2026-06-16 00:00
🔒 Google is improving Sign in with Google by introducing new session metadata claims—auth_time and amr. These updates help developers verify user login freshness and the authentication methods used, enhancing security and trust. Verified apps can now implement better access controls and prevent account takeovers. This change aims to provide a safer experience for users across Google Accounts. #GoogleSecurity #SignInWithGoogle #Cybersecurity #Authentication #DataProtection
Source: Google Developers Blog
2026-06-16 00:00
🚀 Exciting news from Google! The TPU Developer Hub is now live, offering a centralized resource for model builders and developers. 📚 This hub provides essential educational materials, including code-first resources, open-source recipes, and in-depth documentation. Topics cover hardware architecture, software optimization, debugging, and more. 💡 Whether you're starting your journey or looking to optimize performance, the TPU Hub is designed to support all levels of expertise. #TPUDeveloperHub...
Source: Google Developers Blog
2026-06-10 00:00
🚀 Introducing **DiffusionGemma**, an innovative text-generation model based on the Gemma 4 architecture. This experimental model utilizes diffusion-based parallel generation for faster and more efficient text processing. Key features include: - **Compute-bound parallel generation**: Achieves up to 4x faster token generation on GPUs. - **Bidirectional context awareness**: Enables real-time self-correction and evaluates entire text blocks simultaneously. - **Developer-friendly design**:...
Source: Google Developers Blog
2026-06-05 00:00
🚀 Google has introduced the Google Colab Command-Line Interface (CLI), a new tool for developers and AI agents. 🌐 This CLI connects local terminals to remote Colab runtimes, allowing users to request high-powered GPUs and run Python scripts remotely. 📦 It also simplifies artifact recovery, enabling easy access to models and logs. With its integration into standard terminal environments, it's ready for AI agents to manage complex machine learning tasks effectively. #GoogleColab #AI...
Source: Google Developers Blog
2026-06-03 00:00
🚀 Google DeepMind has introduced the Gemma 4 12B model, now accessible on laptops with 16GB of RAM. This model enhances local data processing and visual insights, available on macOS via the Google AI Edge Gallery. Users can execute Python code and utilize voice dictation through Google AI Edge Eloquent, all offline. The new LiteRT-LM CLI also streamlines developer workflows by allowing local endpoints for AI tools. Explore the future of local AI capabilities today! 💻✨ #GoogleAI #DeepMind #AI...
Source: Google Developers Blog
2026-06-03 00:00
🚀 Exciting news in AI development! The Gemma 4 12B has been launched, featuring a unique encoder-free architecture. This innovation allows multimodal data to flow directly into the LLM backbone, minimizing latency. For the first time, this medium-sized model can natively process audio input, making it a significant upgrade in the Gemma family. Gemma 4 12B is also optimized for local use on consumer devices, requiring only 16GB VRAM. Developers can now download macOS applications for seamless...
Source: Google Developers Blog
2026-05-28 00:00
🚀 The Google Tunix Hackathon on Kaggle pushed developers to turn non-reasoning models into reasoning engines using accessible resources. Over 11,000 participants submitted innovative solutions, showcasing that effective reasoning training is achievable with limited computing power. 🧠 Winning teams used advanced techniques like Supervised Fine-Tuning and alignment methods, highlighting the community's capability in AI development. Check out the key innovations and training recipes shared by...
Source: Google Developers Blog
2026-05-28 00:00
🚀 Google has introduced the Google Pay & Wallet Developer MCP server, a tool to enhance integration workflows for developers. This open-standard server connects AI assistants and IDEs with real-time API and account context. It allows developers to search documentation, validate Wallet passes, and manage accounts without leaving their development environment. The aim is to streamline processes, reduce errors, and minimize context switching. #GooglePay #DeveloperTools #AIIntegration #Wallet...
Source: Google Developers Blog
2026-05-27 00:00
🚀 Google Pay is evolving to enhance "agentic commerce"! The platform introduces the Universal Commerce Protocol, enabling seamless integration with existing systems. New updates for Android include dynamic callbacks for easier checkouts and expanded payment support in social media apps. Cross-device biometric authentication and advanced transaction signals will help merchants reduce friction and cut costs. #GooglePay #AgenticCommerce #DigitalPayments #TechUpdates #Ecommerce
Source: Google Developers Blog
2026-05-26 00:00
🚀 Exciting news for Android developers! Google Pay now supports Express checkout with dynamic callbacks. This feature allows apps to use stored user credentials for a smoother checkout process. Developers can implement onPaymentDataChanged and onPaymentAuthorized callbacks for real-time updates during transactions. Key benefits include dynamic shipping and tax calculations, improved conversion rates, and inline transaction authorization. To get started, update your Google Pay dependency in...
Source: Google Developers Blog
2026-05-21 00:00
🚀 Exciting news for developers! ADK for Kotlin and ADK for Android have been launched, marking a significant step in AI agent development. The ADK framework allows for seamless integration of AI agents into backend projects and Android apps, enhancing both functionality and privacy. With features like hybrid orchestration and easy model swapping, developers can now efficiently create multi-agent systems that operate on-device or in the cloud. Explore these new tools to streamline your AI...
Source: Google Developers Blog
2026-05-21 00:00
Google is enhancing its smart home ecosystem with the launch of Gemini for Home, a full-stack AI offering. This initiative aims to help service providers and hardware partners create proactive, branded services without extensive R&D. Key features include advanced camera intelligence, natural language queries, and daily activity summaries. Users can now receive specific event notifications and real-time answers to household questions. Gemini for Home opens new opportunities for carriers, ISPs,...
Source: Google Developers Blog
2026-05-19 00:00
🚀 Exciting updates for the Google AI Edge Gallery! The app now integrates the open-source Model Context Protocol (MCP) on Android, enabling coordination of complex tasks with Google Workspace and Maps. New features include "Schedule Notification" for automating routines and persistent chat history for seamless session continuity. Developers are encouraged to create custom workflows and integrations via GitHub. #GoogleAI #MCP #Innovation #TechUpdates #Developers
Source: Google Developers Blog
2026-05-19 00:00
🚀 Google I/O 2026 introduced exciting advancements in AI technology! This year, Google revealed the transition to independent AI agents with the Gemini 3.5 series and updates to the Antigravity development platform. These enhancements aim to streamline app development for Android and web. New tools include Android CLI tools, an automated Migration agent for converting frameworks to native Kotlin, and Chrome DevTools for agents. Additionally, the proposed WebMCP standard allows browser-based...
Source: Google Developers Blog
2026-05-19 00:00
🚀 Google is transitioning from Gemini CLI to Antigravity CLI to better serve users' needs for complex, multi-agent workflows. Antigravity CLI, built in Go, offers faster execution and asynchronous processing, enhancing your terminal experience. While enterprise users retain access to Gemini CLI until June 18, 2026, individual users must transition to Antigravity CLI. Key features like Agent Skills and Extensions are retained for a smooth transition. #Google #AntigravityCLI #TechUpdate #AI...
Source: Google Developers Blog
2026-05-19 00:00
🚀 Google AI Edge introduces LiteRT-LM, a powerful infrastructure for deploying Gemma 4 across mobile and edge platforms. This optimized engine enhances on-device AI by implementing memory-efficient dynamic loading and Multi-Token Prediction, achieving up to a 2.2x speedup. LiteRT-LM also expands integration with new Swift APIs for Apple and WebGPU-accelerated JavaScript for high-performance browser inference. #AI #MachineLearning #GoogleAI #TechInnovation #EdgeComputing
Source: Google Developers Blog
2026-05-19 00:00
🚀 The Google Tensor ML SDK has entered its Beta phase, allowing developers to build high-performance machine learning models for Google Pixel 10 devices. With integration into LiteRT, developers can now easily convert, compile, and run PyTorch or TFLite models. The new model garden features over 100 AI models, enhancing capabilities like speech recognition and computer vision. This update aims to streamline the development process for on-device AI experiences. #Google #MachineLearning...
Source: Google Developers Blog
2026-05-19 00:00
🚀 Celebrating one year of the Google Cloud x NVIDIA Developer Community! 🎉 With 100,000 members, the community is focused on providing advanced AI infrastructure to builders. Key resources include curated pathways for mastering LLM optimization, GPU-accelerated analytics, and expert-led webinars. Looking ahead, expect hands-on labs, engineering events, and specialized content on agentic AI. Join the journey! #GoogleCloud #NVIDIA #AIDevelopment #TechCommunity #Innovation
Source: Google Developers Blog
2026-05-14 00:00
🚀 Exciting advancements in on-device AI have emerged with the integration of Arm Scalable Matrix Extension 2 (SME2) and Google AI Edge software. This combination allows CPUs to act as powerful matrix-compute accelerators, enhancing audio generation performance. The use of Stability AI’s model shows over 2x speedup and 4x memory reduction, all while maintaining high quality. Discover how LiteRT, XNNPACK, and KleidiAI streamline the development process for AI applications. #AI #MachineLearning...
Source: Google Developers Blog
2026-05-14 00:00
🚀 Introducing Genkit Middleware! Genkit is an open-source framework aimed at developers for building AI-powered applications using TypeScript, Go, Dart, and Python. It features a middleware system that intercepts generation calls to add functionalities like retries, model fallbacks, and human approvals. The framework ensures reliability and control over model outputs by utilizing hooks at various levels, including generate, model, and tool. This allows developers to customize behaviors and...
Source: Google Developers Blog
2026-05-12 00:00
Transform your chatbot experience with the Agent Development Kit (ADK)! 🚀 This article discusses how to build long-running AI agents for enterprise workflows, such as HR onboarding. By utilizing durable state machines and persistent session storage, these agents maintain context even during idle times. Learn about architectural shifts like event-driven dormancy and multi-agent delegation to enhance efficiency and accuracy in complex tasks. Explore the full tutorial and source code on GitHub!...
Source: Google Developers Blog
2026-04-29 00:00
🚀 Google Cloud is enhancing AI/ML workloads with a new integration for PyTorch. This integration connects Rapid Storage to PyTorch via the fsspec interface, addressing common training bottlenecks. By leveraging Google’s Colossus architecture, it achieves over 15 TiB/s throughput. With this solution, developers can reduce training time by 23% without changing their code, simply by updating the storage bucket type. #GoogleCloud #AI #PyTorch #MachineLearning #CloudComputing
Source: Google Developers Blog
2026-04-23 00:00
Unlock the potential of on-device AI with LiteRT! 🚀 This framework helps mobile developers harness Neural Processing Units (NPUs) for enhanced performance and battery life. With a unified API, it simplifies the deployment of advanced AI models across multiple platforms. Industry leaders like Google Meet and Epic Games are already using LiteRT to deliver real-time video effects and accurate speech recognition efficiently. Explore the future of AI on mobile devices! 📱✨ #OnDeviceAI #LiteRT #NPU...
Source: Google Developers Blog
2026-04-22 00:00
🚀 Exciting news from Google Cloud! They have launched the Agents CLI, a tool that simplifies the process of developing and deploying AI agents. This CLI connects local development with production environments, making it easier for developers to build services quickly. With just one command, coding assistants gain access to essential resources, reducing time spent on documentation and improving efficiency. #GoogleCloud #AgentsCLI #AIdevelopment #TechInnovation #CloudComputing
Source: Google Developers Blog
2026-04-21 00:00
Transforming AI agents for real-world applications requires more than just building a prototype. A recent blog details how developers revamped a brittle sales research agent, "Titanium," using Google’s Agent Development Kit. By shifting from a monolithic script to orchestrated sub-agents, they improved reliability and efficiency. Key takeaways include the importance of dynamic RAG pipelines and OpenTelemetry for scalability and transparency. #AIAgents #TechInnovation #SoftwareDevelopment...
Source: Google Developers Blog
2026-04-17 00:00
🚀 A2UI v0.9 is here! This update introduces a framework-agnostic standard for AI agents to create custom UI widgets in real-time, using existing design systems. Key features include: - A new Agent SDK for Python - A shared web-core library for easier integration - Official support for React, Flutter, and Angular A2UI v0.9 aims to enhance developer experience and facilitate seamless streaming of generative interfaces across platforms. #A2UI #GenerativeUI #TechUpdate #AI #Development
Source: Google Developers Blog
2026-04-16 00:00
🚀 MaxText has launched new features for Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) on single-host TPU setups. This enhancement allows developers to refine pre-trained models for specialized tasks efficiently. 🛠️ With JAX and the Tunix library, users can now fine-tune models using Hugging Face datasets with ease. The update supports flexible checkpoints and optimized execution for better performance. 📈 These advancements pave the way for scalable post-training workflows,...
Source: Google Developers Blog
2026-04-15 00:00
🚀 Google has enhanced the Google Pay API, offering developers improved flexibility for merchant-initiated transactions (MIT). Key updates include new features for recurring subscriptions, deferred payments, and automatic reloads. This allows merchants to clearly define future payment terms, improving transparency and reducing transaction declines. Developers can now create smoother and more secure payment experiences. #GooglePay #API #MerchantTransactions #Payments #TechUpdates
Source: Google Developers Blog
2026-04-15 00:00
🚀 Gemini CLI has launched subagents, specialized agents designed to handle complex tasks efficiently. These subagents operate in their own context windows, allowing the primary session to remain fast and focused. Tasks are delegated using the @agent syntax, ensuring streamlined productivity. Key benefits include parallel task execution and prevention of "context rot" by consolidating actions into concise summaries. Customize your own subagents using Markdown files to optimize workflows!...
Source: Google Developers Blog
2026-04-14 00:00
🚀 The Google Cloud AI Agent Bake-Off reveals key insights into developing effective AI agents. The shift from prompt engineering to rigorous agentic engineering underscores the need for a modular, multi-agent architecture. Developers should decompose tasks into specialized sub-agents for efficiency. Prioritizing multimodality and open-source protocols like MCP ensures scalability and integration. #AIAgents #TechDevelopment #Innovation #GoogleCloud #Engineering
Source: Google Developers Blog
2026-04-14 00:00
🚀 Get ready for Google I/O on May 19–20! This year's event will highlight major updates in AI, Android, Chrome, and Cloud. Key topics include the "agentic era" of development, which focuses on new tools to automate workflows and enhance app creation. Attendees can access live sessions, demos, and resources. Don't miss out on this opportunity to learn and innovate! #GoogleIO #TechUpdates #AI #Android #CloudComputing
Source: Google Developers Blog
2026-04-07 00:00
🚀 Introducing TorchTPU, a new engineering stack designed for seamless PyTorch integration on Google’s TPU infrastructure. It offers high-performance capabilities with minimal code changes, utilizing the XLA compiler for optimized distributed training. As we approach 2026, the focus will be on reducing compilation overhead and enhancing support for dynamic shapes. This advancement aims to empower developers and expand AI scalability. #TorchTPU #PyTorch #AI #GoogleTPU #MachineLearning
Source: Google Developers Blog
2026-04-02 00:00
🚀 Google DeepMind has launched Gemma 4, a new family of open models for on-device AI development. It allows developers to create multi-step planning and autonomous workflows directly on hardware, supporting over 140 languages. Gemma 4 is available under Apache 2.0 and is compatible with various devices, including mobile and IoT platforms. Explore the new Google AI Edge Gallery and LiteRT-LM library to enhance your AI projects. #Gemma4 #AI #GoogleDeepMind #OnDeviceAI #TechInnovation
Source: Google Developers Blog
2026-04-02 00:00
🚨 Important Update for Developers! 🚨 Google has rolled out a new feature allowing U.S. users to change their @gmail.com usernames without losing their account data. This change retains the original email as an alias. For developers, this means potential issues with apps that rely solely on email for user identification. Google recommends adopting "subject ID" as the main identifier to avoid account duplication. Stay informed to ensure a smooth user experience! #GoogleUpdate #UserExperience...
Source: Google Developers Blog
2026-04-01 00:00
Unlock the potential of AI with the Agent Development Kit (ADK) SkillToolset! 🤖✨ This innovative architecture allows AI agents to load domain expertise on demand, reducing token usage by up to 90%. Key features include four skill patterns: inline checklists, file-based skills, community-driven imports, and self-extending skill factories. The progressive disclosure method ensures agents access complex instructions only when necessary, creating a scalable framework for modern AI development....
Source: Google Developers Blog
2026-03-31 00:00
🚀 The Agent Development Kit (ADK) for Go 1.0 is here! This launch marks a key transition from experimental AI scripts to production-ready services, focusing on observability, security, and extensibility. Key updates include: - Native OpenTelemetry integration for enhanced tracing. - A new plugin system for self-healing logic. - "Human-in-the-Loop" confirmations for sensitive operations. Developers can now utilize YAML-based configurations and refined Agent2Agent protocols for effective...
Source: Google Developers Blog
2026-03-31 00:00
Maximize your model training efficiency with the new continuous checkpointing feature in Orbax and MaxText! 🚀 This innovative approach optimizes reliability and performance by allowing asynchronous save operations only after prior saves complete. Unlike traditional fixed-frequency checkpointing, it reduces resource wastage and minimizes failure risks during large-scale training jobs. 📊 With just a few configuration changes, you can enable continuous checkpointing and enhance your training...
Source: Google Developers Blog
2026-03-30 00:00
🚀 Exciting news from Google! The Agent Development Kit (ADK) for Java has launched version 1.0.0, featuring advanced tools like Google Maps grounding and built-in URL fetching. This update also introduces a new plugin architecture for better control and management. Key improvements include enhanced context engineering and Human-in-the-Loop workflows for action confirmations. Explore the future of AI agents in Java! 🌐🤖 #Java #AI #AgentDevelopment #Google #TechUpdates
Source: Google Developers Blog
2026-03-25 00:00
📢 Google DeepMind has introduced the "Gemini API developer skill" to help bridge the knowledge gap in software engineering. This new skill offers live documentation and SDK guidance, leading to an impressive increase in success rates for the gemini-3.1-pro-preview model—from 28.2% to 96.6%! 🚀 By providing agents with strong reasoning capabilities and access to current information, outdated coding practices can be effectively addressed. Check it out on GitHub! #GoogleDeepMind #GeminiAPI...
Source: Google Developers Blog
2026-03-24 00:00
Unlock game development potential with Gemini and MediaPipe! 🎮✨ This workflow simplifies motion-controlled game design, allowing developers to quickly prototype using Gemini Canvas. Key features include optimizing for low-latency models and stable tracking points for responsive gameplay. Explore the new Google AI Studio showcase gallery to see examples like a motion-controlled Chrome Dino game. Build interactive apps with real-time sensing capabilities by describing your ideas naturally in AI...
Source: Google Developers Blog