AI Coding for Real Engineers

Most devs start AI coding the wrong way

They open a chat box, paste a vague task, and hope the model figures it out.

That works for toy changes. It falls apart when the codebase is real, the work spans files, and the result needs to survive review.

AI coding is not just prompting. It is engineering with a new teammate that needs context, constraints, checks, and a workflow.

First step: Analyze like an engineer

Before you ask an agent to change code, you need to understand the system around the change.

You need to know what matters, where the seams are, what can break, and how you will know the work is done.

That means using AI to explore the codebase, ask better questions, map the relevant files, and turn a fuzzy request into a task the agent can actually execute.

Second step: Steer like an engineer

The best AI coding work is not a giant one-shot prompt.

It is a loop:

give the agent a clear task
constrain the scope
let it work
inspect what changed
run checks
feed the result back in
repeat until the work is real

This course teaches that loop directly. You will learn how to make agents useful without handing them the keys to wreck your codebase.

Now: Learn AI coding like a real engineer

AI Coding for Real Engineers is a two-week cohort for developers who want to use AI coding tools on real production-style work.

We will use Claude Code heavily, but the point is bigger than one tool. You will learn workflows that transfer across coding agents: context gathering, planning, steering, feedback loops, autonomous runs, and human-in-the-loop review.

Join AI Coding for Real Engineers starting Monday June 1

You will get a structured set of lessons, exercises, a real project repo, live office hours, and recordings you can keep.

Each week unlocks a set of practical modules. You can follow along live, work async, or catch up when your schedule allows.

Full Schedule: What you'll be learning, doing, and building each week

Each Monday, you will get access to that week's lessons. You can rip through the material, revisit lessons as needed, and bring questions to office hours.

Pre-course: Getting to Know Claude Code

Before the cohort starts, you will get pre-course lessons that help you get comfortable with Claude Code and the course workflow.

If you are brand new to Claude Code, this gets you oriented. If you already use it, this gives you a clean baseline for the exercises.

Week 1: Fundamentals, Steering, and Planning

Week 1 is about making the agent understand the work before it touches the code.

You will learn how to:

explore a codebase with AI
find the files that matter
write better task briefs and PRDs
use steering docs and project context
turn vague ideas into executable plans
work in small loops instead of giant prompts

Week 2: Feedback Loops, AFK Agents, and Human-in-the-Loop Patterns

Week 2 is about getting useful work out of coding agents while keeping engineering judgment in the loop.

You will learn how to:

build feedback loops with tests, types, and runtime checks
run agents against real tasks
review and recover from bad agent work
decide what can run AFK and what needs supervision
use human-in-the-loop workflows for quality and taste

Your future with AI coding is inside

The goal is not to make you dependent on a specific tool.

The goal is to help you build judgment and workflow.

You will leave with a practical way to use agents on real code: planning, execution, validation, review, and iteration.

Learn on your schedule, from anywhere

The cohort is designed for async participation.

Office hours are live on YouTube, recorded, and available afterward. If the live times do not work for you, you can still follow the course and keep the recordings.

What's included

Two weeks of structured cohort lessons
A real project repo for the exercises
Pre-course setup lessons
Live YouTube office hours
Office hours recordings and transcripts
Discord access for cohort discussion
Lifetime access to the material from this cohort run

AI Coding for Real Engineers

A two-week cohort for developers who want to use AI coding tools on real production-style work: context gathering, planning, steering, feedback loops, AFK agents, and human-in-the-loop review.