The engineering academy for the AI era
Learn to build software the way it’s built now.
AI didn’t end software engineering — it raised the bar. We train the judgment, systems thinking, and machine fluency the new craft demands. Live cohorts. Real mentors. Something shipped every single week.
- Live cohorts · pods of 6
- Code review in 24h
- Ship every week
What we believe
The ground shifted. Good.
Code got cheap.
Machines now write most of the lines. Typing speed, syntax recall, framework trivia — the skills bootcamps sold — quietly stopped being the job.
Judgment got expensive.
What to build. How to shape it. When to trust the machine, and how to know it’s wrong. The engineer’s judgment is now the product — and it’s scarce.
We teach the expensive part.
Deep fundamentals, AI-native workflow, and taste — trained weekly, reviewed by senior engineers, and proven in work you defend, not watch.
How we teach
One loop, every week: learn, build, review, reflect.
Every week of every course runs the same four-beat cycle. It mirrors how good engineers actually work — so the habit you build here is the habit you keep.
- 1Early week
Learn
Two live studio sessions introduce the ideas the week’s build demands — nothing that the project doesn’t need.
- 2Mid week
Build
You build the week’s project increment, AI tools in hand from day one. The workflow being taught is the workflow you use.
- 3End of week
Review
A mentor reviews your work within 24 hours — line comments, questions, and a push to go one level deeper. Your pod reviews it too.
- 4Weekend
Reflect
A short build-log entry: what worked, what the AI got wrong, what you’d do differently. Public, honest, and part of your portfolio.
See the whole method — mentorship, accountability, and Waypoint Reviews
The flagship
One program is the center of gravity.
Everything we run either leads to it, deepens it, or brings it to your team.
Find your route
Where are you starting from?
Four doors into the same standard of craft. Pick the one that matches your footing.
New to code
Start at the trailhead
Eight weeks to real fundamentals and disciplined AI leverage — the honest entry ramp.
Software Foundations
Working developer
Make the full climb
The sixteen-week flagship. Architecture, agentic workflows, verification, and a defended capstone.
AI-Native Engineering
Already AI-native
Choose your ridge
Ten-week specializations in AI products or production engineering — depth after the core.
Specializations
Engineering leader
Bring the whole team
Six weeks embedded in your codebase and roadmap, measured in real delivery.
For Teams
From the trail
Hard weeks. Defended work. No mystery graduates.
What climbing here actually feels like — in the words of the people who did it.
“I came in convinced AI tools were making me a worse engineer. Sixteen weeks later I design more carefully than I ever have — and ship about three times faster. The Waypoint reviews were the hardest technical conversations of my career, in the best way.”
“The 48-hour rule is real. I went quiet in week 9 — new baby, chaos — and my mentor called, re-planned my week, and got me to the Friday ship anyway. I have never seen accountability like that in an online course.”
Field Notes
How we think, in writing.
Plausible wrongness: the failure mode of the AI era
AI-generated code doesn’t fail loudly. It fails convincingly. Verification discipline — not prompting skill — is what separates seniors from spectators.
The craft moved up a level. Here’s the map.
What “AI-native software engineering” actually means in practice — and what stays human when machines write most of the code.
The next cohort is forming
Ready to climb?
Applications take ten minutes and are read by an engineer, not a funnel. If a different course fits you better, we’ll say so.