Revealing how to build a Micro Agent's brain (decision core) and nervous system (perception/control), mastering prompts, context, and control flow for Agent engineering.

General-purpose AI Agents easily get lost; the future belongs to focused 'Micro Agents' embedded in deterministic workflows.

Learn to use Gemini CLI's google_web_search and web_fetch tools, mastering how to safely and efficiently let AI Agents scrape and process real-time web data.

Learn how Gemini CLI manages global, project, and local memory through its hierarchical instructional context system for persistent AI cognition.

Explore how Gemini CLI safely and efficiently reads, understands, and modifies your code through layered perception and precise replacement tools.

Explore how Google Gemini CLI implements cross-platform sandboxing through Docker and native macOS technology, ensuring system security when AI Agents execute commands.