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Go into your next system design interview, or your next design review, knowing why, not just what. Each lesson is an animated video, a written deep dive with code that runs, and a quick quiz, starting with AI Engineering and System Design.
AI EngineeringBeginner 3:25 video
§ 01
Each domain is split into modules, from fundamentals to the internals senior engineers know. Pick one and go deep.
Build real applications with LLMs, agents and tools.
Languages, frameworks and more, taught the same way.
§ 02
Every lesson gives you three ways into the same idea, because understanding sticks when you see it, read it and use it.
01 · Watch
A short animated explainer, narrated, with Vora as your guide: diagrams move, data flows, code runs.
02 · Read
The night before the exam
It's the night before Arjun's economics exam. They paste a whole semester of notes, six chapters, into an AI study helper. Then they ask a question from Chapter 1: "What is opportunity cost?"
A written deep dive at your own pace, with code that has been run before it was published.
03 · Practice
Arjun's notes clearly include Chapter 1, yet the helper says the topic isn't covered. What is the most likely reason?
A short quiz that explains every answer, right or wrong.
See the whole lesson: Context Window Explained: Why an AI Model Forgets
§ 03
New lessons are added as they pass review.
3:25AI Engineering Beginner 3 min read
An AI model can only see a fixed amount of text at once: its context window. When your text doesn't fit, part of it is cut, and the model seems to forget.
Oct 26, 2026
7:40AI Engineering Beginner 6 min read
Asking the model nicely in the prompt is not a guardrail. A guardrail is a check your code runs around the model, and it can say no whatever the message says.
Oct 25, 2026
4:40AI Engineering Beginner 5 min read
MCP, the Model Context Protocol, is one shared plug between AI apps and tools. Follow Alex asking their assistant to book an hour with Bob, and see 12 custom connections become 7 pieces.
Oct 25, 2026
7:29AI Engineering Beginner 6 min read
An agent is a model inside a loop: it reads the goal and the history, picks the next tool, sees the result, and repeats. Loop engineering is designing that loop on purpose, including how it stops.
Oct 24, 2026
7:04AI Engineering Beginner 6 min read
The model never runs a tool. It writes a call, a tool name plus arguments, and your code checks it, runs it and hands back the result. Here is one round trip, start to finish, at a small cinema.
Oct 24, 2026
8:02AI Engineering Intermediate 7 min read
An LLM writes an answer word by word. A decision model like Jev picks one answer from your list and says how sure it is, so software can act on every event. Here's how, and what's still unproven.
Oct 24, 2026
§ 04
Engineers preparing for AI Engineering and System Design interviews, and engineers building real systems who want to know why things work, not just what to type. Both get the same thing: one topic, understood properly.
Yes. Every lesson, video and quiz is free. No paywalls, no pop-ups.
No, there's no sign-up. When you mark a lesson as done, that's saved in your browser only, so it stays on this device and nothing is sent to us.
An animated, narrated video with captions, a written deep dive with callouts and key takeaways, code that is run in a sandbox before it's published, and a short quiz.
Each lesson starts from the author's own notes. Every claim is checked, every code example is run in a sandbox, and the author reviews and signs off on each lesson before it goes live.
There's no fixed schedule: new lessons are added as they pass review. The RSS feed, linked in the footer, announces each one.
Email support@codestoa.com if something isn't working, like a video that won't play or a broken link. Email feedback@codestoa.com to report a mistake in a lesson or suggest a topic. The author reads every message.