InterviewKata
AI engineering track · from zero to advanced

Learn to use AI tools well, from first principles to production.

Twenty-one modules take you from "what is a token?" to agents, MCP servers, skills, RAG, evals, security and leading your team's adoption. Each one explains the idea plainly, shows it moving step by step, gives you a memory hook, and has you try it in all five major tools: Claude Code, Antigravity CLI, GitHub Copilot, Cursor and Codex.

New to AI tools? Start here → Jump to Module 01 The 26-week roadmap Coding patterns track
Up to date, and honest about itTool commands, model names and prices were checked against each vendor's own documentation in October 2026, and every module says so where it matters. Tools change monthly; the concepts here change slowly. All 21 modules and the case study are ready.

How each module teaches

Every module has the same ten sections, so you always know where to look:

1–3 · Understand

An everyday analogy and a plain explanation, a flow diagram and step-through player, then an interactive widget to try it yourself.

4–5 · Apply

Why it matters in real work, and exactly where the idea shows up in Claude Code, Antigravity CLI, Copilot, Cursor and Codex.

6–10 · Keep it

A memory hook with a full explanation, common mistakes, a 20–30 minute hands-on lab, a quiz, and the best free resources to go deeper.

The 21 modules

Case study

A real repository, anonymised, set up so an AI agent can work in it reliably: what lives in instructions, skills, scripts, hooks and human review, and how to decide.

C01 · A repository set up for agents →

Green tests, but only 7 of 135 ran. The five layers that stop that happening again.

The 26-week roadmap

Thirty minutes a day, five days a week. Each week covers one module (or practises one), using the daily rhythm on the Start here page: learn on Monday, build in one tool on Tuesday, repeat in a second tool on Wednesday, read what changed on Thursday, and explain it in your own words on Friday.

WeekModulePractice output by Friday

Where to go next

Start here →

Set up the five tools, the daily routine, your learning log and the full AI glossary.

Module 01 →

Tokens and next-token prediction: how an LLM actually writes.

Coding patterns →

The other track: 24 patterns that solve most coding interview problems.