Virexa

AIRelease

ML Development in VS Code with Google Cloud Power: Workbench Extension Now Available

The Google Cloud Workbench Notebooks extension for VS Code has officially launched, allowing developers to connect their local IDE to scalable, cloud-based Jupyter environments. This integration streamlines the machine learning lifecycle by eliminating context switching and providing direct access to high-performance Google Cloud infrastructure. To support transparency and community-driven innovation, the newly released extension is fully open-sourced and available on GitHub and the VS Code Marketplace.

Google DevelopersAugust 6, 20261 min read

AINews

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...

Google DevelopersAugust 6, 20261 min read

TechnologyRelease

Build reliable multi-agent applications with ADK Go 2.0. Discover our new graph-based workflow engine, built-in human-in-the-loop, and dynamic orchestration

The Agent Development Kit (ADK) for Go 2.0 has been released, introducing a first-class, graph-based workflow engine to help developers compose complex, multi-agent applications. This update adds built-in primitives for human-in-the-loop (HITL) orchestration, dynamic execution using plain Go code, and automated resilience features like exponential backoff retries. By unifying the execution model, both single-agent applications and intricate graphs now run on the same runtime, simplifying telemetry and state persistence.

Google DevelopersAugust 5, 20261 min read

TechnologyNews

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...

Google DevelopersAugust 2, 20261 min read

TechnologyNews

Measuring What Matters with Jules

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

Google DevelopersAugust 2, 20261 min read

TechnologyNews

A2UI + MCP Apps: Combining the best of declarative and custom agentic UIs

This post introduces three architectural patterns designed to integrate Model Context Protocol (MCP) Apps and Agent-to-User Interface (A2UI) to solve the tradeoff between highly custom iframe environments and native, declarative rendering. By combining these approaches, developers can serve native-feeling UIs directly over MCP servers, embed complex and stateful iframe apps securely inside declarative views, or inject generative UI components into legacy systems. Ultimately, these hybrid frameworks empower engineering teams to deliver secure, performant, and brand-consistent agentic user experiences tailored to their specific project constraints.

Google DevelopersJuly 31, 20261 min read

WorldNews

How A2A is Building a World of Collaborative Agents

Celebrating the first anniversary of the Agent-to-Agent (A2A) protocol, this blog post highlights how the framework enables autonomous AI agents to securely collaborate and hand off tasks without the rigidity of traditional APIs. By delegating complex workflows to specialized peer agents, A2A prevents context pollution, ensures data privacy, and simplifies application design through modularity. To demonstrate this ecosystem in action, the post spotlights FoldRun—an agentic interface for life sciences that orchestrates complex protein structure predictions—alongside diverse A2A use cases spanning commerce, data streaming, DevOps, and telecommunications.

Google DevelopersJuly 31, 20261 min read

TechnologyNews

Announcing the Agentic Resource Discovery specification

An open specification for finding and verifying tools, skills, and agents across the web.Agents are ...

Google DevelopersJuly 30, 20261 min read

ProgrammingOpen Source

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.

Google DevelopersJuly 24, 20261 min read

SecuritySecurity Advisory

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.

Google DevelopersJuly 21, 20261 min read

ProgrammingTutorial

DiffusionGemma: The Developer Guide

DiffusionGemma is an experimental text-generation model built on the Gemma 4 architecture that uses diffusion-based parallel generation instead of token-by-token autoregression, enabling much faster inference, bidirectional context awareness, and real-time self-correction while remaining deployable on consumer GPUs. Its architecture generates and refines 256-token blocks in parallel through iterative denoising, allowing it to handle complex constraint-based tasks such as Sudoku more effectively than traditional language models and demonstrating strong gains from fine-tuning. The model integrates with vLLM and other popular inference frameworks, giving developers access to a new non-autoregressive approach that combines high performance, efficient long-context scaling, and straightforward customization and deployment.

Google DevelopersJuly 18, 20261 min read

News Explorer

ML Development in VS Code with Google Cloud Power: Workbench Extension Now Available

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

Build reliable multi-agent applications with ADK Go 2.0. Discover our new graph-based workflow engine, built-in human-in-the-loop, and dynamic orchestration

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

Measuring What Matters with Jules

A2UI + MCP Apps: Combining the best of declarative and custom agentic UIs

How A2A is Building a World of Collaborative Agents

Announcing the Agentic Resource Discovery specification

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

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

DiffusionGemma: The Developer Guide

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