nomoregoogle.com

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Privacy-friendly alternatives to Google that don’t track you.

Typecatcher

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Google fonts on Linux.

lmgtfy.com

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Let me google that for you

google.com/insights/search/

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Google Insights for Search, you can compare search volume patterns across specific regions, categories, time frames and properties.
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code.google.com

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Google code homepage

Production-Ready AI Agents: 5 Lessons from Refactoring a Monolith

The blog post outlines the transition of a brittle sales research prototype into a robust production agent using Google’s Agent Development Kit (ADK). By replacing monolithic scripts with orchestrated sub-agents and structured Pydantic outputs, the developers eliminated silent failures and fragile parsing. Additionally, the post highlights the necessity of dynamic RAG pipelines and OpenTelemetry observability to ensure AI agents are scalable, cost-effective, and transparent in real-world applications.

ADK Go 1.0 Arrives!

The launch of Agent Development Kit (ADK) for Go 1.0 marks a significant shift from experimental AI scripts to production-ready services by prioritizing observability, security, and extensibility. Key updates include native OpenTelemetry integration for deep tracing, a new plugin system for self-healing logic, and "Human-in-the-Loop" confirmations to ensure safety during sensitive operations. Additionally, the release introduces YAML-based configurations for rapid iteration and refined Agent2Agent (A2A) protocols to support seamless communication across different programming languages. This framework empowers developers to build complex, reliable multi-agent systems using the high-performance engineering standards of Golang.

Announcing the Colab MCP Server: Connect Any AI Agent to Google Colab

When you’re prototyping locally with AI agents like Gemini CLI, Claude Code, or your own agent, thei...

Developer’s Guide to AI Agent Protocols

This blog post introduces a suite of six protocols, such as MCP and A2A, designed to eliminate custom integration code by standardizing how AI agents access data and communicate. Using a "kitchen manager" agent as a practical example, it demonstrates how these tools handle complex tasks like real-time inventory checks, wholesale commerce via UCP, and secure payment authorization through AP2. By leveraging the Agent Development Kit (ADK), developers can also implement A2UI and AG-UI to deliver interactive dashboards and seamless streaming interfaces to users.

Build a smart financial assistant with LlamaParse and Gemini 3.1

This blog post introduces a workflow for extracting high-quality data from complex, unstructured documents by combining LlamaParse with Gemini 3.1 models. It demonstrates an event-driven architecture that uses Gemini 3.1 Pro for agentic parsing of dense financial tables and Gemini 3.1 Flash for cost-effective summarization. By following the provided tutorial, developers can build a personal finance assistant capable of transforming messy brokerage statements into structured, human-readable insights.

Jump to play: Building with Gemini & MediaPipe

The provided workflow streamlines motion-controlled game development by using Gemini Canvas to rapidly prototype mechanics like the MediaPipe Pose Landmarker through high-level prompting. Developers can refine these prototypes in Google AI Studio by optimizing for low-latency "lite" models and stable tracking points, such as shoulder landmarks, to ensure responsive gameplay. The process concludes by using Gemini Code Assist to refactor experimental code into a modular, production-ready application capable of supporting various multimodal inputs.

Closing the knowledge gap with agent skills

To bridge the gap between static model knowledge and rapidly evolving software practices, Google DeepMind developed a "Gemini API developer skill" that provides agents with live documentation and SDK guidance. Evaluation results show a massive performance boost, with the gemini-3.1-pro-preview model jumping from a 28.2% to a 96.6% success rate when equipped with the skill. This lightweight approach demonstrates how giving models strong reasoning capabilities and access to a "source of truth" can effectively eliminate outdated coding patterns.

Announcing ADK for Java 1.0.0: Building the Future of AI Agents in Java

Google has released version 1.0.0 of the Agent Development Kit (ADK) for Java, introducing powerful new features like Google Maps grounding, built-in URL fetching, and a standardized Agent2Agent protocol for cross-framework collaboration. The update enhances agent control through a new "App" and "Plugin" architecture, which allows for global logging, automated context window management via event compaction, and "Human-in-the-Loop" workflows for action confirmations. Additionally, the release provides robust session and memory services using Google Cloud integrations like Firestore and Vertex AI to manage long-term state and large data artifacts.

Boost Training Goodput: How Continuous Checkpointing Optimizes Reliability in Orbax and MaxText

The newly introduced continuous checkpointing feature in Orbax and MaxText is designed to optimize the balance between reliability and performance during model training, addressing issues with conventional fixed-frequency checkpointing. Unlike fixed intervals—which can either compromise reliability or bottleneck performance—continuous checkpointing maximizes I/O bandwidth and minimizes failure risk by asynchronously initiating a new save operation only after the previous one successfully completes. Benchmarks demonstrate that this approach significantly reduces checkpoint intervals and results in substantial resource conservation, especially in large-scale training jobs where mean-time-between-failure (MTBF) is short.

Developer’s Guide to Building ADK Agents with Skills

The Agent Development Kit (ADK) SkillToolset introduces a "progressive disclosure" architecture that allows AI agents to load domain expertise on demand, reducing token usage by up to 90% compared to traditional monolithic prompts. Through four distinct patterns—ranging from simple inline checklists to "skill factories" where agents write their own code—the system enables agents to dynamically expand their capabilities at runtime using the universal agentskills.io specification. This modular approach ensures that complex instructions and external resources are only accessed when relevant, creating a scalable and self-extending framework for modern AI development.

googleblog.blogspot.com

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The Official Google Blog

How educators can help students reach their full potential

21 April 2026 @ 1:00 pm

Leon Smith, the 2026 National Teacher of the Year, reflects on his visit to Google’s campus in California.

Google brings Pomelli in English to small businesses in Europe.

21 April 2026 @ 7:00 am

Small businesses across the EEA, U.K. and Switzerland can now use Pomelli in English to create custom, on-brand campaigns.

We’re expanding Gemini in Chrome to users in Asia Pacific.

20 April 2026 @ 10:00 pm

Google is rolling out many of Chrome's latest AI features in Australia, Indonesia, Japan, Philippines, Singapore, South Korea and Vietnam.

New touch-up tools in Google Photos’ image editor let you make quick, subtle fixes.

20 April 2026 @ 5:00 pm

New touch-up tools in Google Photos’ image editor let you refine skin texture, remove blemishes, brighten eyes or whiten teeth.

Start vibe coding in AI Studio with your Google AI subscription.

20 April 2026 @ 4:32 pm

Starting today, Google AI Pro and Ultra subscribers get increased usage limits in Google AI Studio. This update also includes access to Nano Banana Pro and Gemini Pro mo…

Discover this year’s trending summer travel destinations and activities

17 April 2026 @ 2:00 pm

Google Flights and Search trends told us what’s on everyone’s mind this year as it relates to summer travel.

7 ways to travel smarter this summer, with help from Google

17 April 2026 @ 2:00 pm

The latest tools from Google can help you plan trips, find a great deal and explore your next destination.

A new way to explore the web with AI Mode in Chrome

16 April 2026 @ 5:00 pm

Today’s upgrades for AI Mode in Chrome transform how you interact with the web

Voting is live: Help choose the next Doodle for Google winner

16 April 2026 @ 4:30 pm

It’s time to choose the next Doodle for Google winner — and every vote counts. Meet the five student finalists and make your pick.

Nest thermostats have saved users an estimated $14 billion and 200 billion kWh of energy since 2011.

16 April 2026 @ 4:00 pm

Google Nest thermostats saved 200 billion kWh of energy since 2011. With energy-saving features, Nest helps get the most out of your home.

mail.google.com

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GMail login – Google’s free internet email account

docs.google.com

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Google docs – online word, office & spreadsheets

Youtube.com

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Youtube (Google) generation video community, with a bias for corporate censorship.

feedburner.google.com

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