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, …

Topics Covered

Recorded from a live session, this course covers the following topics:

  • The shift to agentic workflows and how coding agents work
  • Planning work with a spec (spec.md)
  • Context engineering: giving your agent the right data at the right time
  • Vertical feature implementation and TDD with an agent
  • Validating agent-written code with tests and logs
  • Development and project rules in AGENTS.md / CLAUDE.md
  • Extending your agent with skills and MCPs
  • Using agents to review code, including a look at roborev
  • Adding features and refactoring code with an agent

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