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Free Course · 12 Lessons · Real Code

Build 10x Faster With AI
Without the Technical Debt

You already have the AI tools. What you're missing is the architecture that makes them actually work. 12 free lessons. Real code. Zero fluff.

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You've got the AI.
So why does everything still feel slow?

You installed Copilot. You started prompting Claude. You watched your terminal fill with generated code. For about ten minutes, it felt like the future.

Then you tried to connect that code to your actual project.

The function signatures didn't match. The generated service called a database table that doesn't exist. The types on the frontend disagreed with the backend. You spent two hours fixing what AI wrote in thirty seconds.

Sound familiar? You're not alone — and you're not doing it wrong.

The problem isn't your AI tool. The problem is your AI tool has no idea how your project is structured. It's guessing. And guessing at scale creates chaos at scale.

Architecture is the multiplier nobody told you about

Here's what we discovered building a production SaaS with AI generating 80% of the code: the developers who get 2x from AI and the ones who get 10x aren't using different tools. They're using the same tools on differently structured projects.

When your codebase has clear types, domain boundaries, and documented conventions — AI stops guessing and starts following patterns. The output goes from "close but wrong" to "merge-ready on the first try."

10x

Compression with architecture

88%

AI first-try accuracy

87%

Bugs caught before review

0

Runtime type errors in production

12 lessons. One pattern at a time.

Each builds on the last. Start anywhere, but we recommend going in order.

1

The Shift

Why architecture matters now

01

The 10x Math

Why Some Developers Build Circles Around You (With the Same AI Tools)

8 min → 02

Your AI Partnership

You Own Architecture, AI Owns Implementation

7 min → 03

Documentation as Code

90 Minutes That Save You 90 Hours

9 min →
2

The Foundation

Four patterns that make AI effective

04

Type Safety Pipeline

One Schema, Zero Drift, Zero Runtime Errors

10 min → 05

Domain Boundaries

Give AI 1,000 Lines of Context, Not 16,000

9 min → 06

Events Over Calls

Replace 8 Dependencies With 1 Line

9 min → 07

Security by Architecture

Enforce It Once, at the Foundation

8 min →
3

The Craft

Quality and velocity

08

Quality Gates

Catch 87% of Bugs Before a Human Ever Reads Your Code

8 min → 09

Ship & Improve

Never Schedule a Refactoring Sprint Again

8 min → 10

Testing for Confidence

Because 100% Coverage With Bad Tests Is Worse Than 80% With Good Ones

7 min → 11

Prompt Engineering Nobody Talks About

Make Prompts Trivial by Structuring Your Code

6 min →
4

The Playbook

Putting it all together

12

The Five Traps

The Mistakes That Undo Everything You Just Learned

7 min →

This is for you if...

  • ✓ You have 1-4 years of dev experience and want to level up fast
  • ✓ You use AI tools (Copilot, Claude, ChatGPT) but aren't getting the results you expected
  • ✓ You've built projects that work but feel fragile — and you can't explain why
  • ✓ You want to understand architecture without reading a 600-page enterprise book
  • ✓ You learn by building, not by watching lectures

Built from a real production system — not a tutorial

This course is based on the book Architecture First by Rachid Almaach, written while building a multi-tenant SaaS with AI-augmented development. Every pattern, metric, and code example comes from that real system — 52,000+ lines of production code, 12 domains, 40 features shipped in 6 months.

These aren't theoretical recommendations. They're field notes.

Frequently asked questions

Is this really free? +
Yes. All 12 lessons are free, forever. No email gate, no paywall halfway through.
What tech stack does this cover? +
The examples use Python/FastAPI on the backend and React/TypeScript on the frontend, but the patterns (type safety, domain boundaries, event-driven design, quality gates) apply to any stack.
Do I need to know AI tools already? +
Basic familiarity with any AI coding tool (Copilot, Claude, ChatGPT) is enough. The course teaches you how to make those tools dramatically more effective.
How is this different from other architecture courses? +
Most architecture content is written for senior engineers and CTOs. This is for developers with 1-4 years experience who want practical patterns they can apply today — with real code, real metrics, and a focus on AI-augmented workflows.
How long does it take to complete? +
About 3 hours of reading. But the real value comes from applying the patterns to your own project — start with lesson 3 (Documentation as Code) and you'll see results the same day.

Stop generating code.
Start building systems.

12 lessons. Real patterns. The architecture that makes AI actually useful.

Start Lesson 1 — Free