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  • JULY 9, 2026 / Web

    LiteRT.js, Google's high performance Web AI Inference

    We're excited to introduce LiteRT.js, the newest member of the LiteRT family! LiteRT.js is our powerful solution for running machine learning models directly in the browser, extending Google's cross-platform edge AI runtime to the web. Built for JavaScript developers, LiteRT.js delivers state-of-the-art ML model inference performance on WebGPU and upcoming WebNN, with a fallback to WebAssembly for CPU. This post provides a quick tour of LiteRT.js and gives web developers everything they need to get started.

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  • JULY 8, 2026 / Mobile

    Bridging the Domain Gap: AI Race Coach built with Antigravity and Gemini

    On May 23, 2026, fresh off the stage at Google I/O, our Google Developer Experts (GDEs) converged on...

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  • JULY 6, 2026 / AI

    We terminated a TPU mid-training and it recovered in seconds: Introduction to elastic training with MaxText

    Distributed AI training is notoriously fragile because losing a single machine typically crashes the entire multi-node job, forcing a time-consuming, full-workload infrastructure restart. To address this, Google’s JAX ecosystem utilizes elastic training via Pathways, which converts a hardware failure into a catchable Python exception so the running process can survive. When an unplanned failure occurs, the system automatically replaces only the broken worker, restores the last viable checkpoint from Cloud Storage, and resumes training in place—minimizing total downtime to under two minutes without ever restarting the main controller process.

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  • JULY 1, 2026 / AI

    Build agentic full-stack apps with Genkit

    The open-source Genkit framework has introduced the Agents API, a full-stack tool designed to simplify the complex plumbing of conversational AI by packaging message history, tool loops, and streaming into a single interface. The API supports flexible, server- or client-managed state persistence—allowing for advanced workflows like history branching, long-running detached tasks, and multi-agent coordination—while seamlessly connecting backends to frontends via a unified wire protocol. Currently available in preview for TypeScript and Go, it also integrates with the Genkit Developer UI to allow developers to easily test, debug, and inspect agent snapshots without writing client code.

    Agent Development Kit: Making it easy to build multi-agent applications
  • JULY 1, 2026 / AI

    Why we built ADK 2.0

    Answering the questions of "why we built ADK 2.0". This explains the rationale, some of the features, and why a developer should consider upgrading. This will be published the day after ADK go 2.0 launches.

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  • JUNE 22, 2026 / AI

    Build Cross-Language Multi-Agent Team with Google’s Agent Development Kit and A2A

    How a Python agent and a Go agent collaborate on contract compliance using the Agent2Agent protocolY...

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  • JUNE 22, 2026 / Web

    Measuring What Matters with Jules

    AI coding agents are rapidly shifting from reactive assistants that complete tasks when prompted to ...

    Measuring What Matters with Jules 1.0
  • JUNE 16, 2026 / AI

    Unlocking the Power of the TPU Stack: Introducing our new Developer Hub

    Google has officially launched the TPU Developer Hub, a centralized educational resource designed to help model builders and developers maximize the performance of Google Cloud TPUs. The hub offers code-first resources, open-source recipes, and deep-dive documentation covering hardware architecture, software optimization, debugging, parallelism, and networking. These materials are tailored for both human developers and AI-assisted tools to streamline everything from large-scale training to low-latency inference workloads.

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  • JUNE 16, 2026 / Mobile

    Enhance Security and Trust: New Session Metadata in Sign in with Google

    Google is enhancing Sign in with Google by introducing new OIDC standard claims—specifically auth_time and amr (Authentication Methods Reference) to provide developers with deeper session metadata. These updates allow verified apps to verify the "freshness" of a user's login and the specific authentication methods used (such as MFA or hardware keys), enabling more dynamic, risk-based access controls. By leveraging these federated identity signals, platforms can better prevent account takeover and fraud while implementing granular security policies like step-up authentication for sensitive actions.

    Usability and Safety Updates to Google Auth Platform
  • MAY 27, 2026 / Google Pay

    The latest updates to Google Pay

    Google Pay is evolving for "agentic commerce" by introducing the Universal Commerce Protocol and a new MCP server that allows AI agents to manage integrations and analyze trends. New Android updates introduce dynamic callbacks for seamless express checkouts and extend payment support into social media apps via WebViews. Additionally, the platform is launching cross-device biometric authentication and new transaction signals to help merchants reduce friction and optimize processing costs.

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