Gemini-Cli

Learn how to build a fully functional Match-3 game using agentic coding, the Gemini CLI, and Go. We explore plan mode and custom sub-agents.

Learn how to use Gemini CLI’s built-in skill-creator to automatically generate, refine, and structure your own custom Agent Skills using practical examples.

Unlock on-demand expertise for your AI agent. Learn how to use Agent Skills in Gemini CLI to build modular, scalable, and autonomous workflows.

Taming AI agents requires science, not just vibes. Discover how A/B testing and statistical rigor turn coding agents into a measurable engineering discipline.

Get the speed of AI without the mess. Apply engineering basics to keep your code structured, safe, and built to last.

The story of Speedgrapher, a custom MCP server for ‘vibe writing.’ It details the journey of turning a personal collection of prompts into a portable, AI-powered toolkit to automate and structure the creative process.

A step-by-step guide on how I built GoDoctor, an AI-powered Go development assistant, using the Model Context Protocol (MCP) and the Gemini CLI.

Learn how to customise the Gemini CLI to suit your coding style using GEMINI.md and custom system instructions.

A proposal for a modern developer workflow using AI tools and a simple prioritisation exercise.