Course Introduction

Most teams are using AI as glorified autocomplete. In this course, you will build a web service in Go using an AI agent that actually follows solid development guidelines — from planning and context engineering to skills, MCPs, and code review.

You will move beyond autocomplete to structured planning, spec-driven work, and vertical feature delivery, while learning how to give your agent the right data at the right time so outputs stay grounded and useful.

This course is part of the Ultimate Go Track. Not sold separately.

Note: All of our bundles are for a one-year subscription.

At the end of the subscription period, your membership does not automatically renew.

Requirements:

It’s expected that you will have been coding in Go for several months, and that you are familiar with basic AI coding agents.

You should have the following installed on your computer prior to starting the course:

  • Go 1.24+ SDK
  • Git
  • A coding agent such as Claude Code, Codex, Gemini, amp, opencode, …

Course Outline

Module 1 - Agentic Workflows & Planning
  • 1.1 - The shift to agentic workflows and understanding coding agents
  • 1.2 - Planning work (spec.md)
  • 1.3 - Context engineering: providing the right data to your agent
  • 1.4 - Vertical feature implementation and TDD
  • 1.5 - Using tests and logs to validate code
Module 2 - Project Rules, Skills & Review
  • 2.1 - Writing development rules & project rules in AGENTS.md / CLAUDE.md
  • 2.2 - Enhancing your agent with skills and MCPs
  • 2.3 - Using agents to review code (a look at roborev)
  • 2.4 - Adding features and refactoring code

Skills You’ll Gain

  • Agentic workflows
  • Context engineering
  • Planning (spec.md)
  • Vertical feature delivery
  • TDD with agents
  • AGENTS.md / CLAUDE.md
  • Project rules
  • Skills & MCPs
  • Agent code review
  • Refactoring with agents
  • Tests and logs
  • Production Go practices