Schedule

Week 1 - Mental model, setup & first project

Week 2 - Working inside an existing project

Week 3 - From idea to production: flow, security & debugging

Week 4 - Advanced Claude Code

Week 5 - Capstone project

Overview

This track is about working with an AI coding agent (Claude Code) on real projects. It doesn't teach a specific stack — it's an add-on taken alongside or after a main track (Core, Front end, Back end, Tester, Data, Cloud) and layers on top of any of them.

<aside> 💡

AI agents are a tool — an add-on to real programming knowledge, not a substitute. To direct an agent, review its code, and fix what it breaks, you have to understand programming yourself. This track is a layer on top of learning to code, not a shortcut around it.

</aside>

In this track, you will learn

  1. The right mental model for working with an AI agent — what it can and can't do, and why you stay in charge.
  2. How to set up and run Claude Code, and build a project from scratch with it.
  3. How to safely work inside an existing codebase without breaking what already works.
  4. The full flow from idea to production — skeleton, polish, testing, PR, review.
  5. Security fundamentals, how to review generated code, and how to prompt effectively.
  6. Advanced Claude Code — skills, models, connectors (MCP), and subagents.

After completing this track, you will be able to

  1. Direct an agent on a real project while staying responsible for the result.
  2. Set up Claude Code and ship a project from scratch.
  3. Add a feature to an existing project without breaking shared code.
  4. Take a feature from idea to a reviewed, deployed pull request.
  5. Spot security mistakes, review agent output critically, and phrase tasks for good results.
  6. Configure the agent for your project — subagents, models, and connectors.

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