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  • NOV. 9, 2026 / Mobile

    From prompt to app: Build with Google Maps in AI Studio

    Developers can now build applications powered by Google Maps Platform directly within Google AI Studio by prompting Gemini with real-world geospatial concepts. The integration eliminates traditional configuration hurdles by providing one-click demo keys that generate instantly without requiring Cloud Console redirects or credit cards. This setup grants developers immediate access to core APIs—including Maps, Places, and Routes—supported by daily sandbox quotas for seamless prototyping.

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  • NOV. 9, 2026 / AI

    What is Pathways? Single-controller training for large models

    Pathways is a single-controller distributed training system designed to coordinate large-scale model training across multiple accelerator groups by representing computations as a global dataflow graph. Unlike traditional SPMD models like DDP and FSDP that rely on synchronous collectives, Pathways uses asynchronous dispatch and a central scheduler to maximize hardware utilization and prevent deadlocks in complex workloads. By decoupling model definition from physical hardware via virtual devices, developers can efficiently scale complex training architectures and seamlessly handle dynamic workloads like reinforcement learning post-training.

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  • NOV. 9, 2026 / AI

    Announcing Long-Context Training on TPUs with MaxText Context Parallelism

    Google Cloud's MaxText framework now supports long-context training up to 14 million tokens on Cloud TPUs by implementing four context-parallel strategies: All-gather, A2A, P2P, and USP. Powered by the Tokamax Splash Attention kernel, these strategies effectively manage attention compute and memory bottlenecks without materializing full key-value sequences in high-bandwidth memory. Developers can adopt these capabilities in MaxText v0.2.4 to achieve high Model FLOPs Utilization (MFU) across large-scale model training workflows.

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  • NOV. 3, 2026 / AI

    Cost per task: Using cheap classifiers to route across Gemini models and thinking levels

    Per-token API prices keep falling, yet engineering bills for autonomous coding agents keep climbing....

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  • OCT. 28, 2026 / AI

    Hill-Climbing Agent Quality with Agents CLI Evaluation

    This post walks through the Agents CLI evaluation loop for systematically improving agent performance through continuous testing and grading. It demonstrates how to catch prompt regressions, evaluate model backend swaps using side-by-side trace comparisons, and automate evaluation passes. Developers will also learn how to integrate nightly scheduled runs with threshold-based alerting to track quality over time.

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  • OCT. 27, 2026 / Mobile

    Building Conversational Commerce with Multi-Agent Swarms on GCP: A Working Prototype

    This document provides a publication template and metadata structure for a technical blog post focused on building Conversational User Interfaces (CUIs) using AI. It outlines key developer focus areas, product stacks, and approval workflows required for publishing technical content through Google Developer Studio. The framework helps engineers organize their guides and solutions to effectively share AI-driven conversational interface designs with the developer community.

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  • OCT. 27, 2026 / Mobile

    Fast, reliable A2UI, with swappable inference formats

    A2UI now supports swappable inference formats, introducing A2UI Express which uses up to 3x fewer tokens and cuts latency by compiling compact Python-style syntax into standard A2UI JSON via Agent SDKs. Developers can also use controlled generation with TypeSafe's Jev system-decision models to render known-shape screens in under 300 ms while smaller models stream text. These updates require no changes to frontend renderers or component catalogs, offering flexible performance levers for generative UI development across Python, TypeScript, and Dart.

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  • OCT. 22, 2026 / Cloud

    Streaming comes to API Gateway: real-time and AI-ready APIs, without changing your spec

    API Gateway now supports real-time streaming—including Server-Sent Events, WebSockets, gRPC, and chunked transfer encoding—in Public Preview without requiring changes to your existing API specifications. This update allows developers to route long-lived, bi-directional streams and AI workloads directly through the gateway while maintaining consistent authentication, rate limiting, and observability. Additionally, gateways now feature deterministic default hostnames, simplifying environment provisioning and infrastructure-as-code management.

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  • OCT. 22, 2026 / AI

    Architecting Governed, Self-Evolving AI Agents on Google Cloud

    Learn how Project Chrysalis combines Google Cloud's Gemini Enterprise Agent Platform, Agent Development Kit (ADK), BigQuery, and a four-gate defense-in-depth security stack (Model Armor, Cloud KMS, Binary Authorization, and OPA) to build governed, self-evolving AI agents that remediate live production outages in 1.8 seconds.

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  • OCT. 21, 2026 / AI

    Powering the Agent Development Lifecycle with any framework, from ADK to LangChain and beyond

    The Agents CLI Extension System enables developers to use frameworks like LangChain, LangGraph, or custom enterprise stacks while retaining a unified deployment and evaluation workflow. It details a first-party LangChain template that scaffolds, runs, and deploys agents without requiring the Agent Development Kit (ADK). Additionally, it demonstrates how platform teams can author custom extensions to enforce policies such as automated software bill of materials (SBOM) scans during deployment.

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