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  • MARCH 3, 2026 / Gemini

    How we built the Google I/O 2026 Save the Date experience

    Google I/O 2026 is returning May 19-20 at Shoreline Amphitheatre in Mountain View, CA. But before the keynotes begin, you can get into the spirit of the event with our annual tradition: the save the date puzzle. This year's experience highlights how AI can empower and accelerate

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  • FEB. 19, 2026 / Gemini

    Turn creative prompts into interactive XR experiences with Gemini

    The Android XR team is using Gemini's Canvas feature to make creating immersive extended reality (XR) experiences more accessible. This allows developers to rapidly prototype interactive 3D environments and models on a Samsung Galaxy XR headset using simple creative prompts.

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  • FEB. 17, 2026 / Gemini

    Get ready for Google I/O 2026

    Google I/O returns May 19-20. Watch the livestreams for updates on Android, AI, Chrome, and Cloud. Registration is open on the Google I/O website.

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  • AUG. 27, 2025 / Gemini

    Beyond the terminal: Gemini CLI comes to Zed

    Google and Zed have partnered to integrate Gemini CLI directly into the Zed code editor, bringing AI capabilities directly into the editor for developers and allowing for faster and more focused coding, enabling tasks like in-place code generation, instant answers, and natural chat within the terminal with a seamless review workflow for AI-generated changes.

    Gemini CLI is now integrated into Zed, bringing AI directly to your code editor
  • AUG. 26, 2025 / Gemini

    Introducing Gemini 2.5 Flash Image, our state-of-the-art image model

    Gemini 2.5 Flash Image is a new state-of-the-art image generation and editing model that allows for blending multiple images, maintaining character consistency, and targeted transformations using natural language, leveraging Gemini's world knowledge, now available through the Gemini API, Google AI Studio, and Vertex AI.

    Introducing Gemini 2.5 Flash Image
  • AUG. 21, 2025 / Gemini

    What's new in Gemini Code Assist

    Gemini Code Assist's Agent Mode, now available in VS Code (Preview) and IntelliJ (Stable), streamlines complex coding tasks by proposing detailed plans for user review and approval. This intelligent, collaborative approach, enhanced with features like inline diffs and persistent chat history, aims to boost developer productivity and efficiency.

    New in Gemini Code Assist: Agent Mode more widely available, IDE improvements and Gemini CLI updates
  • AUG. 18, 2025 / Gemini

    URL context tool for Gemini API now generally available

    The Gemini API's URL Context tool is now generally available, allowing developers to ground prompts using web content instead of manual uploads. This release expands support to PDFs and images.

    URL context tool for Gemini API now generally available
  • AUG. 13, 2025 / Gemini

    Gemini CLI + VS Code: Native diffing and context-aware workflows

    The latest Gemini CLI update provides a deep IDE integration within VS Code for intelligent, context-aware suggestions, and native in-editor diffing, allowing developers to review and modify proposed changes directly within the diff view for a more efficient workflow.

    Gemini CLI + VS Code integration
  • JULY 30, 2025 / Gemini

    Introducing LangExtract: A Gemini powered information extraction library

    LangExtract is a new open-source Python library powered by Gemini models for extracting structured information from unstructured text, offering precise source grounding, reliable structured outputs using controlled generation, optimized long-context extraction, interactive visualization, and flexible LLM backend support.

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  • JULY 30, 2025 / Gemini

    Gemini Embedding: Powering RAG and context engineering

    The Gemini Embedding model enhances AI applications, particularly through context engineering, which is being successfully adopted by various organizations across industries to power context-aware systems, leading to significant improvements in performance, accuracy, and efficiency.

    Gemini Embedding: Powering RAG and context engineering