Gemini Agents: A2A meets MCP with Human-in-the-Loop
How I implemented an Interactive Human-in-the-Loop Approval Gate in a multi-agent system using state suspension for the Google Agentic Architect Sprint 2026.
Agentic-AI Glossary: Rules, Hooks, and Skills.
What exactly are Skills, Rules, and Hooks in the world of Agentic AI? A friendly glossary for engineers building agents.
Gemini Agents: from SDK to ADK - The Agent Loop
Let's dissect the agent loop using Gemini SDK, and understand the four phases: Observe, Think, Act, and Learn. This is a deep dive with implementation details.
Understanding Temperature, Top-p, and Top-k in LLMs
Learn how temperature, top-p, and top-k affect the behavior of large language models (LLMs) and how to configure them using the Python Gemini API.