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Google Developers Blog

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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 ...

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 convent...

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...

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 proto...

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 ...

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 c...

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 ...

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 mana...

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......

Plan mode is now available in Gemini CLI
Gemini CLI now features Plan Mode, a read-only environment that allows the AI to analyze complex codebases and map out architectural changes without the risk of accidental execution. By leveraging the...