Google code homepage
Gemini Code Assist in Apigee API Management now generally available
Gemini Code Assist in Apigee API Management enhances API development with AI-assisted features like natural language API creation, AI-generated summaries, and iterative design, allowing seamless integration with your organization's existing API ecosystem and ensuring consistency, security, and reduced duplication, while offering enterprise-grade security and a streamlined development workflow.
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 used with Gemini for agent development.
Announcing Gemma 3n preview: powerful, efficient, mobile-first AI
Gemma 3n is a cutting-edge open model designed for fast, multimodal AI on devices, featuring optimized performance, unique flexibility with a 2-in-1 model, and expanded multimodal understanding with audio, empowering developers to build live, interactive applications and sophisticated audio-centric experiences.
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 iteration, and seamless paste to Figma and front-end code.
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.
On-device small language models with multimodality, RAG, and Function Calling
Google AI Edge advancements, include new Gemma 3 models, broader model support, and features like on-device RAG and Function Calling to enhance on-device generative AI capabilities.
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 performance.
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 experiences using Gemini, Android, Firebase, and web.
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 interaction methods, aiming to significantly improve coding workflows.
New Google Pay features to enhance your payment flows
At Google I/O 2025, new Google Pay API updates were unveiled to enhance checkout experiences with features like Android WebViews integration, a more versatile API, and improved developer tools.