WNCAcademy
WNC Academy

It's time to learn.

AI is reshaping how every craft is practiced. WNC Academy is how we — the team behind Atflow, Alt Auth, AdCrier, and Base — help working professionals study it deliberately. A small curriculum, written with care, designed to keep your mind sharp through the change.

See the curriculum

Seven courses · written by Anderson da Silva, CTO at WNC · $45 / month, cancel anytime

A note from WNC

We do not believe AI replaces the people who study it. We believe AI rewards them. Our hope is to make that study a habit again — for engineers, for managers, for anyone whose work has been quietly rewritten by these tools.

— The team at WNC

How the academy is built

Three principles

I

Reading, not watching

Each lesson is a written, edited essay — designed for the same focus you bring to a serious book. Skim it once, read it slowly, return to it later.

II

Practice, not anecdote

Every chapter ends with a concrete exercise drawn from real production code. You finish a lesson with something running, not a head full of vibes.

III

Curated, not exhaustive

We teach what we've shipped. The curriculum is small on purpose — seven courses you can actually finish — rather than a forgettable library of hundreds.

Anastasiia Nikulshyna

"At WNC we hire people who insist on getting better — that's the only constant we've found in engineers who keep up with this pace. The Academy is the version of that habit we wanted to make available to everyone, not just the people who happen to work here."

Anastasiia Nikulshyna · Head of People, WNC

The curriculum

A small library, sequenced for momentum

Seven courses that build on one another. You can read them in order, or step into the one your work needs first.

  1. I

    Introductory · 4–6 hours

    Foundations of AI-Assisted Development

    How agentic coding actually works. Mental models, vocabulary, and the habits that separate productive use from magical thinking.

  2. II

    Intermediate · 5–7 hours

    Daily Practice & Workflow Mastery

    Refining a daily rhythm: how to plan, ship, refactor, and review with AI assistance — without losing craftsmanship.

  3. III

    Intermediate · 4–5 hours

    Spec-Driven Development & The BMAD Method

    A structured method for AI-assisted projects. From specification to delivery, in a way that scales beyond a single engineer.

  4. IV

    Advanced · 3–4 hours

    AI-Native Team Development

    Coordination patterns, cultural shifts, and organisational design for groups where every contributor pairs with AI.

  5. V

    Intermediate · 4–5 hours

    Mastering Cowork

    Autonomous knowledge work for non-engineers — building, deploying, and operating small AI-powered tools end-to-end.

  6. VI

    Advanced · 6–8 hours

    Advanced Patterns & Techniques

    Context engineering, hooks, sub-agents, autonomous loops — the non-obvious moves that transform AI from helper to colleague.

  7. VII

    Expert · 8–10 hours

    Certification Mastery

    Everything required to earn the Claude Certified Architect — Foundations credential, with original practice material and case studies.

Additional courses on AI literacy for product, design, and operations roles ship into the same membership as they're written.

What a lesson reads like

A page from Course II

Every lesson opens with prerequisites and a clearly stated goal, then walks through the idea in sustained prose with embedded examples.

Course II · Lesson 04

The Define → Plan → Iterate workflow

~50 minute read · written by Anderson da Silva

The most common mistake new practitioners make is treating an AI assistant as an oracle. You ask, it answers; you ask again, it answers again. After an hour of this, you have a pile of partial outputs and no clear idea which of them you actually wanted.

The discipline that fixes this is older than AI. It is the same discipline that distinguishes a thoughtful pull request from a careless one: define the goal before you start, plan a small step, take that step, then check yourself. What changes in the AI era is the speed of the cycle — and that speed is the temptation. We will read three case studies in this lesson where treating the cycle with seriousness saved the engineer many hours.

"The plan is the part of the work the AI cannot do for you. Everything else, eventually, it will."

The first case study, drawn from a refactor we shipped in Atflow last quarter, concerns a forty-seven-file rename across a dozen repositories…

Lesson continues for ~46 more minutes. Members read the full lesson
Anderson da Silva

Your instructor

Anderson da Silva

Chief Technology Officer, WNC

Anderson directs engineering at WNC and authors every Academy course. He has spent the last decade shipping production software, the last two years pairing every working hour with AI tools, and the last several months distilling what he's learned into a curriculum he wishes he'd had himself.

His writing is direct, opinionated, and grounded in code that ships. There is no marketing voice in these lessons.

Membership

One library, one price

Single tier. All current and future courses. Cancel anytime — no contracts, no retention emails.

$45/ month, billed monthly
  • All current courses, every lesson
  • New courses ship into the same membership automatically
  • Verifiable PDF certificate when you complete a course
  • Cancel anytime — Stripe handles the billing
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Common questions

Reasonable doubts, addressed

Reading is still the densest, fastest way for an engineer or knowledge worker to absorb a deliberate idea. Videos rot when tools change, and AI tools change quickly. Each lesson is laid out the way a careful book is — argument, example, exercise — so you can scan, focus, and return.
WNCAcademy

The discipline of staying current is, after all, just the discipline of reading the next page.

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