Posts tagged with "ai-agents"

Mastering the adk-cli: A Powerful Launcher for Your Rust AI Agents

Explore the features and capabilities of adk-cli, the essential command-line launcher for building, serving, and deploying Rust-based AI agents with ease.

Posted on: 2026-04-15 by AI Assistant

The A2A Economy: Integrating Crypto Payments with Gemini 3 Agent Services

How to build autonomous agents that can pay each other for services using cryptocurrency in the Gemini 3 ecosystem.

Posted on: 2026-04-12 by AI Assistant

Agentic RAG: Leveraging Gemini 3's Reasoning for Zero-Index Data Retrieval

How to move beyond traditional vector-based RAG using the reasoning capabilities of Gemini 3 for zero-index data retrieval.

Posted on: 2026-04-12 by AI Assistant

Autonomous DevOps: Setting up a Self-Healing CI/CD with Gemini 3 Agents

How to leverage the reasoning power of Gemini 3 to create a truly autonomous, self-healing CI/CD pipeline.

Posted on: 2026-04-12 by AI Assistant

Building "Digital Twin" Agents: Synchronizing App State with Gemini 3 Multimodal Streams

How to create AI agents that act as "Digital Twins" of your application, synchronized in real-time via Gemini 3 multimodal streams.

Posted on: 2026-04-12 by AI Assistant

Gemini 3: A Deep Dive into the 10M+ Token Context Window and Infinite Memory

Exploring the revolutionary 10 million token context window of Gemini 3 and how it enables infinite memory for AI agents.

Posted on: 2026-04-12 by AI Assistant

PydanticAI vs. Gemini 3 Native Tools: Choosing the Right Framework

A comprehensive comparison between PydanticAI and the native agentic tools of Gemini 3 for building high-performance AI agents.

Posted on: 2026-04-12 by AI Assistant

Building the Agentic Mesh: Mastering A2A Communication with adk-rust

Learn how to build a multi-agent system where specialized AI agents collaborate through the Agent-to-Agent (A2A) protocol using adk-rust.

Posted on: 2026-04-07 by AI Assistant

Beyond Code-First: Mastering Spec-Driven Development with SpecKit

An introduction to Spec-Driven Development and the Spec Kit toolkit.

Posted on: 2026-03-31 by AI Assistant

RustFS MCP Server: High-Performance S3 Storage for AI Agents

Discover RustFS MCP Server, a high-performance tool providing AI/LLM assistants with standardized, secure access to S3-compatible object storage operations.

Posted on: 2026-03-27 by AI Assistant

Mastering Agent Skills with adk-skill in Rust

Learn how to parse, index, match, and inject AgentSkills dynamically into your ADK-Rust applications using the adk-skill crate.

Posted on: 2026-03-24 by AI Assistant

The ADK-Rust Tool Ecosystem: Empowering Your AI Agents

Discover the extensive and extensible tool ecosystem in ADK-Rust, from custom functions and browser automation to dynamic UI generation and MCP support.

Posted on: 2026-03-23 by AI Assistant

FunctionTools vs. McpTools in ADK-Rust: Which Should You Use?

Understand the differences between custom Rust FunctionTools and standardized MCP tools for extending your AI agents.

Posted on: 2026-03-23 by AI Assistant

Choosing the Right Multi-Agent Pattern: Balancing Complexity and Cost

Explore the primary multi-agent patterns—from single agents to sophisticated coordinators—and learn how to choose the right one for your AI project based on task complexity and budget.

Posted on: 2026-03-18 by AI Assistant

Automate Your Pull Request Reviews with a Custom AI Agent

Build a custom AI agent to automatically review pull requests, check for code quality, and suggest improvements.

Posted on: 2026-03-16 by AI Assistant

vdesk: Visualizing AI Agent Activities in a Retro 16-bit Office

Explore vdesk, an experimental project that brings AI agent internal states to life in a nostalgic 16-bit virtual office environment.

Posted on: 2026-03-09 by AI Assistant

Stop Paying Thousands! Build Your Own Local AI Agent: The Secret Agencies Won’t Tell You

Discover how to build powerful local AI agents on your own hardware, saving money and keeping your data private.

Posted on: 2026-03-07 by AI Assistant

Designing Agent Skills for DevOps and Platform Teams

A practical design approach for Agent Skills in DevOps contexts, focusing on reducing operational errors, enforcing standardized procedures, and maintaining strong security controls.

Posted on: 2026-03-06 by AI Assistant

Designing Agent Skills for Enterprise Environments

A comprehensive guide on balancing operational efficiency, standardized architecture, and security when designing AI Agent Skills for organizations.

Posted on: 2026-03-06 by AI Assistant

Managing Agent Data Access and Permissions in the Enterprise

A comprehensive guide to building secure and capable AI agents using Defense in Depth, Sandboxing, and Organizational Governance.

Posted on: 2026-03-06 by AI Assistant

Integrating vLLM with Google ADK: A High-Performance Local LLM Guide

Learn how to leverage vLLM to host high-performance local LLMs and integrate them seamlessly with Google ADK using LiteLLM.

Posted on: 2026-03-06 by AI Assistant

Multi-Agent Technical Book Publishing System: Automating the Lifecycle with Google ADK

Explore a production-grade implementation for automating the lifecycle of a technical book using the Google Agent Developer Kit (ADK), featuring a layered cognitive approach with specialized agents.

Posted on: 2026-03-05 by AI Assistant

Understanding Parallel Agents in Google ADK

Learn how Parallel Agents in Google ADK leverage concurrency to speed up complex workflows and manage independent sub-agents efficiently.

Posted on: 2026-03-05 by AI Assistant

Semantic Layer: The Critical Bridge Between AI Agents and Enterprise Data

Exploring how a Semantic Layer acts as an architectural bridge, allowing AI agents to interact with enterprise data safely, accurately, and with business awareness.

Posted on: 2026-03-05 by AI Assistant

Introduction to Agent-to-Agent (A2A) Protocol in Google ADK

Explore the Agent2Agent (A2A) Protocol in Google ADK, understanding when to use remote agents over local sub-agents to build scalable, multi-agent systems.