agents by registering tools using plain JavaScript and defining explicit schemas, bypassing unreliable UI interpretation.
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How are large language models trained?
LLMs are trained in two phases: pre-training via next token prediction, followed by post-training using SFT or RL to ensure safety and helpfulness. Scaling this requires complex GPU parallelism.
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Access all Gemini models with the Interactions API
The Gemini Interactions API is now generally available! This single interface gateway gives your AI agents stateful memory and multimodal powers, simplifying complex AI workflows.
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Get started with the Interactions API
The Interactions API is a unified, stateful interface for Gemini models. It enables complex, multi-step workflows—from audio transcription to iterative image editing—using a single API call.
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Antigravity Arcade: From prompt to game in minutes
Learn how to build a full game development and deployment platform using AI skills. Antigravity Arcade generates functional web games from prompts, enforcing consistency via specialized workflows and deploying them securely to physical arcade cabinets.
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What are the new features in Android Studio Quail 2?
Android Studio Quail 2 streamlines development by integrating parallel agent tasks (Gemini), built-in Leak Canary memory leak detection, and App Quality Insights for automated crash fixing.
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