engineer@aine:~/learn$ ./roadmap --7-days
Become an AI-nativeengineer in a week.
In one week you can learn more than many engineers who haven’t upskilled. This path is your starting point. Work through the theory and practice exercises to learn the mindset and apply it from day one.
- 7 days
- 39 topics
- theory + practice
- free · no email
Every topic links to curated videos and articles. Watching or reading them is part of the path, not optional homework.
You'll learn what AI-Native Engineering means and why shifting from implementer to orchestrator matters. This foundation sets the mindset for the rest of the week.
One day at a time, in order
Day 4 assumes day 3. Skipping ahead to the tooling is the single most common way people bounce off this material.
Do the practice, not just the theory
The practice tab is where the learning happens. Reading about context engineering changes nothing; assembling context for a real task changes everything.
Use your own codebase
Every exercise works better against code you actually own, with the messiness that comes with it.
Bring one other person
Most of this is a team practice. Two people going through it together is worth more than five people who each half-did it.
Finished the week? The book is the next 30.
The roadmap gets you working. The book is where every one of these topics gets worked out in full, with the trade-offs, the failure modes, and the team practices behind it.