A 42 for the AI era.
42 and 01-edu trained great developers for a world before AI. Okuway trains developers who are 4x more faster with it - peer-reviewed, project-based, gamified and wired end-to-end into the tools engineers actually ship with now.
The peer-to-peer model works. The stack running it doesn't.
42 and 01-edu changed coding education. Then the industry changed again. Their platforms haven't caught up — and their pedagogy says they can't.
Their core loop assumes learners write every line by hand.
42 was founded a decade before ChatGPT. 01-edu in 2016. Their pedagogy assumes every learner takes the same path, at the same pace, writing every line by hand — before Cursor, before Claude, before agents made that assumption obsolete.
A funnel where 97% drop out — and nobody helps.
The first month is the hardest, and it's exactly when “no outside help” hits worst — stuck at 2 a.m., no TA, no tutor, no mentor, just another beginner on Discord. Completion rates sit around 3%. Legacy pedagogy calls that rigor; we call it a broken funnel. The students who'd benefit most from structured support are the ones it filters out first.
Peer review with no incentive to be fair.
Legacy intras let peer review happen — but don't stimulate or verify it. No reward for thorough feedback, no penalty for drive-by reviews. AI-pasted submissions slide through unchallenged; students earn checkmarks for code they didn't write. An illusion of progress that collapses at the first real interview.
Pedagogy that still treats AI use as cheating.
“No outside help” was a feature in 2015. In 2026 it's a handicap. Legacy intras flag AI use as misconduct — training students on the stack industry stopped paying for.
Fullstack, one language at a time — over two years.
A 2–4 year path through languages one at a time: C, then scripting, then web, then frameworks. The piscine isn't the only drop-off: most students who survive selection lose momentum within 2–3 months. And when they do finish, there's no portfolio help, no interview prep, no employer pipeline waiting. The curriculum is too long, too linear, and too disconnected from how engineers actually land jobs in 2026.
Change cycles measured in years, not weeks.
The tooling they'd need to integrate, Claude, Cursor, agents, gets re-invented every 2 months. A platform that ships yearly can't teach this era, let alone keep up with it.
A submission shell where a full ecosystem should be.
Legacy intras ship the grading core and stop there. Student dashboards, admin panels, hours tracking, lives and coin systems, events, community layer — the surfaces learners and staff actually live in day-to-day — schools build themselves, or go without. Years in, still not part of the product. You buy a shell and inherit a roadmap.
Every pain above. Answered.
Every principle here ties back to a problem the legacy stack hasn't solved — and a feature you can click today.
AI in the loop
AI isn't banned — it's graded. Learners ship with Cursor, Claude and agents, then defend what they actually understand. Tests and peer attackers expose the gap between pasted code and owned code.
Peer review with stakes
Defenders submit, attackers review. Both sides earn XP, both sides get penalized for drive-bys, disputes are flagged and resolved. Review becomes a measurable skill, not a chore.
Support on day one
AI tutor per block — grounded in prerequisites, required skills and the actual task. Mentors and TAs are allowed. A coin ledger, events and a community layer keep learners engaged past month two.
A shipped ecosystem
Dashboards, hours tracking, lives, coins, events, forum, admin panels, per-campus branding — all in the product from day one. Weekly release cadence. You buy a platform, not a backlog.
9 moving parts, one platform.
Each capability ships today, wired to real data. No mocks, no placeholders.
Peer-review battles
Defenders submit. Attackers challenge. Both earn XP, both lose it for drive-by reviews. Disputes go to a queue. Peer review, finally, is a graded skill.
3D learning map
Every track, a branching graph. Many routes to the end, pick your own. Navigate it, don't scroll it.
Skill radar
Proficiency 0–100, per learner, per skill. The AI reads it to calibrate. Rolled up by team and cohort.
Content authoring
Full control over the curriculum. Staff author blocks, wire skills and tests, add partner challenges direct from hiring companies. Most peer-to-peer platforms lock you to theirs.
AI tutor per block
An LLM grounded in every block. Prerequisites, required skills, the task itself. Per learner. Always on.
Auto quizzes & reflections
A quiz and a reflection per block. Generated by AI, scored automatically. Patterns surface to staff.
Deep gamification
XP, HP, lives, coins, clans, streaks, leaderboards. Every action hits a ledger. No badges for show.
Social layer
Forum, threads, likes. Events with coin rewards. Shipped in the box, not a Discord link.
Git-first submissions
Push to submit. Tests run on commit. Every solution becomes the learner's portfolio.
Twelve months to shipping, not 2+ years.
A traditional CS degree takes four years. The model was built for a world without AI. Ours isn't. Project-based, peer-reviewed, with AI off the plate for the grunt work. Learners ship in 12 months.
Terminal, Git, Python fundamentals, data structures. Selection week at the end. Proof the learner can learn.
Programming foundations, web, databases and APIs, applied AI. Engineering and product paths split here.
Deep dive into frontend, backend, AI engineer, or AI founder. 80 to 120 projects, all peer-reviewed.
Cross-track teams ship a real product across three sprints. Ends in demo day with real judges.
Engineering tracks enter a partner-company internship. AI Founder track launches its startup.
Same axis, same scale · Okuway stops where bootcamps call it done
Where legacy stalls, okuway ships.
Six lines buyers draw when they compare. Our column on the right.
Every choice. Every gap.
Five ways schools already try to run this: capabilities, costs, setup time, time-to-hire. Fourteen honest rows. Five of them leak. One doesn't.
Best-faith comparison built from public docs and operator interviews · Updated Q2 2026 · Corrections welcome
We wanted the 42 peer-review culture without the 2015 software. We weren't finding it anywhere — so we built it.
— why Okuway exists
A subscription, not a license lottery.
Buy 300 licences, fill 200, lose 100 to the year. That's the legacy bill. Ours works like a subscription: billed monthly on active students, scaling up when a cohort lands and down when it graduates. Three operators, one honest tally.
Coding School
For IT schools, bootcamps, and private academies.
University
For colleges, faculties, and innovation programs.
Enterprise & Gov
For national programs, multi-campus, sovereignty.
Every tier ships managed onboarding, starter tracks, and ongoing updates · Exact pricing lands on the intro call, not in a PDF
It's a school. Not software.
Most vendors sell a platform and wish you luck. We sell a working school. The platform is the container it ships in.
Book a demo- 01
Curriculum in the box
Three starter tracks ship day one: frontend developer, backend developer, AI engineer. Each a full graph of blocks, prerequisites, skills and tests. Edit, swap or author on top. Not a bare LMS asking you to fill in the blanks.
- 02
Onboarding, managed
A solution architect runs your setup for two to six weeks. Cohorts enter streams, staff learn the admin, the first peer-review battle goes live. Not a Zoom training and a PDF.
- 03
Updates, ours to ship
When Claude ships a new tier or Cursor changes its API, the platform and content update inside our release cycle, not yours. You run the school. We run the stack.
Questions you actually ask.
The questions we hear most in the first conversation. If yours isn't here, write us.
An operating system for peer-to-peer coding schools, built for the AI era. Curriculum, peer-review battles, AI tutor, gamification, staff dashboards, managed onboarding. You buy a running school, not software to configure.
Retire the two-year path.
Thirty minutes with a solution architect. Walk through the peer-review battles, the AI tutor, and the admin panel. Leave with a concrete plan for your first cohort, not a PDF.
No obligation · No sales follow-up · Real demo, real timeline