A hands-on guide to Google’s Gemini CLI – an open-source AI agent that brings autonomous tooling into the terminal, with built-in tools, MCP server support, and extensibility for real-world automation.

Solve ‘agent amnesia’ by building your own LLM memory layer: extract atomic memories, embed them, retrieve on demand, and maintain the store as it grows.

mcp-cli solves context-window bloat by letting agents discover MCP tools just in time instead of preloading every schema upfront.

How bias arises in AI systems, how it harms people and organizations, and how to detect, mitigate, and govern it across the model lifecycle.

A plain-language explanation of the transformer — the 2017 architecture behind modern LLMs — covering the sequential-processing problem it solved, how self-attention works, its key features, and why it reshaped AI far beyond language.