Explore the latest updates on Google Wallet
Google Wallet has expanded globally and introduced new features like digital IDs via a new Digital Credentials API, granular notifications for pass updates, and nearby pass notifications, along with other features like Value Added Opportunities and a P...
Bringing Gemini intelligence to Google Home APIs
Gemini intelligence is being integrated into Google Home APIs, offering developers access to over 750 million devices and enabling advanced features like AI-powered camera analysis and automated routines.
An upgraded dev experience in Google AI Studio
Google AI Studio has been upgraded to enhance the developer experience, featuring native code generation with Gemini 2.5 Pro, agentic tools, and enhanced multimodal generation capabilities, plus new features like the Build tab, Live API, and improved t...
What you should know from the Google I/O 2025 Developer keynote
Top announcements from Google I/O 2025 focus on building across Google platforms and innovating with AI models from Google DeepMind, with key focus on new tools, APIs, and features designed to enhance developer productivity and create AI-powered experi...
What's new with Agents: ADK, Agent Engine, and A2A Enhancements
Updates to Google's agent technologies include the Agent Development Kit (ADK) with new Python and Java versions, an improved Agent Engine UI for management, and enhancements to the Agent2Agent (A2A) protocol for better agent communication and security.
Building agents with Google Gemini and open source frameworks
Google Gemini models offer several advantages when building AI agents, such as advanced reasoning, function calling, multimodality, and large context window capabilities. Open-source frameworks like LangGraph, CrewAI, LlamaIndex, and Composio can be us...
From idea to app: Introducing Stitch, a new way to design UIs
Stitch, a new Google Labs experiment, uses AI to generate UI designs and frontend code from text prompts and images, aiming to streamline the design and development workflow, offering features like UI generation from natural language or images, rapid i...
LiteRT: Maximum performance, simplified
LiteRT has been improved to boost AI model performance and efficiency on mobile devices by effectively utilizing GPUs and NPUs, now requiring significantly less code, enabling simplified hardware accelerator selection, and more for optimal on-device pe...
Fully Reimagined: AI-First Google Colab
Google Colab is launching a reimagined AI-first version at Google I/O, featuring an agentic collaborator powered by Gemini 2.5 Flash with iterative querying capabilities, an upgraded Data Science Agent, effortless code transformation, and flexible inte...
Google AI for game developers
Revisit announcements from this year's Games Developer Conference (GDC). Explore how Gemma and Gemini models can aid in building AI experiences in games with the launch of Gemma 3, the Unity plugin, its application in a sample game, and scaling games w...
Gemini 2.5 Models now support implicit caching
The rollout of implicit caching in the Gemini API expands on the existing explicit caching API, providing an "always on" caching system which offers automatic cost savings to developers using Gemini 2.5 models and continued availability of the explicit...
Create and edit images with Gemini 2.0 in preview
Gemini 2.0 Flash's image generation capabilities, now available in preview in Google AI Studio and Vertex AI, feature higher rate limits, enhanced visual quality, more precise text rendering, and more, allowing developers to create applications for pro...
Gemini 2.5 Pro Preview: even better coding performance
An updated I/O edition preview of Gemini 2.5 Pro is being released for developers, featuring best-in-class front-end and UI development performance, ranking #1 on the WebDev Arena leaderboard, and showcasing applications like video to code and easier f...
Gemma explained: What’s new in Gemma 3
Gemma 3's new features include vision-language capabilities and architectural changes for improved memory efficiency and longer context handling compared to previous Gemma models.
