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  • NOV. 12, 2026 / AI

    Catch Go bugs that fuzzing misses with Gemini and a constraint solver

    How pairing Go's surviving compiler bounds-check traps with Gemini 4 Argon and the Z3 constraint solver catches latent out-of-bounds panics in Go code and uncovers a slice-capacity blind spot in go test -fuzz.

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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. 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. 19, 2026 / Mobile

    Native Model Authoring for Edge with LiteRT Tensor API

    Meet the LiteRT Tensor API: giving developers native C++ control over the model graph to unify end-to-end ML computations on heterogeneous edge hardware.

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  • OCT. 19, 2026 / AI

    Step by Step guide: Build a Voice Agent That Never Goes Silent using ADK

    The open-source Agent Development Kit (ADK) and gemini-3.8-live enable developers to build responsive voice agents by implementing non-blocking tools in Python. Developers can use streaming tools to yield progress updates or background execution patterns to keep conversations fluid during long-running backend queries. Additionally, configuring response scheduling behaviors such as WHEN_IDLE, INTERRUPT, or SILENT gives developers precise control over when and how tool results are delivered into the conversation.

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  • OCT. 14, 2026 / AI

    Announcing MCP support in Apigee hybrid: agentic tools that run in your own cluster

    Apigee hybrid 1.17.0 introduces native Model Context Protocol (MCP) support, enabling the MCP data plane to run directly within your own Kubernetes cluster. This architecture ensures that AI agent request traffic and tool execution remain entirely inside your infrastructure while pulling configuration updates from the control plane. Developers can expose OpenAPI 3.0.x specifications as discoverable MCP tools, leverage existing security policies and API products, and trace end-to-end requests using W3C trace context headers.

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  • OCT. 8, 2026 / AI

    The Outer Loop, Insights First: An Ambient Quality Agent That Diagnoses Your Production Agent

    How do you keep improving an AI agent after the first 80%, once it serves real production traffic and silent quality regressions return HTTP 200 OK? We are open-sourcing AQuA (Ambient Quality Agent), a reference implementation that runs beside your production agent in Google Cloud, sweeps and verifies failure clusters against conversation transcripts, and diagnoses root causes anchored to the exact deployed source snapshot.

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  • OCT. 6, 2026 / Mobile

    Bring multimodal semantic search to the edge with EmbeddingGemma 2

    EmbeddingGemma 2 is a new 740M open-weight multimodal model that maps text, images, video, and audio into a unified vector space for privacy-first, on-device retrieval. Developers can easily integrate these capabilities cross-platform using MediaPipe Tasks or optimize fine-grained performance across CPU, GPU, and NPU accelerators with LiteRT. The model enables ultra-low-latency local solutions like search-as-you-type media retrieval, keyframe video moments finding, and zero-shot intent routing.

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  • SEPT. 24, 2026 / AI

    Turn your REST APIs into MCP tools with Google Cloud API Gateway

    Google Cloud API Gateway now acts as a native remote Model Context Protocol (MCP) server, eliminating the need to build and maintain custom middleware to expose REST APIs to AI agents. By simply adding specific annotations (like x-google-api-management.mcp) to existing OpenAPI 3.x specifications, developers can instantly convert standard REST operations into discoverable, agent-ready tools. The gateway automatically transcodes incoming MCP JSON-RPC requests into REST calls, ensuring that your existing authentication, quotas, and logging policies apply seamlessly to agent traffic without requiring new infrastructure.

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  • SEPT. 22, 2026 / AI

    Colab is now part of your Google AI plan

    Unlock premium Google Colab compute with Google AI. Subscribers now get priority accelerators, Premium GPUs, and background execution for long training runs.

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