A reference & self-assessment instrument
The AI-Native Engineering Maturity Model
Ten dimensions for scaling AI — and the decisions that still have to be human.
Free · No signup · v1.0
What it is
AI can now write the code, the tests, and the ticket. What it can't do is decide which of those you actually trust it with — and that decision looks different at every level of maturity.
The model breaks that down across ten dimensions of engineering work. Each one has four stages, from AI used off the books to AI built into how the work gets done. For every dimension you get what the stages actually look like, a question to place your org, and the first concrete move from where you are.
What's inside
The at-a-glance map, plus a detailed rubric for each of the ten dimensions.
How to use it
Place your org on the four-stage scale, one dimension at a time. Then ask a few other people where they'd put it — the most useful conversation is usually in the disagreements. Focus on the one or two dimensions that matter most right now. Once you've placed yourself, the stage above is your next move.
For a faster, team-level read, there is also a free sixteen-question self-assessment: about five minutes, self-scored, nothing leaves your browser.
Get the model
Free, and there's no email wall. This page always links to the current version — future editions land here as the model gets updated.
PDF · 15 pages · v1.0 (2026)
Versions
v1.0 (2026) — current
Updates
New versions land on this page. Leave an email and I'll tell you when.
Who made this
I'm Ed Schaefer. I work with engineering leaders on scaling AI without losing the judgment that has to stay human — moving from shadow-and-sanctioned use to a practice that's governed, measured, and actually embedded. If you want to run this with your team, or work through a single dimension, that's the kind of thing I do.